Relevant bibliographies by topics / Invoice recognition

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Invoice recognition'

Author: Grafiati
Published: 5 June 2025
Last updated: 24 June 2025

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Journal articles on the topic "Invoice recognition"

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Yao, Xunfeng, Hao Sun, Sijun Li, and Weichao Lu. "Invoice Detection and Recognition System Based on Deep Learning." Security and Communication Networks 2022 (January 25, 2022): 1–10. http://dx.doi.org/10.1155/2022/8032726.

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With the development of economy and information technology, a large amount of invoice information has been produced. As one of the important components of the industrial Internet of Things, the recognition of invoice information is urgent to realize its intelligent recognition. Most invoice issuing units basically adopt traditional manual identification methods for the processing of invoices. As the number of invoices increases, problems such as low efficiency in identifying invoice information, error-prone, and difficulty in ensuring security frequently appear. In response to the above problems, this paper designs and implements an invoice information recognition system based on deep learning. The system first solves the problems of low image contrast and lack of image due to poor lighting or noise effects by image preprocessing methods such as image graying and normalization. Second, a target detection and invoice recognition method based on the combination of YOLOv3 + CRNN two models is proposed, and an end-to-end invoice information recognition model is obtained. Finally, the model is used to develop an invoice detection and recognition system based on deep learning. Experiments have verified that the system has the characteristics of high recognition accuracy and high efficiency, which can accurately identify invoice content information and reduce the loss of manpower and material resources.
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Singh, Arti. "Automated Invoice Data Extraction: Advancements and Challenges in OCR-Based Approaches." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem35494.

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The Invoice Recognition System (IRS) is an innovative system that is poised to revolutionize automatic data extraction from invoices. The IRS expertly translates handwritten and printed invoice data into efficient digital formats, utilizing cutting-edge data capture techniques and Optical Character Recognition (OCR) technology. The IRS, built for businesses with huge invoice volumes, aims to significantly enhance financial and administrative productivity by reducing errors and eliminating the need for manual data entry. The system makes advantage of OCR precision to ensure that information is thoroughly interpreted and extracted, enhancing data accuracy and processing speed. The IRS appears to be a useful tool for improving complex financial and administrative procedures, thanks to its adaptability to various invoicing forms. Keywords: invoice recognition system,OCR(optical character recognition),Automation,Invoices.
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Xian, Xiao Ping. "Machine-Printed Invoice Number Based on Fuzzy Recognition." Applied Mechanics and Materials 214 (November 2012): 705–10. http://dx.doi.org/10.4028/www.scientific.net/amm.214.705.

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A new fuzzy recognition method of machine-printed invoice number based on neural network is presented. This method includes ten links: invoice number detection and separation of right on top of invoice, binarization, denoising, incline correction, extraction of invoice code numerals, window scaling, location standardization, thinning, extraction of numeral feature and fuzzy recognition based on BP neural network. Through testing, the recognition rate of this method can be over 99%.The recognition time of characters for character is less than 1 second, which means that the method is of more effective recognition ability and can better satisfy the real system requirements.
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Li, Zhijie, Wencan Tian, Changhua Li, Yunpeng Li, and Haoqi Shi. "A Structured Recognition Method for Invoices Based on StrucTexT Model." Applied Sciences 13, no. 12 (2023): 6946. http://dx.doi.org/10.3390/app13126946.

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Invoice recognition has long been an active research direction in the field of image recognition. Existing invoice recognition methods suffer from a low recognition rate for structured invoices, a slow recognition speed, and difficulty in mobile deployment. To address these issues, we propose an invoice-structured recognition method based on the StrucTexT model. This method uses the idea of knowledge distillation to speed up the recognition speed and compress the model size without reducing the model recognition rate; this is achieved using the teacher model StrucTexT to guide the student model StrucTexT_slim. The method can effectively solve the problems of slow model recognition speed and large model size that make mobile deployment difficult with traditional methods. Experimental results show that the proposed model achieves an accuracy rate of over 94% on the SROIE and FUNSD public datasets and over 95% on the self-built structured invoice dataset. In addition, the method is 30% faster than other models (YOLOv4, LeNet-5, and Tesseract-OCR) in terms of recognition speed, while the model size is compressed by about 20%.
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Han, Yoon-Sang, Hong-Il Seo, and Dong-Hoan Seo. "Study on handwritten invoice recognition system." Journal of Advanced Marine Engineering and Technology 47, no. 6 (2023): 411–18. http://dx.doi.org/10.5916/jamet.2023.47.6.411.

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Pan, Wenfu, Li Chen, and Ruxing Zhang. "Automatic Recognition of Financial Instruments Based on Anisotropic Partial Differential Equations." Advances in Mathematical Physics 2021 (October 28, 2021): 1–13. http://dx.doi.org/10.1155/2021/6529859.

