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Journal articles on the topic 'Text Reuse Detection'

Author: Grafiati

Published: 7 June 2025

Last updated: 2 August 2025

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1

Haryanto, Nathaniel Clarence, Lucia Dwi Krisnawati, and Antonius Rachmat Chrismanto. "Retrieval of source documents in a text reuse system." Jurnal Teknologi dan Sistem Komputer 8, no. 2 (2020): 140–49. http://dx.doi.org/10.14710/jtsiskom.8.2.2020.140-149.

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The architecture of the text-reuse detection system consists of three main modules, i.e., source retrieval, text analysis, and knowledge-based postprocessing. Each module plays an important role in the accuracy rate of the detection outputs. Therefore, this research focuses on developing the source retrieval system in cases where the source documents have been obfuscated in different levels. Two steps of term weighting were applied to get such documents. The first was the local-word weighting, which has been applied to the test or reused documents to select query per text segments. The tf-idf

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Miller, Hadar, Tsvi Kuflik, and Moshe Lavee. "Text Alignment in the Service of Text Reuse Detection." Applied Sciences 15, no. 6 (2025): 3395. https://doi.org/10.3390/app15063395.

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This study introduces a novel approach to text alignment tailored for ancient languages, with a focus on Hebrew and Aramaic, aimed at enhancing text reuse detection. Unlike previous methods, our approach integrates multiple NLP components into a specialized comparison pipeline, which is then incorporated into the Smith–Waterman algorithm. This integration enables improved alignment accuracy, particularly for historical texts characterized by fluctuations, orthographic changes, transcription variations, and word transpositions. Our key contributions include (1) a refined distance function that

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Chekhovich, Yu V., and O. S. Belenkaya. "Methodology for the implementation and use of text reuse detection systems in secondary education." Informatics and education, no. 10 (December 24, 2021): 5–14. http://dx.doi.org/10.32517/0234-0453-2021-36-10-5-14.

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The article analyses the situation with the lack of systematic control over the originality of texts of students’ written works in secondary schools, including individual projects, provided by the Russian Federal State Educational Standards. The authors point out that compliance with the academic program’s requirements to observe the norms and rules of citation and absence of plagiarism in the texts of individual projects is not ensured in practice in any way. In particular, schools have not developed evaluation criteria and procedures for monitoring. Also, there is no access to the necessary

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Jēkabsons, Gints. "Evaluation of Fingerprint Selection Algorithms for Local Text Reuse Detection." Applied Computer Systems 25, no. 1 (2020): 11–18. http://dx.doi.org/10.2478/acss-2020-0002.

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AbstractDetection of local text reuse is central to a variety of applications, including plagiarism detection, origin detection, and information flow analysis. This paper evaluates and compares effectiveness of fingerprint selection algorithms for the source retrieval stage of local text reuse detection. In total, six algorithms are compared – Every p-th, 0 mod p, Winnowing, Hailstorm, Frequency-biased Winnowing (FBW), as well as the proposed modified version of FBW (MFBW).Most of the previously published studies in local text reuse detection are based on datasets having either artificially ge

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Noreen, Ayesha, Iqra Muneer, and Rao Muhammad Adeel Nawab. "Mono-lingual text reuse detection for the Urdu language at lexical level." Engineering Applications of Artificial Intelligence 136 (October 2024): 109003. http://dx.doi.org/10.1016/j.engappai.2024.109003.

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Muneer, Iqra, and Rao Muhammad Adeel Nawab. "Cross-lingual Text Reuse Detection Using Translation Plus Monolingual Analysis for English-Urdu Language Pair." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 2 (2022): 1–18. http://dx.doi.org/10.1145/3473331.

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Cross-Lingual Text Reuse Detection (CLTRD) has recently attracted the attention of the research community due to a large amount of digital text readily available for reuse in multiple languages through online digital repositories. In addition, efficient machine translation systems are freely and readily available to translate text from one language into another, which makes it quite easy to reuse text across languages, and consequently difficult to detect it. In the literature, the most prominent and widely used approach for CLTRD is Translation plus Monolingual Analysis (T+MA). To detect CLTR

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Muneer, Iqra, and Rao Muhammad Adeel Nawab. "Cross-Lingual Text Reuse Detection at sentence level for English–Urdu language pair." Computer Speech & Language 75 (September 2022): 101381. http://dx.doi.org/10.1016/j.csl.2022.101381.

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Safin, Kamil Fanisovich, and Yury Victorovich Chehovich. "Combined method for plagiarism detection in text documents." Proceedings of the Institute for System Programming of the RAS 34, no. 1 (2022): 151–60. http://dx.doi.org/10.15514/ispras-2022-34(1)-11.

