Relevant bibliographies by topics / Invoice processing

Contents

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

Academic literature on the topic 'Invoice processing'

Author: Grafiati
Published: 4 June 2021
Last updated: 2 February 2022

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Journal articles on the topic "Invoice processing"

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Escobar-Vega, Luis M., Víctor H. Zaldívar-Carrillo, and Ivan Villalon-Turrubiates. "Semantic invoice processing." Journal of Intelligent & Fuzzy Systems 34, no. 5 (May 24, 2018): 2913–22. http://dx.doi.org/10.3233/jifs-169477.

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Raker, Joseph. "Automated Invoice Processing Using Vendor-Supplied Tapes." Serials Librarian 15, no. 3-4 (December 1988): 161–63. http://dx.doi.org/10.1300/j123v15n03_19.

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Anwar, Choirul. "The Analysis of Financial Invoice Automation System (IAS) Based on the Effectiveness and Efficiency in Invoice Processing at the Procurement Department: a Case Study of Company Perintis Mandiri." Winners 12, no. 1 (March 31, 2011): 47. http://dx.doi.org/10.21512/tw.v12i1.683.

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Financial invoice processing is an important part of Company Perintis Mandiri’s daily business. Today, to catch up the advance of technology development, Company Perintis Mandiri has applied a new financial automatic invoice system called IAS. The scope of this research is the effectiveness and efficiency issues arose from the conversion of financial invoice processing system, from manual to automatic, and the significant differences between them. The research method used is qualitative method, study case approach. To present an objective data analysis, the writer analyzes the internal control of the financial invoice processing systems with COSO theory as the reference, by conducting interviews to the respondents. The writer also analyzes the effectiveness and efficiency between the manual and the automatic system by using a simple numerical measurement. At the end, the result of this research is important to be recognized as an input to develop, maintain, and evaluate the current financial invoice processing system used by Company Perintis Mandiri.
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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 (July 20, 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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Baviskar, Dipali, Swati Ahirrao, and Ketan Kotecha. "Multi-Layout Unstructured Invoice Documents Dataset: A Dataset for Template-Free Invoice Processing and Its Evaluation Using AI Approaches." IEEE Access 9 (2021): 101494–512. http://dx.doi.org/10.1109/access.2021.3096739.

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Farrell, Katharine Treptow, and Janet E. Lute. "Document-Management Technology and Acquisitions Workflow: A Case Study in Invoice Processing." Information Technology and Libraries 24, no. 3 (September 1, 2005): 117. http://dx.doi.org/10.6017/ital.v24i3.3372.

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<span>Library acquisitions has moved from paper to online records for ordering and receiving, but the audit archive for invoices has remained largely paper based. Document-management technology (DMT) offers a solution to this condition. The authors survey the literature on DMT and its potential for use in the library acquisitions environment. This article considers the rationale and policy decisions that underpin the elimination of paper in favor of image files as an audit archive in library materials invoicing. A case study of the implementation of DMT to support and enhance traditional invoice processing in the acquisitions department of a large research library is included.</span>
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Harsh Arora. "Electronic Invoicing using Image Processing." International Journal for Modern Trends in Science and Technology 6, no. 12 (January 1, 2021): 520–23. http://dx.doi.org/10.46501/ijmtst061299.

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Most ecommerce companies have their receive to pay process as predominantly manual, leading to non-reliability of payments & delayed visibility for sellers and requirement of additional manpower for scaling up for buyers. With the correct image and pdf processing tools, it is possible to automate this process for more efficient and cost-effective results. The research paper focuses on automating the task of invoice processing which is predominantly done manually. The idea is to save time, effort, and costs while eliminating human errors from the process. There are several existing image and pdf processing tools of which we will discuss pdftotext, tesseract and tesseract4.
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Klinčar, Amir, and Jovana Zoroja. "Supply Chain Management Supported by E-Invoicing." International Journal of E-Services and Mobile Applications 13, no. 2 (April 2021): 43–59. http://dx.doi.org/10.4018/ijesma.2021040103.