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In this paper, anisotropic partial differential equations are used to conduct an indepth study and analysis of automatic recognition of financial bills. Firstly, it obtains the invoices of the group enterprise, uses scanning technology and related image recognition technology to capture, process, compress and slice the paper bill content, and then carries out data identification and verification of the image. It classifies the obtained electronic data information into bills, converts it into electronic information related to bills according to the corresponding categories of the bill template, and stores it in the bill table of the database to achieve the management operation of formatted electronic files. After categorizing the bills according to the electronic information of bills to match the business scenarios, financial journal vouchers can be generated according to the preconfigured voucher templates of the corresponding business scenarios, and the financial journal vouchers are converted into voucher messages using XML technology. Finally, we use agent technology to design middleware for heterogeneous financial systems to realize the function of communicating voucher messages to each other in different business systems. The system automatically extracts the key information of invoices through OCR technology and performs real-time verification and cyclical feedback to the verification results to the suppliers. The system has realized the intelligent management of the power company’s VAT invoices, thus greatly enhancing the efficiency of VAT invoice verification and settlement. The automatic tax invoice recognition system adopts a network structured tax invoice recognition model, which eliminates the cumbersome steps of character decomposition and character classification in traditional OCR character recognition. After several trials, it has obtained better experimental results in terms of recognition accuracy, with an accuracy rate of over 93% in the recognition of tax invoice data set.
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Et. al., Rekha M,. "Educational Training For Processing Invoice Of Vendor Identification And Payments Using Python-Tesseract." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 11 (2021): 224–28. http://dx.doi.org/10.17762/turcomat.v12i11.5864.

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The aim of the project is to recognize the invoices of receipts from various vendors, by using automated invoice processing using various learning educational tools. This automated invoice processing is far better than manual invoice processing, it saves a serious amount of time and money creating efficiencies and increasing the accuracy of captured data. Basically, the invoices were calculated from the scanned receipts by using python-tesseract software. Python- tesseract is an optical character recognition (OCR) tool for python. It will recognize and read the text embedded in images. So, this python-tesseract software extracts key information like bill or invoice number, amount etc.; from all receipts and imports the calculated invoices and total amount of all receipts which are given by vendors to the database.
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Baviskar, Dipali, Swati Ahirrao, and Ketan Kotecha. "Multi-Layout Invoice Document Dataset (MIDD): A Dataset for Named Entity Recognition." Data 6, no. 7 (2021): 78. http://dx.doi.org/10.3390/data6070078.

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The day-to-day working of an organization produces a massive volume of unstructured data in the form of invoices, legal contracts, mortgage processing forms, and many more. Organizations can utilize the insights concealed in such unstructured documents for their operational benefit. However, analyzing and extracting insights from such numerous and complex unstructured documents is a tedious task. Hence, the research in this area is encouraging the development of novel frameworks and tools that can automate the key information extraction from unstructured documents. However, the availability of standard, best-quality, and annotated unstructured document datasets is a serious challenge for accomplishing the goal of extracting key information from unstructured documents. This work expedites the researcher’s task by providing a high-quality, highly diverse, multi-layout, and annotated invoice documents dataset for extracting key information from unstructured documents. Researchers can use the proposed dataset for layout-independent unstructured invoice document processing and to develop an artificial intelligence (AI)-based tool to identify and extract named entities in the invoice documents. Our dataset includes 630 invoice document PDFs with four different layouts collected from diverse suppliers. As far as we know, our invoice dataset is the only openly available dataset comprising high-quality, highly diverse, multi-layout, and annotated invoice documents.
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Ming, Delie, Jian Liu, and Jinwen Tian. "Research on Chinese financial invoice recognition technology." Pattern Recognition Letters 24, no. 1-3 (2003): 489–97. http://dx.doi.org/10.1016/s0167-8655(02)00271-4.

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Vijaya, Dr V. Krishna. "INVOICE DATA EXTRACTION USING OCR TECHNIQUE." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29981.

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Traditional invoice processing involves manual entry of data, leading to human errors, delays,and increased operational costs. The lack of automation results in inefficiencies, hindering organizations from promptly accessing critical financial information. This research addresses the pressing need for a reliable OCR-based solution to automate invoice data extraction, ultimately improving accuracy, reducing processing time, and enhancing overall business productivity. The project aims to automate invoice data extraction through Optical Character Recognition (OCR) techniques. Leveraging advanced image processing and machine learning, the system will analyze scanned or photographed invoices, extracting relevant information such as vendor details, itemized costs, and dates.This automation streamlines manual data entry processes, enhancing accuracy and efficiency in managing financial records. OCR invoicing is the process of training a template-based OCR model for specific invoice layouts, setting up input paths for these invoices, extracting data, and integrating the extracted data with a structured database. Keywords: Invoice, OCR, YOLO algorithm, Data Extraction, Image Processing, Database Integration.
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Dissertations / Theses on the topic "Invoice recognition"

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Su, Hsiang-hao, and 蘇相豪. "A Study of Invoice Numbers Recognition." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/29132819048555018642.

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碩士<br>國立臺南大學<br>數位學習科技學系碩士班<br>99<br>It’s very common that the public get strip-type invoices printed out by cash registers from the stores when they finish their daily consumer shopping. With the increase in the total prize money and the improved chance, customers are now more willing to get the invoices. However, it’s such a boring and time-consuming job to deal with the accumulated invoices every two months. Especially, it takes much more effort and time to check through so many invoices that are donated to charities. If the task can be done by a computer or a cell phone, it will be much more convenient. This thesis presents a method about how to use the digital image processing technique to do the job more efficiently. The numbers can be selected out firstly, and then the Artificial Neural Network is used to recognize them. Eventually the results are displayed. The experiments indicate that if proper light, distance, background and angle are moderate, the outcome is every accurate.
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Yang, Hsin-Wei, and 楊馨媁. "CNN-based Handwritten Invoice Recognition System." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/c5zem6.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>107<br>This paper proposes a method that uses deep learning and convolution neural network (CNN) for handwritten invoice recognition, this method can help enterprises solve that enterprises use only handwritten invoices and reduce labor costs of sorting invoices. Invoice recognition contains invoice number, buyer's government uniform invoice number, seller's government uniform invoice number, digital total amount, and Chinese total amount. Models train by different content, analyze and calculate the best results based on the labels, coordinates and scores of the model detection results. Besides, total amount result use digital total amount and Chinese total amount to correct, which increase 3% accuracy of total amount. The experiment use about 500 labeled invoices to train models, use models to recognize that randomly selected 1000 invoices, according to research results, the overall recognition accuracy over 95%.
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Liu, Yu-Chen, and 劉于誠. "Handwritten Invoice Recognition System Using Deep Learning." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/k32pva.