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There are two global approaches to the problem of searching plagiarism in the text: external and intrinsic search. The first approach implies search through an external collection of documents that could have been used for text reuse. The second approach, on the contrary, does not use any external data, but analyzes the text by itself. It is proposed to combine these two approaches to speed up the search for text plagiarism. With a large flow of documents that need to be checked, the outer corpus search system processes each document and finds plagiarised blocks in each document, if there are

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BABASAHEB, WAGHMODE. "WEB AUTHENTICATION PASSWORD DETECTION OF NETWORK SECURITY ATTACK USING S-PASS." IJIERT - International Journal of Innovations in Engineering Research and Technology 4, no. 2 (2017): 42–48. https://doi.org/10.5281/zenodo.1462261.

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<strong><strong> </strong>In Today�s digital world all information and data is kept safe by passwords. The simple and convenient format of password is in the form of text. But,text passwords are not always strong enough and under different vulnerabilities they are very easily stolen and changed. When a person creates a weak password or same password is reused in many sites it may be possible that others can acquire that password. If one password is stolen,then it is possible that it can be used for all the websites. This phenomenon is known as the Domino Effect. Other possible risky attac

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Dai, Liqin, and ChunHua Chen. "Intelligent Detection Method of English Text in Natural Scenes in Video." Scientific Programming 2021 (November 23, 2021): 1–10. http://dx.doi.org/10.1155/2021/6239112.

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With the rapid development of Internet technology, breakthroughs have been made in all branches of computer vision. Especially in image detection and target tracking, deep learning techniques such as convolutional neural networks have achieved excellent results. In order to explore the applicability of machine learning technology in the field of video text recognition and extraction, a YOLOv3 network based on multiscale feature transformation and migration fusion is proposed to improve the accuracy of english text detection in natural scenes in video. Firstly, aiming at the problem of multisca

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11

Adel, Al-Janabi, Ali Al-Zubaidi Ehsan, and M. Merzah Baqer. "Detecting translation borrowings in huge text collections using various methods." Detecting translation borrowings in huge text collections using various methods 30, no. 3 (2023): 1609–16. https://doi.org/10.11591/ijeecs.v30.i3.pp1609-1616.

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The purpose of this work is to investigate the problem of detecting transportable borrowings and text reuse. The article proposes a monolingual solution to this problem: translating the suspicious material into language collections for additional monolingual analysis. One of the major requirements for the suggested technique is robustness against machine learning ambiguities. The next step in the document analysis is split into two parts. The authors begin by retrieving documents-candidates that are similarity to other types of text recurrence. The paper proposes retrieving texts utilizing wor

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12

Yankova, Diana. "On Translated Plagiarism in Academic Discourse." English Studies at NBU 6, no. 2 (2020): 189–200. http://dx.doi.org/10.33919/esnbu.20.2.1.

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Cross-language plagiarism is increasingly being accorded the interest of academics, but it is still an underresearched area. Rather than displaying linguistic similarity or identity of lexemes, phrases or grammatical structures within one language, translated plagiarism is viewed as the theft of ideas involving two languages. Two instances of translated plagiarism will be discussed - lifting a text from language A, translating it in language B to reuse it as one’s own text, and back-translation: lifting a text verbatim from language A, translating into language B and then re-translating back i

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Wójcik, Jerzy. "On Measuring Psalm Similarity: A Case for Word-Level n-Grams." Roczniki Humanistyczne 72, no. 5 Zeszyt specjalny (2024): 185–208. https://doi.org/10.18290/rh24725.9s.

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The article offers a comparison between Tesserae (a text-reuse detection tool) and cosine similarity (used here as a measure of similarity between texts) and assesses their applicability to tracking textual affinities of different versions of historical texts on the basis of Early Modern English versions of Psalm 6 found in publications printed between 1530 and 1557. It is shown that cosine similarity is a better tool for the task of identifying and measuring the level of similarity between texts. At the same time, the article argues that cosine similarity measurements should be performed on t

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Goncharova, V. A. "TEXT REUSE DETECTION IN HISTORICAL TEXTS (ON THE EXAMPLE OF THE CULTURAL CONTINUITY OF THE GREAT FRENCH REVOLUTION IN OCTOBER 1917)." Человек. Общество. Наука, no. 3 (2020): 76–80. http://dx.doi.org/10.53015/2686-8172_2020_3_76.