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E-invoice refers to the usage of the internet system to provide different payment processes. The advantages of e-invoicing have been recognized by many organizations. Therefore, enterprises are trying to replace paper invoices with electronic documents. Automated business processes are the future of the modern economy, and implementation of e-invoicing into a supply chain management leads to broader automation projects (e.g., evaluated receipts, supply chain finance). In this paper, the authors explore differences between enterprises in European countries according to the usage of e-invoicing by the enterprises different by size (small, medium, and large). Data were collected from the Eurostat database regarding usage of e-invoicing by enterprises for the year 2018. Variables used in the analysis are (1) enterprises sending e-invoices suitable for automated processing, (2) enterprises sending e-invoices not suitable for automated processing, (3) enterprises sending paper invoices. First, collected data were analyzed using descriptive statistics. Second, cluster analysis was conducted to compare small, medium, and large enterprises regarding their behavior related to e-supply chain management using e-invoices.
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Oster, Jasmin, and Birgit Schenk. "Status quo of electronic invoice processing at municipalities in the federal state of Baden-Württemberg." Central and Eastern European eDem and eGov Days 338 (July 16, 2020): 287–99. http://dx.doi.org/10.24989/ocg.338.23.

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On 16 April 2014, the European Parliament and the Council of the European Union adopted the Directive on electronic invoicing for public contracts (2014/55/EU) in order to establish electronic invoicing as the predominant method by 2020. The e-invoicing directive requires all contracting authorities to be able to receive and process electronic invoices (ABI L133/1). The European legislator defines e-bill as "an invoice issued, transmitted and received in a structured electronic format that enables its automatic and electronic processing" (ABI L133/7). This raises the question of (a) the status quo of electronic invoicing in Baden-Württemberg's municipalities, (b) their implementation barriers and drivers, and (c) the status quo in Baden- Württemberg compared to all other German states. This paper answers these questions and points out interesting aspects that raise new research questions.
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Mohammadzadeh , Nasibeh, Sadegh Dorri Nogoorani, and José Luis Muñoz-Tapia . "Decentralized Factoring for Self-Sovereign Identities." Electronics 10, no. 12 (June 18, 2021): 1467. http://dx.doi.org/10.3390/electronics10121467.

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Invoice factoring is a handy tool for developing businesses that face liquidity problems. The main property that a factoring system needs to fulfill is to prevent an invoice from being factored twice. Distributed ledger technology is suitable for implementing the platform to register invoice factoring agreements and prevent double-factoring. Several works have been proposed to use this technology for invoice factoring. However, current proposals lack in one or several aspects, such as decentralization and security against corruption, protecting business and personally identifiable information (PII), providing non-repudiation for handling disputes, Know-Your-Customer (KYC) compliance, easy user on-boarding, and being cost-efficient. In this article, a factoring registration protocol is proposed for invoice factoring registration based on a public distributed ledger which adheres to the aforementioned requirements. We include a relayer in our architecture to address the entry barrier that the users have due to the need of managing cryptocurrencies for interacting with the public ledger. Moreover, we leverage the concept of Verifiable Credentials (VCs) for KYC compliance, and allow parties to implement their self-sovereign identities by using decentralized identifiers (DIDs). DIDs enable us to relay on the DIDComm protocol for asynchronous and secure off-chain communications. We analyze our protocol from several security aspects, compare it to the related work, and study a possible business use case. Our evaluations demonstrate that our proposal is secure and efficient, as well as covers requirements not addressed by existing related work.
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Dissertations / Theses on the topic "Invoice processing"

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Matsson, Erik, Gustav Dahllöf, and Julius Nilsson. "Business to Business - Electronic Invoice Processing : A report on the challenges, solutions and outcomes for companies switching from manual to electronic invoice handling." Thesis, Högskolan i Jönköping, Internationella Handelshögskolan, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-26793.