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碩士<br>國立臺灣海洋大學<br>資訊工程學系<br>107<br>On the day of checkout, companies always counts countless paper invoices. According to the report, people generated about 8 billion invoices each year, so if we can use the computer to process the invoice, it will be more convenient. This paper uses the high accuracy and high efficiency of “YOLO V3” to identify the five fields on the triplicate uniform invoice to solve the cumbersome and error-prone problem of manual processing. Different systems have not only been able to judge English printed characters, Arabic numerals, Arabic numerals, more Chinese characters, but also some symbols that people often use to replace “0”. Use YOLO to separate every image into S x S grids, and each of which is responsible for being detected for the object features falling into it. To determine which tag it belongs to. Therefore, compared with the past, this system research can judge the number and text of the plural on the invoice, and has a high accuracy.
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Tu, Meng-Qui, and 塗孟秋. "Image-Based Invoice Real-Time Recognition and Winning System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/80368513433808704360.

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碩士<br>國立高雄大學<br>電機工程學系碩士班<br>99<br>In order to prevent the tax invasion problem for the Ministry of finance, they encouraged people to receive the invoice to established extra incomes from the beginning of the rewarding method of uniform invoice a in November, 77 in Republic of China. That is also one of the most important financial resources for many charitable organizations. However, check the award-winning list one by one in artificial was pretty monotone. It’s not only time-consuming but also tedious for the cross match between the totally invoice accumulated in two months and many pair of award-winning numbers. If we can make the procedure consistent in checking number through computers, that could lower the user’s burden in speed step. The automatic invoice winning system in this theory with Open Source Computer Vision Library was used in personal computer. To every kinds of counters, including angles, lights, and different types of watermarks, it make good used of computer USB and PC Camera of personal computer with simple background. The way of using image-processing to auto-detect the target receipt, and distinguish the compared number on the receipt has made the reward-checking become a constant process of visual distinguishing done by computer. The experiment has showed out that the system can processing the receipt immediately at the speed of 27 frames per second, 360 degree of willful angle allowed, and with the 98.63 percent of high precision can select any kind of color and vein under the watermark’s background of the winning ticket; each of the receipt’s average time of calculation from vision-selection to distinguish the number is 114 ms, achieving the goal of lifting efficiency while checking ticket and lower the consumption of personal.
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Huang, Wei-cyuan, and 黃偉銓. "Automatic recognition of invoice numbers based on digital image processing." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/60348088986789421962.

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碩士<br>國立臺灣科技大學<br>高分子系<br>96<br>Invoices are widely used in our society. Because the amount of invoices is usually large when we check the Invoice numbers for price, the checking work is tedious and time-consuming. Digital image processing technologies have been widely used to recognize characters and numbers, such as recognizing vehicle plate numbers. However, there is few research work invoice number recognition. In this paper, we apply digital image processing to automatic invoice number recognition. We use neural networks to recognize numbers. Our method is robust and tolerant of skew and scaling. From experimental results, our method can obtain good performance of recognizing invoice numbers.
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Gu, Feng-Wen, and 古馮文. "Happy Uniform Invoice：An Automatic Machine for Recognition of Uniform-Invoice Numbers." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/56922508918600201764.

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碩士<br>銘傳大學<br>資訊工程學系碩士班<br>99<br>Uniform-Invoice system has been developed at December 12, 1950. It play an important role to prevent the business tax evasion. In order to encourage people taking Uniform-Invoice, Taiwan government adds a rule that the number of Uniform-Invoice can win money by match the winning number. 115 billion pieces of Uniform-Invoice have been issued per year now. For everyone, matching the Uniform-Invoice numbers and winning numbers is a big trouble. According to the data of Ministry of Finance, R.O.C. from September 2007 to now, there are 45% winning Uniform-Invoice not presented to win the money. So an automatic machine for recognition of Uniform-Invoice numbers is needed. We propose an automatic machine for recognizing Uniform-Invoice numbers which can solve a lot of Uniform-Invoice problems with up-to-date winning numbers, optical number recognition, and audio tips.
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Wang, Jhen-Yang, and 王振陽. "Applying Image Processing Technology to Pattern Recognition of Poker and Invoice." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/tcg9rd.