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Andresel, Medina, Sergiu Gordea, Srdjan Stevanetic, and Mina Schütz. "An Approach for Curating Collections of Historical Documents with the Use of Topic Detection Technologies." International Journal of Digital Curation 17, no. 1 (2022): 12. http://dx.doi.org/10.2218/ijdc.v17i1.819.

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Digital curation of materials available in large online repositories is required to enable the reuse of Cultural Heritage resources in specific activities like education or scientific research. The digitization of such valuable objects is an important task for making them accessible through digital platforms such as Europeana, therefore ensuring the success of transcription campaigns via the Transcribathon platform is highly important for this goal. Based on impact assessment results, people are more engaged in the transcription process if the content is more oriented to specific themes, such

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Opryshko, Tetiana, Tetiana Yereskova, Halyna Tymofieieva, and Anastasia Lytvynova. "THE USE OF INNOVATIVE TOOLS IN THE EDITORIAL PROCESS OF SCIENTIFIC JOURNALS OF UKRAINE." OPEN EDUCATIONAL E-ENVIRONMENT OF MODERN UNIVERSITY, no. 11 (2021): 121–29. http://dx.doi.org/10.28925/2414-0325.2021.1110.

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Rapid progress in the field of publishing scientific journals, on the one hand, facilitates all editorial processes, and on the other hand, increases the risks of losing the uniqueness of a scientific article. The growing need of scientific journals for supporting tools that would, on the one hand, protect journal editions from unscrupulous authors who resort to the practice of scientific plagiarism, and on the other hand, instill in authors a sense of responsibility for the texts they send. The purpose is to reveal the problems of using text similarity scanners - plagiarism checking services

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Shaukat, Saima, Muhammad Asad, and Asmara Akram. "Developing an Urdu Lemmatizer Using a Dictionary-Based Lookup Approach." Applied Sciences 13, no. 8 (2023): 5103. http://dx.doi.org/10.3390/app13085103.

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Lemmatization aims at returning the root form of a word. The lemmatizer is envisioned as a vital instrument that can assist in many Natural Language Processing (NLP) tasks. These tasks include Information Retrieval, Word Sense Disambiguation, Machine Translation, Text Reuse, and Plagiarism Detection. Previous studies in the literature have focused on developing lemmatizers using rule-based approaches for English and other highly-resourced languages. However, there have been no thorough efforts for the development of a lemmatizer for most South Asian languages, specifically Urdu. Urdu is a morp

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Dietrich, Georg, Jonathan Krebs, Georg Fette, et al. "Ad Hoc Information Extraction for Clinical Data Warehouses." Methods of Information in Medicine 57, S 01 (2018): e22-e29. http://dx.doi.org/10.3414/me17-02-0010.

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Summary Background: Clinical Data Warehouses (CDW) reuse Electronic health records (EHR) to make their data retrievable for research purposes or patient recruitment for clinical trials. However, much information are hidden in unstructured data like discharge letters. They can be preprocessed and converted to structured data via information extraction (IE), which is unfortunately a laborious task and therefore usually not available for most of the text data in CDW. Objectives: The goal of our work is to provide an ad hoc IE service that allows users to query text data ad hoc in a manner similar

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Sánchez-Vega, Fernando, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor-Pineda, and Paolo Rosso. "Determining and characterizing the reused text for plagiarism detection." Expert Systems with Applications 40, no. 5 (2013): 1804–13. http://dx.doi.org/10.1016/j.eswa.2012.09.021.

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20

Xu, Qiwei, Hong Huang, Chuan Zhou, and Xuefeng Zhang. "Research on Real-Time Infrared Image Fault Detection of Substation High-Voltage Lead Connectors Based on Improved YOLOv3 Network." Electronics 10, no. 5 (2021): 544. http://dx.doi.org/10.3390/electronics10050544.

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Currently, infrared fault diagnosis mainly relies on manual inspection and low detection efficiency. This paper proposes an improved YOLOv3 network for detecting the working state of substation high-voltage lead connectors. Firstly, dilated convolution is introduced into the YOLOv3 backbone network to process low-resolution element layers, so as to enhance the network’s extraction of image features, promote function propagation and reuse, and improve the network’s recognition performance of small targets. Then the fault detection model of the infrared image of the high voltage lead connector i

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21

Sousa-Silva, Rui. "Detecting translingual plagiarism and the backlash against translation plagiarists." Language and Law / Linguagem e Direito 1, no. 1 (2014): 70–94. https://doi.org/10.5281/zenodo.47258.