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Electronic document handling was first used in the automotive industry in the early 1970’s, the way of communicating electronic at the time was concerned with the communication way of EDI (Hsieh, 2004). In the beginning of 2000 a new way of communicating electronic documents was introduced with the emergence of VAN-operators (Hsieh, 2004). This technology of communicating electronic invoices has shown to be less complex for the businesses than the previous EDI connections. The VAN-operators enable companies regardless of size, ERP, also known as Enterprise Resource Planning, system, formats or transaction volume to send and receive electronic invoices. The subject of electronic invoice handling have become increasingly debated, mainly because of the legislations taking place all over Europe, and as well as the environmental impact by business transactions being sent by paper. The objective of this thesis is to examine the challenges, solutions and outcomes for companies switching to electronic invoice handling. The data collected for the thesis is divided into two parts. The first part consist of information retrieved by previous literature as well as internet sources. The second part concerns the case studies conducted for the thesis in respect to our research questions. For this reason Scandinavian companies have been interviewed, with different precondition as in size, industry, transaction volume and IT structure. The findings from the first and second part have been analyzed and conclusion have been made, we suggest using a VAN-operators, which have shown to be the most appropriate alternative for companies that are implementing electronic invoice handling. The result of this thesis can be used as a guideline for companies when considering a switch from manual to electronic invoice handling.
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Hedberg, Niclas. "Automated invoice processing with machine learning : Benefits, risks and technical feasibility." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-279617.

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When an organization receives invoices, accountants specify accounts and cost centers related to the purchases. This thesis investigated automated decision support with machine learning that gives suggestions to the accountant of what accounts and cost centers that can be used for invoices. The purpose was to identify benefits and risks of using machine learning automation for invoice processing and evaluate the performance of this technology. It was found that machine learning-based decision support for invoice processing is perceived to be beneficial by saving time, reducing the mental effort, create more coherent bookkeeping, detect errors, and enabling higher levels of automation. However, there are also risks related to implementing automation with machine learning. There is a high variety of how accounts and cost centers are used in different organizations and an uneven performance can be expected due to that some invoices are more complex to process than others. Machine learning experiments were conducted which indicated that the accuracy of suggesting the correct account was 73–76%. For cost centers, the accuracy was 50–62%. A method for filtering machine learning output was developed with the aim of raising the accuracy of the automated suggestions. With this method, the limited amount of suggestions that passed the filter achieved accuracy up to 100%.
När en organisation tar emot fakturor anges konton och kostnadsställen relaterade till inköpen. Detta examensarbete undersökte automatiserat beslutsstöd med maskininlärning som ger förslag på vilka konton och kostnadsställe som kan användas för fakturor. Syftet var att identifiera fördelarna och riskerna med att använda automatisering med maskininlärning för fakturahantering och utvärdera teknikens prestanda. Resultaten visade att maskininlärningsbaserat beslutsstöd för fakturabehandling uppfattas vara fördelaktigt genom att spara tid, minska mentala ansträngning, skapa mer sammanhängande bokföring, upptäcka fel, och möjliggöra högre automatiseringsnivåer. Men det finns också risker relaterade till implementering av automatisering med maskininlärning. Det är en stor variation gällande hur konton och kostnadsställen används i olika organisationer och en ojämn prestanda kan förväntas på grund av att vissa fakturor är mer komplexa att bokföra än andra. Maskininlärningsexperiment genomfördes som indikerade att korrektheten i att föreslå rätt konto var 73–76%. För kostnadsställe var korrektheten 50–62%. En metod för att filtrera maskininlärnings-förslagen utvecklades i syfte att höja korrektheten för automatiseringen. Med denna metod uppnådde den begränsade mängden förslag som passerade filtret en korrekthet upp till 100%.
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Andersson, Jakob. "Automatic Invoice Data Extraction as a Constraint Satisfaction Problem." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-411596.