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碩士<br>國立彰化師範大學<br>電機工程學系<br>105<br>This thesis proposes a method of pattern recognition for two applications. One is to recognize the number and suits of playing cards, and the other is for the invoice number. The system applies edge detection, image rotation, and morphology to character enhancement. We use connected-region labeling to capture the region of interest of poker. In the other hand, we take the width of invoice as a scale to capture the region of interest of invoice. The regions of interest for two applications are captured automatically. We use Optical Character Recognition (OCR) for pattern recognition. Based on comparing the normalized character with database, the system can find the correct character. According to the experimental results the proposed method has high efficiency. The character recognition accuracy of poker is 100%. The processing time of recognizing poker takes about 2.774 seconds. After adding new module to the database, the character recognition accuracy of invoice is about 99.24%. The processing time of recognizing invoice takes about 3.381 seconds.
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Chiu, Yu-Shu, and 邱郁淑. "The Investigation and Implementation of A High Precision Invoice Number Recognition System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/85495951295206653646.

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碩士<br>義守大學<br>資訊工程學系碩士班<br>98<br>Invoices are widely used in our daily lives, but it takes a lot of time to check whether we have won the prize or not. In this research, we apply a high precision invoice number recognition system for personal or official uses. The system captures the invoice number, and transfers to the embedded Linux system which is composed of an open source OS and GUI. The system uses template matching technique to recognize numbers. The algorithm used in this research can be applied to the recognition of car plate numbers.
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CAI, CHAO-SHUN, and 蔡招順. "A Study on Invoices Recognition with Support Vector Machine." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/ry4dtq.

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碩士<br>大葉大學<br>資訊工程學系碩士班<br>105<br>This study mainly focuses on the functions of support vector machine which is used to recognize the numerals on the two-copy cash register uniform-invoice. The research point is on the image pictures of two-copy cash register uniform-invoice. By using the technology of image processing, the numerals on the uniform-invoice will be preprocessed in order to analyze and position. Then, based on the support vector machine, we can undertake the comparison and recognition to achieve the targeted effects of this study. In this study, the invoice image input by the system are all color images. First, these images will be grayed. Then, they are processed by means of to filter most of the noise to present cleaner binary images. By horizontal and vertical projection, the horizontal pixel points and vertical pixel points in the images will accumulate. And the numeral areas of uniform-invoice will be captured by cross-matching. The captured numerals will then be segmented in sequence to be indicated respectively. Because of the serious damages to some captured numerals, they will be inflated and eroded in a uniform way. Accordingly, the support vector machine follows the above process to treat the training pictures. After processing, the result will be put in the support vector machine to capture and classify the characteristics. Lastly, the input uniform-invoice images will be compared and recognized by the finished classified characteristic modules.
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Books on the topic "Invoice recognition"

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Calder, Andrew J. Does Facial Identity and Facial Expression Recognition Involve Separate Visual Routes? Oxford University Press, 2011. http://dx.doi.org/10.1093/oxfordhb/9780199559053.013.0022.

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Nigel, Blackaby, Partasides Constantine, Redfern Alan, and Hunter Martin. 11 Recognition and Enforcement of Arbitral Awards. Oxford University Press, 2015. http://dx.doi.org/10.1093/law/9780198714248.003.0011.

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This chapter examines the recognition and enforcement of arbitral awards. It discusses the carrying out, or performance, of awards, so as to place recognition and enforcement in their proper context. In arbitration, if the losing party fails to carry out an award, the winning party needs to take steps to enforce performance of it. Two steps may be taken. The first is to exert some form of pressure, commercial or otherwise, in order to show the losing party that it is in its interests to perform the award voluntarily. The second is to invoke the powers of the state to obtain a charge over the losing party’s assets or in other ways to compel performance of the award. Pressure may also be exerted through adverse publicity. This method is adopted by trade associations and has the effect of discouraging other traders in the market from dealing with the defaulting party.
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Trevor C, Hartley. Part III Recognition and Enforcement, 18 Brussels and Lugano: Grounds for Refusal of Recognition and Enforcement of Judgments. Oxford University Press, 2017. http://dx.doi.org/10.1093/law/9780198729006.003.0018.

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The general rule in Brussels 2012 and Lugano 2007 is that all judgments from other Member States or Lugano States must be recognized unless there is a reason why they should not be. This chapter discusses those reasons. The grounds for refusal set out in the instruments apply to both recognition and enforcement of a judgment. However, in the case of enforcement, the judgment-debtor may also invoke grounds that apply under national law for the non-enforcement of national judgments — for example, that the judgment has been satisfied. This is not possible with regard to recognition: recognition may be refused only on the grounds set out in the instruments. The principal grounds are set out in Brussels 2012, Article 45, and Lugano 2007, Articles 34 and 35.
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McLachlan, Neil M. Timbre, Pitch, and Music. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199935345.013.44.

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The perception of a sound’s timbre and pitch may be related to the more basic auditory function of sound recognition. Timbre may be related to the sensory experience (or memory) by which we recognize the source or meaning of a sound, while pitch may involve the recognition and mapping of timbres along a cognitive spatial dimension. Musical dissonance may then result from failure of sound recognition mechanisms, resulting in poor integration of pitch information and heightened arousal in musicians. Neurobiological models of auditory processing that include cortico-ponto-cerebellar and limbic pathways provide an account of the neural plasticity that underpins sound recognition and more complex human musical behaviors.
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Church, Jennifer. Boundary Problems. Edited by K. W. M. Fulford, Martin Davies, Richard G. T. Gipps, et al. Oxford University Press, 2013. http://dx.doi.org/10.1093/oxfordhb/9780199579563.013.0031.