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Plagiarism detection methods have improved signi cantly over the last decades, and as a result of the advanced research conducted by computa- tional and mostly forensic linguists, simple and sophisticated textual borrowing strategies can now be identi ed more easily. In particular, simple text compari- son algorithms developed by computational linguists allow literal, word-for-word plagiarism (i.e. where identical strings of text are reused across di erent docu- ments) to be easily detected (semi-)automatically (e.g. Turnitin or SafeAssign), although these methods tend to perform less well whe

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Al-janabi, Adel, Ehsan Ali Al-Zubaidi, and Baqer M. Merzah. "Detecting translation borrowings in huge text collections using various methods." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 3 (2023): 1609. http://dx.doi.org/10.11591/ijeecs.v30.i3.pp1609-1616.

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The purpose of this work is to investigate the problem of detecting transportable borrowings and text reuse. The article proposes a monolingual solution to this problem: translating the suspicious material into language collections for additional monolingual analysis. One of the major requirements for the suggested technique is robustness against machine learning ambiguities. The next step in the document analysis is split into two parts. The authors begin by retrieving documents-candidates that are similarity to other types of text recurrence. The paper proposes retrieving texts utilizing wor

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Nehrdich, Sebastian. "Observations on the Intertextuality of Selected Abhidharma Texts Preserved in Chinese Translation." Religions 14, no. 7 (2023): 911. http://dx.doi.org/10.3390/rel14070911.

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Textual reuse is a fundamental characteristic of traditional Buddhist literature preserved in various languages. Given the sheer volume of preserved Buddhist literature and the often-unmarked instances of textual reuse, the thorough analysis and evaluation of this material without computational assistance are virtually impossible. This study investigates the application of computer-aided methods for detecting approximately similar passages within Xuanzang’s translation corpus and a selection of Abhidharma treatises preserved in Chinese translation. It presents visualizations of the generated n

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Jia, Zhiwei, Haoliang Zheng, Rongjie Wang, and Wenguang Zhou. "FedDAD: Solving the Islanding Problem of SAR Image Aircraft Detection Data." Remote Sensing 15, no. 14 (2023): 3620. http://dx.doi.org/10.3390/rs15143620.

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In aircraft feature detection, the difficulty of acquiring Synthetic Aperture Radar (SAR) images leads to the scarcity of some types of aircraft samples, and the high privacy makes the personal sample set have the characteristics of data silos. Existing data enhancement methods can alleviate the problem of data scarcity through feature reuse, but they are still powerless for data that are not involved in local training. To solve this problem, a new federated learning framework was proposed to solve the problem of data scarcity and data silos through multi-client joint training and model aggreg

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Oliveira, Moacir de, Maria Aparecida Dalboni, Ilson Jorge Iizuka, et al. "A new spectrophotometric method to detect residual amounts of peroxide after reprocessing hemodialysis filters." Einstein (São Paulo) 9, no. 1 (2011): 70–74. http://dx.doi.org/10.1590/s1679-45082011gs1945.

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ABSTRACT Objective: Reuse of hemodialysis filters is a standard practice and the sterilizing chemical most often employed is peracetic acid. Before starting the dialysis session, filters and lines are checked for residual levels of peracetic acid by means of a non-quantitative colorimetric test that is visually interpreted. The objective of this study was to investigate a new quantitative spectrophotometric test for detection of peracetic acid residues. Methods: Peracetic acid solutions were prepared in concentrations ranging from 0.01 to 10 ppm. A reagent (potassium-titanium oxide + sulfuric

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Lv, Hankun, Jingyi Wang, Bu Chen, and Zhangcheng Huang. "A 64 × 1 Multi-Mode Linear Single-Photon Avalanche Detector with Storage and Shift Reuse in Histogram." Electronics 14, no. 3 (2025): 509. https://doi.org/10.3390/electronics14030509.

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Single-photon avalanche detectors (SPADs) have significant applications in fields such as autonomous driving. However, processing massive amounts of background data requires substantial storage and computational resources. This paper designs a linear SPAD sensor capable of three detection modes: 2D intensity detection, 3D synchronous detection, and 3D asynchronous detection. A configurable coincidence circuit is used to effectively suppress background light. To overcome the significant resource demands for storage and computation, this paper designs a histogram circuit that simultaneously poss

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da Silveira, Ricardo Zanni Mendes, Leandro Melo Campeiro, and Fabricio Guimarães Baptista. "Performance of three transducer mounting methods in impedance-based structural health monitoring applications." Journal of Intelligent Material Systems and Structures 28, no. 17 (2017): 2349–62. http://dx.doi.org/10.1177/1045389x17689942.