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Invoice processing has traditionally been heavily dependent onmanual labor, where the task is to identify and move certaininformation from an origin to a destination. A time demandingtask with a high interest of automation to reduce time ofexecution, fault-risk and cost.With the evergrowing interest in automation and ArtificialIntelligence (AI), this thesis will explore the possibilities ofautomating the task of extracting and mapping information ofinterest by defining the problem as a Constraint OptimizationProblem (COP) using numeric relations between present information.The problem is then solved by extracting the numericalvalues in a document and utilizing it as an input space whereeach combination of numeric values are tested using a backendsolver.Several different models were defined, using different approachesand constraints on relations between possible existingfields. A solution to an invoice was considered correct if thetotal, tax, net and rounding amounts were estimated correctly.The final best achieved results were 84.30% correct and8.77% incorrect solutions on a set of 1400 various types of invoices.The achieved results show a promising alternative route toproposed solutions using e.g. machine learning or other intelligentsolutions using graphical or positional data. While only regardingthe numerical values present in each document, the proposedsolution becomes decentralized and therefor can be implementedand ran on any set of invoices without any pre-training phase.
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Bergdorf, Johan. "Machine learning and rule induction in invoice processing : Comparing machine learning methods in their ability to assign account codes in the bookkeeping process." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235931.

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Companies with more than 3 million SEK in revenue per year are by law in Sweden required to bookkeep invoices as soon as the invoice arrives after a purchase. One part in this bookkeeping process is to choose which accounts to be credited for every received invoice. This is a time-consuming process which demands to find the right account codes for every invoice depending on a number of factors. This thesis investigates how well machine learning can manage this process. Specifically, it is investigated how well machine learning methods that produce unordered rule sets can classify invoice data for prediction of account codes. These rule induction methods are compared to two other popular and well-tested machine learning methods that do not necessarily produce rules for interpretation and knowledge discovery as well as two naive classifiers for baseline comparisons. The results show that naive classifiers are strong but that the machine learning methods perform better when it comes to accuracy and F2score. The results also show that the rule induction method, FURIA, produces significantly less number of rules than MODLEM. The non-rule induction method Random forest has a tendency to perform best overall when it comes to given performance metrics.
Företag med över 3 miljoner SEK i omsättning per år är enligt lag i Sverige skyldiga att bokföra fakturor när de tas emot efter ett köp. En del i denna bokförinsprocess är att välja vilka konton som skall krediteras/debiteras för varje mottagen faktura. Detta är en tidskrävandeprocess som kräver att man använder och hittar rätt kontokod för varje faktura beroende på olika faktorer. Denna rapport undersöker hur väl maskininlärning klarar av denna process. Specifikt undersöks hur väl maskininläringsmetoder som producerar oordnade regeluppsättningar kan klassificera fakturadata för prediktering av kontokoder. Dessa jämförs mot två andra populära och vältestade maskininlärningmetoder som inte nödväntigtvis kan producera regler för tolkning och kunskapsupptäckande samt två naive metoder som grundnivå att jämföra med. Resultaten visar att naiva metoder är starka men att maskininlärningsmetoder lyckas prestera bättre när det kommer till bland annat accuracy och F2score. Resultaten visar också att regelframtagningsalgoritmen FURIA producerar signifikant andel färre regler än MODLEM. Random forest tenderar att prestera bäst överlag när det kommer till givna utvärderingsmått.
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Ahlstrand, Tobias, and Joseph Selin. "What happens with control when fundamentals change? : A study of how an ERP implementation may affect management control by causing changes among supporting roles and activities." Thesis, Internationella Handelshögskolan, Högskolan i Jönköping, IHH, Företagsekonomi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-15187.