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Many psychiatric disorders involve problems with the recognition and preservation of personal boundaries. Philosophy can help to clarify what is at stake, both socially and phenomenologically, in drawing such boundaries. In particular, assignments of responsibility and determinations of loss are deeply implicated in the determination of personal boundaries. Understanding these implications can help make sense of the volatile emotions of borderline personality disorder, for example, and it can clarify what is missing from DSM descriptions more generally.
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Alessandra, Gianelli. Part IV Invalidity and Termination of Treaties, 20 Absolute Invalidity of Treaties and Their Non-Recognition by Third States. Oxford University Press, 2011. http://dx.doi.org/10.1093/acprof:oso/9780199588916.003.0020.

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The 1969 Vienna Convention leaves to States parties a treaty invalid because of its conflict with a peremptory norm the initiative, and the choice of having the International Court of Justice declare the invalidity or of reaching an agreement to the same result. The Vienna Convention provides a similar solution with regard to the invalidity of treaties concluded as a result of coercion. According to widespread opinion, third States may not consider those treaties invalid independently from the parties' action. This outcome is particularly problematic, given that both are cases of so-called absolute invalidity, where nullity is the consequence of a contrast with rules of fundamental importance in contemporary international law. This chapter explores ways in which third States may invoke such an absolute invalidity, reaching the conclusion that through the well-established practice of non-recognition States have long declared their intention to consider treaties in such cases invalid, notwithstanding any lack of initiative of the States parties.
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Salama, Alan D. The patient with vasculitis. Edited by Giuseppe Remuzzi. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0159_update_001.

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Primary systemic vasculitis frequently leads to renal involvement and is responsible for significant numbers of patients progressing to end-stage renal disease. Frequently this is due to small vessel vasculitis, in association with antineutrophil cytoplasm antibody, which requires prompt recognition and timely therapeutic intervention to optimize renal and patient outcomes. Other organ systems are often affected. Relapses occur in about 50%.Less commonly medium or larger vessel vasculitis may involve the kidneys and through ischaemia lead to impaired renal function and renovascular hypertension, as in Takayasu’s or Kawasaki disease, and polyarteritis nodosa (PAN).
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O'Hara-O'Connor, Erin. Choice of Law and Conflict of Laws. Edited by Francesco Parisi. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199684250.013.039.

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This chapter explores the contribution of law and economics to conflict of laws, including choice of law, personal jurisdiction, and judgment recognition and enforcement. Consistent with developments in the literature, the majority of discussion focuses on choice of law, or how best to allocate sovereign authority over governing law when private disputes involve people or events that span multiple states or nations. The tension between private and state interests and the contributions of jurisdictional competition are considered, as is state incentives to cooperate, harmonize, and/or reciprocate in each of the substantive areas covered. Both federalism and international relations issues are briefly discussed.
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Sjoblom, Matthew D., Diane Gordon, and Lori A. Aronson. Hypopituitarism. Edited by Erin S. Williams, Olutoyin A. Olutoye, Catherine P. Seipel, and Titilopemi A. O. Aina. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780190678333.003.0041.

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Hypopituitarism is a decreased secretion of pituitary hormones. It is especially concerning during surgery and anesthesia if it results in adrenal insufficiency, hypothyroidism, or diabetes insipidus. Common causes in children include pituitary tumor and/or treatment, traumatic brain injury, and empty sella syndrome. Perioperative management includes recognition of clinical symptoms, such as hypotension, fatigue, polydipsia, and increased urine output. Unrecognized adrenal insufficiency may result in significant morbidity or mortality. Intraoperative treatment may involve stress-dose corticosteroids, careful fluid management, and desmopressin. This chapter uses the case study of a 9-year-old boy who presents for bilateral removal of tibial orthopedic hardware to illustrate the concepts.
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Killmister, Suzy. Contours of Dignity. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198844365.001.0001.

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Contours of Dignity develops a theory geared towards explaining the complex and varied role dignity plays in our moral lives. This includes the relationship between dignity and respect; the ways in which shame and humiliation can constitute dignity violations; and the relationship between dignity and human rights. Dignity, according to this theory, comes in three strands: personal dignity, social dignity, and status dignity. Each strand involves a specific form of respect. On the one hand, personal dignity involves self-respect while social and status dignity involve the respect of others. On the other hand, personal and social dignity both involve appraisal respect, while status dignity involves recognition respect. With these distinctions in hand, Contours of Dignity then explores the moral significance of dignity, offering a novel explanation of the source and scope of individuals’ claims to have their dignity respected. The book concludes with a discussion of the relationship between dignity and human rights, arguing that we should understand human dignity as a social construct, but one that nonetheless vindicates the human rights project.
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Book chapters on the topic "Invoice recognition"

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Ha, Hien T., Marek Medved’, Zuzana Nevěřilová, and Aleš Horák. "Recognition of OCR Invoice Metadata Block Types." In Text, Speech, and Dialogue. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00794-2_33.

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Jiang, Fei, Huan Chen, and Liang-Jie Zhang. "FCN-biLSTM Based VAT Invoice Recognition and Processing." In Edge Computing – EDGE 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94340-4_11.

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Wang, Yu, Guan Gui, Nan Zhao, et al. "Deep Learning for Optical Character Recognition and Its Application to VAT Invoice Recognition." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6508-9_12.

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Chung, Yi-Nung, Ming-Sung Chiu, Chien-Chih Lin, Jhen-Yang Wang, and Chao-Hsing Hsu. "An Efficient Pattern Recognition Technology for Numerals of Lottery and Invoice." In Advances in Intelligent Systems and Computing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3308-2_28.