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Piezoelectric transducers are widely used in many nondestructive methods for damage detection in structural health monitoring applications. Among the various methods for detecting damage, the electromechanical impedance technique is known for using thin and small piezoelectric ceramics operating simultaneously as actuators and sensors. The basic method of installing these piezoelectric ceramics in the host structure is using a high-stiffness adhesive such as epoxy or cyanoacrylate glue. However, some studies have proposed alternative methods of transducer mounting, therein aiming to reuse the

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Wang, W., P. H. A. J. M. Van Gelder, and J. K. Vrijling. "Detection of changes in streamflow series in western Europe over 1901–2000." Water Supply 5, no. 6 (2005): 289–99. http://dx.doi.org/10.2166/ws.2005.0075.

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Streamflow processes of 12 rivers in western Europe are investigated for trend and nonstationarity in the full 100-year period in the 20th century. Trend analyses with Mann–Kendall test show that there is no trend in annual mean discharges. Only three annual maximum flow series exhibit significant trends (Rhine and Moselle, upward; Rhone, downward). There are two minimum flow series exhibiting significant downward trend (Maas and Thames) and five exhibiting upward trend (Danube, Elbe, Weser, Reuss and Rhone). Monthly flow series are examined with seasonal Kendall test. A significant downward t

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Wang, Xinzhong, Weiquan Fang, and Zhongfeng Zhao. "Establishment of a Model and System for Secondary Fertilization of Nutrient Solution and Residual Liquid." Sustainability 15, no. 3 (2023): 1851. http://dx.doi.org/10.3390/su15031851.

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At present, the nutrient solution of soilless culture is mostly configured by simply using the standard fertilizer formula, lacking the precise matching technology of nutrient solutions based on nutrient elements. It is unable to change the formula configuration according to vegetable types, different growth stages and growth needs, especially in the secondary fertilizer reuse of nutrient solution reflux. In order to make precise secondary fertilization, a model and system for secondary fertilization of nutrient solution residual liquid were established in this paper. It can be used for second

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Ofori, Solomon, Leto Ylenia Di, Štěpánka Smrčková, et al. "Treated wastewater reuse for crop irrigation: a comprehensive health risk assessment." Environmental Science: Advances 4 (November 25, 2024): 252–69. https://doi.org/10.1039/d4va00274a.

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The use of treated effluent/wastewater (TWW) for crop irrigation is gaining prominence globally due to growing freshwater scarcity. However, there are still questions about the safety of such a practice. This study sought to investigate and evaluate the health risks associated with the use of TWW for crop irrigation by assessing the potential risks arising from pathogens, heavy metals/potentially toxic elements (PTEs), micropollutants or pharmaceuticals and antibiotic resistance genes (ARGs), using tomato, carrot and cabbage as test crops. The levels of copper bioaccumulated in TWW irrigated c

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Nieves-Avendano, Diego, Dirk Deschrijver, and Sofie Van Hoecke. "Transfer Learning for Anomaly Detection Using Bearings' Vibration Signals." International Journal of Acoustics and Vibration 28, no. 4 (2023): 420–34. http://dx.doi.org/10.20855/ijav.2023.28.41993.

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Predictive maintenance is becoming increasingly important in the industry. Despite considerable advances in data collection and data-driven models, there are still limitations when deploying models in practice. One of the main limitations is the large datasets required to train these models. As a potential solution, transfer learning can be used to reuse knowledge acquired from large datasets for similar tasks under different conditions. This paper investigates the transferability of the specific anomaly detection scenario, an unsupervised learning task with heavily imbalanced label distributi

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Liu, Qijian, Yuan Chai, and Xinlin Qing. "Reusable piezoelectric transducer for structural health monitoring using both Lamb wave and electromechanical impedance modes." Journal of Intelligent Material Systems and Structures 31, no. 16 (2020): 1898–909. http://dx.doi.org/10.1177/1045389x20942843.

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A variety of structural health monitoring techniques have been developed to support the efficient online monitoring of structural integrity. Moreover, Lamb wave and electromechanical impedance methods are increasingly used for structural health monitoring applications due to their high sensitivity and effectiveness in detecting damage. However, these techniques require transducers to be permanently attached to structures because of the usage of baselines recorded under the condition without damage. In this study, a reusable piezoelectric lead zirconate titanate transducer for monitoring corros

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Maspupah, Asri, Mumuh Kustino Muharram, and Sophia Gianina Daeli. "Analisis Efektifitas Algoritma FAST Menggunakan Metrik Average Percentage Fault Detection dan Waktu Eksekusi Pada Test Case Prioritization." Journal of Information System Research (JOSH) 4, no. 2 (2023): 451–57. http://dx.doi.org/10.47065/josh.v4i2.2822.