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As the society becomes more internationalized and companies spread operations to multiple locations in different countries, there is a growing need for systems that can link information between different company departments and make it available for users at any time. Over the years, companies have used several information systems for different business activities and purposes, but due to complexity and high costs, a need for an integrated platform has emerged. A system that can connect different business functions within a company, and at the same time link systems owned by customers and suppliers through modern technology is an Enterprise Resource Planning (ERP) system. Today, management control may be regarded as an information intensive company process where managers can improve control by working with relevant and accurate information. An ERP system represents a natural bearer of that information, and because of that, it becomes interesting to analyze the effects on management control when its fundamentals (the ERP system) change. As previous publications mostly have examined organizational changes and effects of ERP implementations from a more general perspective, the authors realize a need for addressing ERP systems in relation to management control. Though prior research indicates that implementation of ERP systems have affect on management control, there is still uncertainty how it may be affected. The aim for this study is therefore to create understanding of how a major change such as an ERP implementation may affect management control by causing changes among supporting roles and activities. In order to achieve the purpose for this work, the authors have exemplified an ERP implementation through a case study of a manufacturing company implementing Electronic Invoice Processing (EIP) as a part of a larger ERP change. By using a scientific research approach characterized by an iterative process that moves between theory and empiricism, some valuable outcomes can be drawn from the analyzed case material. These outcomes become in the end target for a broad interpretation of roles, activities, and how changes among them may affect management control on a more generalized ERP level. Analyzing the case, the authors have been able to identify three distinctive roles that may be affected by an ERP implementation; the Executor, the Supervisor, and the Supporter. These three roles have been found to carry out five prime activities; Information Assembling, Information Verification, Information Registration, Information Presentation, and Information Storing. Finally, the changes and altering of focus between these roles and activities were found to potentially affect management control positively through five prime aspects; Timeliness, Accuracy, Accessibility, Richness, and Control.
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Hung, Wei-jung, and 洪偉榮. "Identification of Uniform-Invoice Numbers by Using Image Processing Techniques." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/50079862094018515540.

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碩士
國立臺灣科技大學
自動化及控制研究所
102
This main objective of this study is to identify the uniform-invoice numbers by using image processing techniques. In Taiwan, there are two kinds of uniform invoices, that is, traditional uniform invoice and electronic uniform invoice in a paper style. In this study, two types of uniform invoices will be applied. Both of the two types are composed of eight characters. In the former type, the printed numbers are used as the basis for comparison. In the later type, besides the printed numbers, the one-dimension code and two-dimension code (Quick Response Code, QR Code) are used for the convenience of the identification. In this study, for the traditional 。 uniform invoice, the numbers are caught by using the color identification. Then, the support vector machine (SVM) is applied to the classification and identification of the numbers. Moreover, for the electronic uniform invoice in a paper style, the QR Code is caught, transferred, and decoded for the identification. When there are a large number of invoices, it will be more time-consuming to identify the uniform-invoice numbers directly by human. By using the methods proposed in this study, it will be more efficient and the identification rate is also high.
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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
國立臺灣科技大學
高分子系
96
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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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
國立彰化師範大學
電機工程學系
105
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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Firmino, Bruno Manuel Paias. "Smart Monetization - Telecom Revenue Management beyond the traditional invoice." Master's thesis, 2019. http://hdl.handle.net/10362/113609.

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Nowadays, there is a fast and unpredictable technological evolution, with new systems constantly emerging on the market, with the capability of being monetized. However, these systems are not always fully and flexibly explored. Many hardware distributors are selling products without a clear view on sustainable business models for them, leaving these as an afterthought. Communications Service Providers are suddenly under pres sure to modernize and expande their business models as to regain the ground claimed by Over-the-top service providers, who make use of existing infrastructures to provide their own services, which naturally may lead to substantial revenue loss from the actual infras tructure owners. The Smart Monetization project aims to explore this paradigm, with the design and implementation of a reusable asset, making use of Big Data and Analytics tools that can ingest and process usage and billing data from customers, detecting event patterns and correlations that can be monetized, leading to improved and new service experiences and ensuring, as well, greater transparency on the process of billing and charging of these services.
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Books on the topic "Invoice processing"

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E, Thiebaud Maud, ed. Telecommunications billing systems: Implementing and upgrading for profitability. New York: McGraw-Hill, 2003.

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Electronic Bill Presentment and Payment. London: Taylor and Francis, 2003.

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Keser-Berber, Leyla. Elektronik fatura ve şirketlerin dijital mali denetimi: Elektronik defter tutma ve Maliye Bakanlığı'nın dijital denetim yetkisine ilişkin kurallar. Ankara: Yetkin Yayınları, 2006.