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Han, Cunliang, Xiaojun Zhang, Huijuan Jiao, Min Wang, and Tiantian Han. "An Invoice Recognition System for Robotic Process Automation Based on HOG." In Digital TV and Wireless Multimedia Communications. Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2266-4_11.

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Hamdi, Ahmed, Elodie Carel, Aurélie Joseph, Mickael Coustaty, and Antoine Doucet. "Information Extraction from Invoices." In Document Analysis and Recognition – ICDAR 2021. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86331-9_45.

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Thiée, Lukas-Walter. "Ablation Study of a Multimodal Gat Network on Perfect Synthetic and Real-world Data to Investigate the Influence of Language Models in Invoice Recognition." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-70642-4_13.

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Lucena, Lucas Fernandes, Telmo de Menezes e Silva Filho, Thaís Gaudencio do Rêgo, and Yuri Malheiros. "Automatic Recognition of Units of Measurement in Product Descriptions from Tax Invoices Using Neural Networks." In Lecture Notes in Computer Science. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98305-5_15.

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Jobin, Guy. "Charting Spiritual Care: Ethical Perspectives." In Charting Spiritual Care. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47070-8_12.

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Abstract The introduction of electronic health records (EHRs) into clinical practice appears to be irreversible. Where EHRs are used, chaplains have cooperated willingly with this way of reporting and sharing information with other members of the care team. They will have to, as a result, adapt their own note-taking practices to ensure effective, relevant and meaningful communication as part of the joint decision-making process. Although the specialized literature has addressed some of the “classic” ethical issues raised by EHRs, in particular those in connection with confidentiality and access, other questions, no less crucial, have received less attention and are addressed here. They include questions about the recognition of all players in the care relationship (both patients and caregivers) as subjects, and the communication of “non-generic” information about emotions, values, life history, etc. The fact that chaplains contribute to EHRs is both a sign of and a vector for recognition of their work within healthcare institutions – yet a recognition that could involve a price to pay for chaplains and patients.
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Isaakyan, Irina, and Anna Triandafyllidou. "“Enchanted with Europe”: Family Migration and European Law on Labour-Market Integration." In IMISCOE Research Series. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-67284-3_5.

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AbstractThis chapter explores the European legal platform for alleviating the main barriers in the labor market integration of dependent family migrants in the EU. Namely, the chapter looks at the work of the European Court of Justice (ECJ) in relation to cases that involve recognition of professional qualifications and establishment of residence status. The study looks at how family reunification provisions, EU citizen status and in particular provisions for EU citizens and their family members when they move to another Member State, affect indirectly the status situation of third country nationals and their labour market integration by facilitating or hampering the recognition of their skills. This chapter is based on desk research, notably literature review (including published reports from the SIRIUS research) and analysis of legislative documents (EU Directives and ECJ case-law). We specifically look at the ECJ case-law on status and recognition and at related Directives involving family migrants. We study conditions under which the ECJ makes a decision in favour of the migrant-plaintiff. The discussion of our findings shows a complex interplay between family migration, gender bias and European law.
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Conference papers on the topic "Invoice recognition"

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Zhao, Rongxin, Feng Wang, Huayong Wu, and Zijie Zhou. "Recognition of Apparent Defects in Bridge Cable Bundle Wraps Based on Deep Learning Algorithms." In IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches. International Association for Bridge and Structural Engineering (IABSE), 2025. https://doi.org/10.2749/tokyo.2025.1992.

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&lt;p&gt;Cables, as the main load-bearing components, have a profound impact on the lifespan of cable- structured bridges. With the rapid development of bridge construction in China, collapses due to cable fractures occur from time to time. Traditional methods for detecting apparent defects of cable sheaths through manual inspection are labor-intensive and involve certain safety risks, failing to meet the demands of the new era for cable defects detection. This paper employs mobile detection equipment to collect and locate high-definition images of cable sheaths, constructs an in-service bridge defect detection model based on the yolov8 deep learning network, and performs automatic classification and recognition of apparent defects on massive image data inputs, outputting bulk defect detection results. Experimental results show that this method can quickly and accurately detect various diseases in bridges, reduce false positives and missed detections, and achieve refined detection of multiple diseases in one image.&lt;/p&gt;
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Kosiba, D. A., and R. Kasturi. "Automatic invoice interpretation: invoice structure analysis." In Proceedings of 13th International Conference on Pattern Recognition. IEEE, 1996. http://dx.doi.org/10.1109/icpr.1996.547263.

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Hamza, Hatem, Yolande Belaid, Abdel Belaid, and Bidyut B. Chaudhuri. "Incremental classification of invoice documents." In 2008 19th International Conference on Pattern Recognition (ICPR). IEEE, 2008. http://dx.doi.org/10.1109/icpr.2008.4761832.

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Chen, Yanlan. "TIRec: Transformer-based Invoice Text Recognition." In CACML 2023: 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning. ACM, 2023. http://dx.doi.org/10.1145/3590003.3590034.

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Shi, Shaoqing, Chao Cui, and Yong Xiao. "An Invoice Recognition System Using Deep Learning." In 2020 International Conference on Intelligent Computing, Automation and Systems (ICICAS). IEEE, 2020. http://dx.doi.org/10.1109/icicas51530.2020.00093.