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It uses regression testing to validate the modification results so as not to cause new errors in features that are already functioning correctly. The implementation of regression testing is generally done by re-executing the test suite used in the previous test. One of the crucial issues in regression testing is determining a strategic approach to reuse existing test suites. Testing with retesting all test cases will result in a long and expensive test. Thus, it is necessary to use a test case selection approach. The research study focuses on analyzing the effectiveness of the FAST algorithm,

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Kwon, Jihoon, and Nojun Kwak. "Radar Application: Stacking Multiple Classifiers for Human Walking Detection Using Micro-Doppler Signals." Applied Sciences 9, no. 17 (2019): 3534. http://dx.doi.org/10.3390/app9173534.

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We propose a stacking method for ensemble learning to distinguish micro-Doppler signals generated by human walking from background noises using radar sensors. We collected micro-Doppler signals caused by four types of background noise (line of sight (LoS), fan, snow and rain) and additionally considered micro-Doppler signals caused by human walking combined with these four types of background noise. We firstly verified the effectiveness of a fully connected deep neural network (DNN) to classify 8 types of signals. The average accuracy was 88.79% for the test set. Then, we propose a stacking me

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Li, Zhang, and Wu. "Efficient Object Detection Framework and Hardware Architecture for Remote Sensing Images." Remote Sensing 11, no. 20 (2019): 2376. http://dx.doi.org/10.3390/rs11202376.

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Object detection in remote sensing images on a satellite or aircraft has important economic and military significance and is full of challenges. This task requires not only accurate and efficient algorithms, but also highperformance and low power hardware architecture. However, existing deep learning based object detection algorithms require further optimization in small objects detection, reduced computational complexity and parameter size. Meanwhile, the generalpurpose processor cannot achieve better power efficiency, and the previous design of deep learning processor has still potential for

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Li, Qiongqiong, Yiqi Xu, Shengqiang Bu, and Jiafu Yang. "Smart Vehicle Path Planning Based on Modified PRM Algorithm." Sensors 22, no. 17 (2022): 6581. http://dx.doi.org/10.3390/s22176581.

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Path planning is a very important step for mobile smart vehicles in complex environments. Sampling based planners such as the Probabilistic Roadmap Method (PRM) have been widely used for smart vehicle applications. However, there exist some shortcomings, such as low efficiency, low reuse rate of the roadmap, and a lack of guidance in the selection of sampling points. To solve the above problems, we designed a pseudo-random sampling strategy with the main spatial axis as the reference axis. We optimized the generation of sampling points, removed redundant sampling points, set the distance thres

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Li, Jiqing, Jing Huang, Lei Zheng, and Wei Zheng. "Study on a mother wavelet optimization framework based on change-point detection of hydrological time series." Hydrology and Earth System Sciences 27, no. 12 (2023): 2325–39. http://dx.doi.org/10.5194/hess-27-2325-2023.

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Abstract. Hydrological time series (HTS) are the key basis of water conservancy project planning and construction. However, under the influence of climate change, human activities and other factors, the consistency of HTS has been destroyed and cannot meet the requirements of mathematical statistics. Series division and wavelet transform are effective methods to reuse and analyse HTS. However, they are limited by the change-point detection and mother wavelet (MWT) selection and are difficult to apply and promote in practice. To address these issues, we constructed a potential change-point set

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Acaye, Geoffrey Larry, Luca Ansaloni, and Egidio Tocalli. "Evaluation of Performance of Reused HIVCHEK 1 + 2 Test Blocks which have Shown Negative Result: A Reliable Method for Rural Hospital?" Tropical Doctor 25, no. 2 (1995): 54–55. http://dx.doi.org/10.1177/004947559502500203.

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The performance of the reusing of test membranes which have been used previously for negative tests for the detection of antibody to HIV (HIVCHEK 1 +2 of Ortho Diagnostic Systems, Paris, France) was evaluated under field conditions. The sensitivity and specificity of the reusing strategy compared with a HIV determination obtained by using new HIVCHECK 1+2 tests were 89.1% and 100%, respectively. The positive predictive value was 100% and the negative predictive value was 91.5%. The authors conclude that the reduction in sensitivity of the reusing strategy in comparison with the use of new test

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Wilhelm, Nadja, Nadja Perle, Robert Simmoteit, Christian Schlensak, Hans P. Wendel, and Meltem Avci-Adali. "Use of Synthetic Single-Stranded Oligonucleotides as Artificial Test Soiling for Validation of Surgical Instrument Cleaning Processes." BioMed Research International 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/632127.