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Birkenshaw, Claudia. UB-04 handbook for hospital billing, with answer key: A reference and training tool for efficient operations in health care facilities. Chicago: Health Forum, Inc, 2007.

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Office, General Accounting. Medicare: Simplified processing of deceased beneficiaries' claims to be implemented : report to the chairman, Committee on Appropriations, House of Representatives. Washington, D.C: The Office, 1988.

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Abacus: Processing Petty Cash and Invoices. National Extension College Trust Ltd, 1990.

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Electronic Bill Presentment and Payment (Advanced and Emerging Communications Technologies Series). CRC, 2003.

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Eller, Peter. Elektronische Rechnungsstellung und digitale Betriebsprüfung. Schmidt, Berlin, 2003.

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Corporation, International Business Machines, ed. Order entry & invoicing edition reports handbook: IBM personal computer software. Atlanta, GA (P.O. Box 28331, Atlanta 30358-0331): International Business Machines Corp., 1985.

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Birkenshaw, Claudia. UB-04 Handbook for Hospital Billing, with Answer Key: A Reference and Training Tool for Efficient Operations in Health Care Facilities. American Hospital Association, 2007.

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Book chapters on the topic "Invoice processing"

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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, 135–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94340-4_11.

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Nicholson, Margaret. "Processing invoices." In Mastering Secretarial Procedures, 158–77. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-12285-1_8.

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Nicholson, Margaret. "Processing invoices." In Mastering Business Administration, 158–77. London: Macmillan Education UK, 1992. http://dx.doi.org/10.1007/978-1-349-14248-4_8.

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Parody, Luisa, María Teresa Gómez-López, and Rafael M. Gasca. "Extending BPMN 2.0 for Modelling the Combination of Activities That Involve Data Constraints." In Lecture Notes in Business Information Processing, 68–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33155-8_6.

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Chatzara, Viktoria. "The Interplay Between the GDPR and the IDD." In AIDA Europe Research Series on Insurance Law and Regulation, 255–92. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52738-9_11.

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AbstractThe General Data Protection Regulation (GDPR) and the Insurance Distribution Directive (IDD) have radically transformed the EU data protection and insurance distribution laws, thus constituting the two main regulatory sources of disruption for the insurance industry. The new IDD obligations require the adoption and implementation of compliance measures, which affect both the internal and the external operations of distributors, and which in numerous cases involve and even require the collection and processing of personal data in order to be effective and achieve the intended goals. As such, compliance with the IDD provisions needs to be designed in a way that respects the applicable GDPR provisions and ensures abidance by the related data protection obligations. This chapter aims to highlight some characteristic examples of areas where the IDD obligations mingle with the GDPR provisions, both in terms of the internal organization and functioning of insurers and intermediaries (Sect. 2), as well as with regard to the relations between distributors and their customers, and between distributors themselves (Sect. 3), and to pose some of the key issues that should be taken into account when attempting to tackle the interplay of these two sets of rules.
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Kadelbach, Stefan. "State Immunity, Individual Compensation for Victims of Human Rights Crimes, and Future Prospects." In Remedies against Immunity?, 143–57. Berlin, Heidelberg: Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62304-6_7.

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AbstractThis chapter first recapitulates the state of affairs as to the principle of state immunity and why exceptions from jurisdictional immunity for gross violations of human rights and humanitarian law are not recognized. It explores customary law and the global compensation treaty between Germany and Italy. Both indicate that Italy would be obligated to indemnify Germany from individual claims raised before Italian courts.In a second step, the development towards individual rights in public international law will be taken up. It appears that human beings are increasingly recognized as holders of individual claims but, apart from human rights treaty systems, lack the capacity under international law to invoke their rights before courts. Instead, they depend on their home states, which have standing but are not entitled to waive the individual rights of their citizens.In order to reconcile the seemingly antagonistic regimes of state immunity and claim settlement, prospects for a friendly solution of the present dilemma will be assessed. Against the background of cases pending before Italian courts, it will be examined whether the distinction between jurisdictional immunity and immunity from execution opens up a way out of the impasse, which the two states and private capital could pursue, and whether this solution would create a precedent for other similar constellations.Lastly, some concluding remarks will address lessons to be learnt for future conflicts. They will deal with elements of a general regime of compensation, drawing from the experience of both past reparation schemes and the experience of reconciliation in post-totalitarian societies. Such elements could be a duty to seek bona fide settlements, possible consequences of violations for domestic court proceedings, methods of assessing damages inspired by mass claim processing, the categorization of claims according to the gravity of violations, rules on evaluating evidence, procedures to give victims a say, and appropriate forms of monetary and non-pecuniary compensation including the necessary institutional framework.
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"Invoice Processing." In Accounts Payable and Sarbanes-Oxley, 31–51. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119201946.ch3.