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Feng, Yanhui, Peng Jiang, Zhenyu Gu, and Yonghui Dai. "Study of recognition of electronic invoice image." In 2021 IEEE 5th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC). IEEE, 2021. http://dx.doi.org/10.1109/itnec52019.2021.9586969.

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Huang, Shizhen, HongHuang Huang, and Guowei Huang. "Invoice Code Recognition System Based on FPGA Acceleration." In 2020 International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2020. http://dx.doi.org/10.1109/cisce50729.2020.00099.

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Schulz, Frederick, Markus Ebbecke, Michael Gillmann, Benjamin Adrian, Stefan Agne, and Andreas Dengel. "Seizing the Treasure: Transferring Knowledge in Invoice Analysis." In 2009 10th International Conference on Document Analysis and Recognition. IEEE, 2009. http://dx.doi.org/10.1109/icdar.2009.47.

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Wang, Jiahao, Liping Zhu, Xin Yi, and Tong Lu. "End-to-End Recognition Algorithm for Degraded Invoice Text." In 2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2023. http://dx.doi.org/10.1109/cisp-bmei60920.2023.10373339.

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Li, Mingyue. "Smart Accounting Platform Based on Visual Invoice Recognition Algorithm." In 2022 6th International Conference on Computing Methodologies and Communication (ICCMC). IEEE, 2022. http://dx.doi.org/10.1109/iccmc53470.2022.9753996.

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Reports on the topic "Invoice recognition"

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Salonen, Hilma. Between hand-outs and stand-outs: Opportunities for policy support for just green transitions. Nordregio, 2024. http://dx.doi.org/10.6027/pb2024:1.2001-3876.

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The urgency of climate change, economic shifts, and recent energy crises has highlighted the need for the green transition, with a particular focus on Nordic rural areas playing a key role in developing renewable energy. However, there's concern that this transition might increase existing differences between urban and rural areas. Evidence suggests that people in rural regions feel they might be neglected, which could put fair green transitions and the achievement of climate goals at risk. The policy brief from the Just Green Transition in Rural Areas project emphasises the need to involve local communities in green projects to encourage a sense of ownership and fairness. It calls for early community involvement, clear communication, inclusive compensation strategies, recognition of non-monetary benefits, and using the flexibility of rural municipalities to their advantage. As Nordic rural areas face multiple changes, collaboration across different sectors is vital to ensure fairness and effectiveness in green initiatives, potentially making rural areas pioneers rather than followers in the transition.
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Nishi, Maiko, Suneetha M. Subramanian, and Philip Varghese. Sustainable Business Practices for Biodiversity: Leveraging Landscape Approaches. United Nations University Institute for the Advanced Study of Sustainability, 2024. http://dx.doi.org/10.53326/fano9491.

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Drawing from first-hand experiences managing productive landscapes and seascapes, this brief provides insights on how landscape approaches can promote biodiversity-friendly business through local stewardship, cross-level collaboration and peer learning. Landscape approaches are collaborative strategies that promote biodiversity-friendly business practices. These approaches involve diverse stakeholders, such as local communities and other actors along the value chain, working together at a landscape or seascape scale. Leveraging landscape approaches to advance sustainable business practices for biodiversity is an iterative process, involving adaptation and course correction to accommodate diverse needs and interests among stakeholders. This enhances collaboration across and beyond a value chain. These approaches also capitalize on traditional knowledge, which has been embodied through augmenting local experiences and wisdom to help integrate different knowledge systems that are complementary, creating new business opportunities for biodiversity-friendly innovation. Recommendations: (i) Bolster local stewardship to build and pursue a common vision with enhanced recognition of the livelihood and business values of biodiversity; (ii) Institutionalize a participatory approach to cross-level collaboration that incorporates review and monitoring and capacity development elements; and (iii) Promote biodiversity elements in education and peer-learning to mainstream biodiversity in business in alignment with global policy goals for sustainability.
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Waters, Donald. Meeting the Climate Emergency: University Information Infrastructure for Researching Wicked Problems. Coalition for Networked Information, 2025. https://doi.org/10.56561/lcoa2799.

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Commissioned by the Coalition for Networked Information, this report examines the role of research universities in addressing complex societal challenges. It focuses on climate change, which is best characterized as a “wicked” problem. Such problems are difficult to define and lack clear solutions in part because they involve multiple stakeholders who sometimes have sharply differing interests and perspectives. Given this complexity, understanding climate change is not just a matter for researchers in the STEM fields of science, technology, engineering, and medicine. It requires an all-hands-on-deck approach across the disciplinary spectrum, including experts from the social sciences and humanities. It also requires deep engagement of researchers with the public. With their faculties in a wide array of disciplines, their capacity for large-scale research, and their sensitivity to the public interest, research universities in the United States are especially well-positioned to address wicked problems like climate change. However, to be most effective, they need to rebalance their emphasis on the STEM fields and make other key structural reforms. This report argues that university libraries, campus computing organizations, and other information specialists must be part of such reforms. Indeed, with a strategic redeployment of their resources within the university’s research and information infrastructure, they could help catalyze these much needed changes. Any transformation in how universities approach wicked problems like climate change must include a recognition that over the last three decades campus information specialists have dramatically shifted the primary nature of their services. From traditional roles of collection building and the provision of equipment, software, and bandwidth, these experts now have a much broader set of skills, which they regularly apply to help faculty gather and use whatever physical and digital materials they need for research and learning as they need them. For wicked problem research, this report proposes that university libraries and related information resource organizations should now modify their research service strategies even further. They should focus more attention on standard, university-supported centers and institutes that conduct interdisciplinary research on climate change. They should then aim to: (a) broaden the disciplinary range, (b) deepen the public engagement, and (c) extend the analytical capabilities of those research centers and institutes. Overall, this report underscores the urgency and complexity of climate change and other wicked problems that impede human flourishing and offers concrete steps by which universities could adapt their research infrastructure to address these problems more effectively.
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Dalglish, Chris, and Sarah Tarlow, eds. Modern Scotland: Archaeology, the Modern past and the Modern present. Society of Antiquaries of Scotland, 2012. http://dx.doi.org/10.9750/scarf.09.2012.163.