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Surgical instruments are often strongly contaminated with patients’ blood and tissues, possibly containing pathogens. The reuse of contaminated instruments without adequate cleaning and sterilization can cause postoperative inflammation and the transmission of infectious diseases from one patient to another. Thus, based on the stringent sterility requirements, the development of highly efficient, validated cleaning processes is necessary. Here, we use for the first time synthetic single-stranded DNA (ssDNA_ODN), which does not appear in nature, as a test soiling to evaluate the cleaning effici

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Sherchan, Samendra, Syreeta Miles, Luisa Ikner, Hye-Weon Yu, Shane Snyder, and Ian Pepper. "Near Real-Time Detection of E. coli in Reclaimed Water." Sensors 18, no. 7 (2018): 2303. http://dx.doi.org/10.3390/s18072303.

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Advanced treatment of reclaimed water prior to potable reuse normally results in the inactivation of bacterial populations, however, incremental treatment failure can result in bacteria, including pathogens, remaining viable. Therefore, potential microorganisms need to be detected in real-time to preclude potential adverse human health effects. Real-time detection of microbes presents unique problems which are dependent on the water quality of the test water, including parameters such as particulate content and turbidity, and natural organic matter content. In addition, microbes are unusual in

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Yongyod, Rapeepan, and Anusak Kerdsin. "Modified Test Kit for Detecting Polar Compounds and Evaluating Their Distribution in Reused Frying Oil." Foods 14, no. 9 (2025): 1572. https://doi.org/10.3390/foods14091572.

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Polar compounds in repeatedly used frying oil pose significant health risks to consumers. This study aimed to develop an improved test kit for detecting polar compounds in used frying oils and to compare the distribution of polar compounds across different types of cooking oils. The modified test kit was evaluated using six types of oils, which were heated and tested against a standard method with 100 samples. The modified test kit demonstrated an accuracy of 92.00%, sensitivity of 88.09%, specificity of 94.82%, positive predictive value of 92.50%, and negative predictive value of 91.66%. The

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Zambrano, Gerardo, Flavia Nastri, Vincenzo Pavone, Angela Lombardi, and Marco Chino. "Use of an Artificial Miniaturized Enzyme in Hydrogen Peroxide Detection by Chemiluminescence." Sensors 20, no. 13 (2020): 3793. http://dx.doi.org/10.3390/s20133793.

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Advanced oxidation processes represent a viable alternative in water reclamation for potable reuse. Sensing methods of hydrogen peroxide are, therefore, needed to test both process progress and final quality of the produced water. Several bio-based assays have been developed so far, mainly relying on peroxidase enzymes, which have the advantage of being fast, efficient, reusable, and environmentally safe. However, their production/purification and, most of all, batch-to-batch consistency may inherently prevent their standardization. Here, we provide evidence that a synthetic de novo miniaturiz

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Kim, Hodam, Laehyun Kim, and Chang-Hwan Im. "Machine-Learning-Based Detection of Craving for Gaming Using Multimodal Physiological Signals: Validation of Test-Retest Reliability for Practical Use." Sensors 19, no. 16 (2019): 3475. http://dx.doi.org/10.3390/s19163475.

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Internet gaming disorder in adolescents and young adults has become an increasing public concern because of its high prevalence rate and potential risk of alteration of brain functions and organizations. Cue exposure therapy is designed for reducing or maintaining craving, a core factor of relapse of addiction, and is extensively employed in addiction treatment. In a previous study, we proposed a machine-learning-based method to detect craving for gaming using multimodal physiological signals including photoplethysmogram, galvanic skin response, and electrooculogram. Our previous study demonst

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Li, Guang, and Zhiqiang Chang. "Research on Visibility Estimation Model Based on DenseNet." International Journal of Advanced Network, Monitoring and Controls 8, no. 1 (2023): 10–17. http://dx.doi.org/10.2478/ijanmc-2023-0042.

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Abstract In recent years, the road visibility detection method based on video has been paid more and more attention. It has overcome the deficiency of laser visibility meter to some extent. Deep learning has a good effect in image processing and analysis. This paper firstly analyzes the current situation of deep learning, and then compares DenseNet and ResNet to propose a visibility estimation model based on deep DenseNet. The model firstly integrates airport video data and visibility data. Secondly, the DenseNet algorithm is used to automatically extract the features of the airport data set.

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Giri, Santosh. "Image based flower species classification using CNN." Journal of Innovations in Engineering Education 2, no. 1 (2019): 182–86. http://dx.doi.org/10.3126/jiee.v2i1.36670.