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Raker, Joseph. "Automated Invoice Processing Using Vendor-Supplied Tapes." In Serials Information from Publisher to User, 161–64. Routledge, 2019. http://dx.doi.org/10.4324/9781003001515-20.

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"Processing and Validating Technology Invoices." In Telecommunications Expense Management, 245–54. CRC Press, 2000. http://dx.doi.org/10.1201/9781482280647-13.

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HASSELMO, MICHAEL E., and BRADLEY P. WYBLE. "DOES THE SPREAD OF ALZHEIMER'S DISEASE NEUROPATHOLOGY INVOLVE THE MECHANISMS OF CONSOLIDATION?" In Progress in Neural Processing, 43–62. WORLD SCIENTIFIC, 1996. http://dx.doi.org/10.1142/9789812819819_0002.

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Conference papers on the topic "Invoice processing"

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Fernandez, Eduardo B., and Xiaohong Yuan. "An analysis pattern for invoice processing." In the 16th Conference. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1943226.1943239.

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Hurst, Matthew, and Dave Barney. "Unconstrained invoice processing in the health insurance domain." In Electronic Imaging 2003, edited by Tapas Kanungo, Elisa H. Barney Smith, Jianying Hu, and Paul B. Kantor. SPIE, 2003. http://dx.doi.org/10.1117/12.476054.

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Alippi, C., F. Pessina, and M. Roveri. "An adaptive system for automatic invoice-documents classification." In rnational Conference on Image Processing. IEEE, 2005. http://dx.doi.org/10.1109/icip.2005.1530108.

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Aslan, Enes, Tugrul Karakaya, Ethem Unver, and Yusuf Sinan Akgul. "An optimization approach for invoice image analysis." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7130034.

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Unal, Ummu Seleme, Ethem Unver, Tugrul Karakaya, and Yusuf Sinan Akgul. "Invoice Content table analysis with feature fusion." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7130337.

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Hamza, Hatem, Yolande Belaid, and Abdel Belaid. "A Case-Based Reasoning Approach for Unknown Class Invoice Processing." In 2007 IEEE International Conference on Image Processing. IEEE, 2007. http://dx.doi.org/10.1109/icip.2007.4379838.

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Patil, Pradnya, and M. Sangeetha. "Blockchain based Double Spending Prevention for Invoice Financing." In 2021 Sixth International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET). IEEE, 2021. http://dx.doi.org/10.1109/wispnet51692.2021.9419394.

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Bayar, Salih. "Performance analysis of e-Archive invoice processing on different embedded platforms." In 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2016. http://dx.doi.org/10.1109/icaict.2016.7991722.

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Li, Ying, Muthu Muthiah, Arindam Routh, and Chitra Dorai. "Cognitive Computing in Action to Enhance Invoice Processing with Customized Language Translation." In 2017 IEEE International Conference on Cognitive Computing (ICCC). IEEE, 2017. http://dx.doi.org/10.1109/ieee.iccc.2017.25.

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Endo, Toshihiro, and Rentaro Yoshioka. "UI Interactions to Invoke Viewing Experience and Their Effects." In IVSP 2021: 2021 3rd International Conference on Image, Video and Signal Processing. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3459212.3459213.

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