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The main recommendations of the panel report can be summarised under five key headings:  HUMANITY The Panel recommends recognition that research in this field should be geared towards the development of critical understandings of self and society in the modern world. Archaeological research into the modern past should be ambitious in seeking to contribute to understanding of the major social, economic and environmental developments through which the modern world came into being. Modern-world archaeology can add significantly to knowledge of Scotland’s historical relationships with the rest of the British Isles, Europe and the wider world. Archaeology offers a new perspective on what it has meant to be a modern person and a member of modern society, inhabiting a modern world.  MATERIALITY The Panel recommends approaches to research which focus on the materiality of the recent past (i.e. the character of relationships between people and their material world). Archaeology’s contribution to understandings of the modern world lies in its ability to situate, humanise and contextualise broader historical developments. Archaeological research can provide new insights into the modern past by investigating historical trends not as abstract phenomena but as changes to real lives, affecting different localities in different ways. Archaeology can take a long-term perspective on major modern developments, researching their ‘prehistory’ (which often extends back into the Middle Ages) and their material legacy in the present. Archaeology can humanise and contextualise long-term processes and global connections by working outwards from individual life stories, developing biographies of individual artefacts and buildings and evidencing the reciprocity of people, things, places and landscapes. The modern person and modern social relationships were formed in and through material environments and, to understand modern humanity, it is crucial that we understand humanity’s material relationships in the modern world.  PERSPECTIVE The Panel recommends the development, realisation and promotion of work which takes a critical perspective on the present from a deeper understanding of the recent past. Research into the modern past provides a critical perspective on the present, uncovering the origins of our current ways of life and of relating to each other and to the world around us. It is important that this relevance is acknowledged, understood, developed and mobilised to connect past, present and future. The material approach of archaeology can enhance understanding, challenge assumptions and develop new and alternative histories. Modern Scotland: Archaeology, the Modern past and the Modern present vi Archaeology can evidence varied experience of social, environmental and economic change in the past. It can consider questions of local distinctiveness and global homogeneity in complex and nuanced ways. It can reveal the hidden histories of those whose ways of life diverged from the historical mainstream. Archaeology can challenge simplistic, essentialist understandings of the recent Scottish past, providing insights into the historical character and interaction of Scottish, British and other identities and ideologies.  COLLABORATION The Panel recommends the development of integrated and collaborative research practices. Perhaps above all other periods of the past, the modern past is a field of enquiry where there is great potential benefit in collaboration between different specialist sectors within archaeology, between different disciplines, between Scottish-based researchers and researchers elsewhere in the world and between professionals and the public. The Panel advocates the development of new ways of working involving integrated and collaborative investigation of the modern past. Extending beyond previous modes of inter-disciplinary practice, these new approaches should involve active engagement between different interests developing collaborative responses to common questions and problems.  REFLECTION The Panel recommends that a reflexive approach is taken to the archaeology of the modern past, requiring research into the nature of academic, professional and public engagements with the modern past and the development of new reflexive modes of practice. Archaeology investigates the past but it does so from its position in the present. Research should develop a greater understanding of modern-period archaeology as a scholarly pursuit and social practice in the present. Research should provide insights into the ways in which the modern past is presented and represented in particular contexts. Work is required to better evidence popular understandings of and engagements with the modern past and to understand the politics of the recent past, particularly its material aspect. Research should seek to advance knowledge and understanding of the moral and ethical viewpoints held by professionals and members of the public in relation to the archaeology of the recent past. There is a need to critically review public engagement practices in modern-world archaeology and develop new modes of public-professional collaboration and to generate practices through which archaeology can make positive interventions in the world. And there is a need to embed processes of ethical reflection and beneficial action into archaeological practice relating to the modern past.
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Good Practice in Environment, Health and Safety in Latin America and the Caribbean. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0009273.

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This Technical Note is primarily intended for use by Chinese investors and EPC firms, specifically senior management and decision makers responsible for the planning, design and delivery of the EHS strategy and safeguards when operating in LAC. It may also be used as a reference for LAC governments and companies. The Technical Note focuses primarily on mining, oil and gas (i.e. extractive), infrastructure and agriculture activities as key sectors; although there is recognition that large projects may involve associated facilities such as roads, railroads, dams or transmission lines. Regional context and regulations are focused on three countries, Brazil, Mexico, and Peru, given the growing Chinese investments in these countries and the advancements of their EHS regulations. The Technical Note is practical and generic in order to be applicable to the construction of various project types throughout LAC. Case studies for specific projects and industries can be found in Appendix A.
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