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Deep learning is one of the essential parts of machine learning. Applications such as image classification, text recognition, object detection etc. used deep learning architectures. In this paper neural network model was designed for image classification. A NN classifier with one fully connected layer and one softmax layer was designed and feature extraction part of inception v3 model was reused to calculate the feature value of each images. And by using these feature values the NN classifier was trained. By adopting transfer learning mechanism NN classifier was trained with 17 classes of oxfo

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Lai, Jiajun, Yun Liang, Yingjie Kuang, et al. "IO-YOLOv5: Improved Pig Detection under Various Illuminations and Heavy Occlusion." Agriculture 13, no. 7 (2023): 1349. http://dx.doi.org/10.3390/agriculture13071349.

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Accurate detection and counting of live pigs are integral to scientific breeding and production in intelligent agriculture. However, existing pig counting methods are challenged by heavy occlusion and varying illumination conditions. To overcome these challenges, we proposed IO-YOLOv5 (Illumination-Occlusion YOLOv5), an improved network that expands on the YOLOv5 framework with three key contributions. Firstly, we introduced the Simple Attention Receptive Field Block (SARFB) module to expand the receptive field and give greater weight to important features at different levels. The Ghost Spatia

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Khatoon, Aisha, Samia Husain, Sonia Husain, and Saba Hussain. "Frequency of pregnant women who accept HIV screening using rapid detection test and factors associated with acceptance." International Journal of STD & AIDS 32, no. 5 (2021): 470–75. http://dx.doi.org/10.1177/0956462420976262.

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To assess the frequency of pregnant women who accept HIV screening using rapid detection test and factors associated with acceptance we undertook a cross-sectional study conducted from July to December 2018. Women aged 20–45 years, who were pregnant and planned to deliver at the facility, were included. Women were counseled and offered about Human Immunodeficiency virus (HIV) screening. A total of 718 women were included in the study. The screening was accepted by 32.3% of women. Six women tested positive in the study giving a seroprevalence of 0.8% in the population studied. Acceptance of cou

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Si, Wenshuai, Shouying Wang, Bing Bai, et al. "Zeolite H-Beta as a Dispersive Solid-Phase Extraction Sorbent for the Determination of Eight Neonicotinoid Insecticides Using Ultra-High-Performance Liquid Chromatography—Tandem Mass Spectrometry." Applied Sciences 12, no. 9 (2022): 4316. http://dx.doi.org/10.3390/app12094316.

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In this study, a dispersive solid-phase extraction (DSPE) pretreatment procedure using zeolite H-Beta as a sorbent was exploited for the determination of eight neonicotinoids in bottled water and honey products based on ultra-high-performance liquid chromatography–tandem mass spectrometry analysis. The zeolite H-Beta was demonstrated to be a suitable sorbent for neonicotinoid insecticides, even after 10 recycles of reuse. The method performance was evaluated by the linearity (R2 ≥ 0.998), recovery (71–108%), precision (0.1–7.8%), limit of detection (0.05–0.1 ng/mL) and limit of quantification

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Si, Wenshuai, Shouying Wang, Bing Bai, et al. "Zeolite H-Beta as a Dispersive Solid-Phase Extraction Sorbent for the Determination of Eight Neonicotinoid Insecticides Using Ultra-High-Performance Liquid Chromatography—Tandem Mass Spectrometry." Applied Sciences 12, no. 9 (2022): 4316. http://dx.doi.org/10.3390/app12094316.

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In this study, a dispersive solid-phase extraction (DSPE) pretreatment procedure using zeolite H-Beta as a sorbent was exploited for the determination of eight neonicotinoids in bottled water and honey products based on ultra-high-performance liquid chromatography–tandem mass spectrometry analysis. The zeolite H-Beta was demonstrated to be a suitable sorbent for neonicotinoid insecticides, even after 10 recycles of reuse. The method performance was evaluated by the linearity (R2 ≥ 0.998), recovery (71–108%), precision (0.1–7.8%), limit of detection (0.05–0.1 ng/mL) and limit of quantification

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Bickel, Sebastian, Stefan Goetz, and Sandro Wartzack. "Symbol Detection in Mechanical Engineering Sketches: Experimental Study on Principle Sketches with Synthetic Data Generation and Deep Learning." Applied Sciences 14, no. 14 (2024): 6106. http://dx.doi.org/10.3390/app14146106.

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Digital transformation is omnipresent in our daily lives and its impact is noticeable through new technologies, like smart devices, AI-Chatbots or the changing work environment. This digitalization also takes place in product development, with the integration of many technologies, such as Industry 4.0, digital twins or data-driven methods, to improve the quality of new products and to save time and costs during the development process. Therefore, the use of data-driven methods reusing existing data has great potential. However, data from product design are very diverse and strongly depend on t

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