Feasibility study of genetic refinement of litter size in sheep to reduce possible fraud - A provincial study by Mehdi Derakhshan, Karim Hasanpur, Arash Javanmard, Jalil Shodja

“…ConclusionsThe combination of two molecular methods, PCR- RFLP and PCR-sequencing direct sequencing to detect FecB mutations, has shown acceptable efficiencies, and the establishment of government-affiliated genotyping centers for fraud detection can assist regulators in genotyping sheep with fertility genes and may reduce the number of frauds.…”
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MGAD: Mutual Information and Graph Embedding Based Anomaly Detection in Multivariate Time Series by Yuehua Huang, Wenfen Liu, Song Li, Ying Guo, Wen Chen

“…This challenge can be solved by anomaly detection techniques, which is an important field of research in data mining, especially in the domains of network security, credit card fraud detection, industrial fault identification, etc. …”
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Finding Partial Periodic and Rare Periodic Patterns in Temporal Databases by K. Jyothi Upadhya, Aman Paleja, M. Geetha, B. Dinesh Rao, Mini Shail Chhabra

“…Recently, a variety of industries, including fraud detection, telecommunications, retail marketing, research, and medical have found applications for rare association rule mining, which uncovers unusual or unexpected combinations. …”
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AI Empowered Big Data Analytics for Industrial Applications by V D Ambeth Kumar, Vijayakumar Varadarajan, Mukesh Kumar Gupta, Joel J. P. C Rodrigues, Neha Janu

“…The amount of data being generated and stored in various fields such as education, energy, environment, healthcare, fraud detection, and traffic is increasing exponentially in the modern era of Big Data. …”
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Rapid analysis technologies with chemometrics for food authenticity field: A review by Zixuan Zhang, Yalan Li, Shanshan Zhao, Mengjie Qie, Lu Bai, Zhiwei Gao, Kehong Liang, Yan Zhao

“…This paper summarizes the current research on rapid food authenticity analysis technology from three perspectives, including breeds or species determination, quality fraud detection, and geographical origin identification, and introduces chemometrics method adapted to rapid analysis techniques. …”
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A study of open payment fare systems : system design, fare engine algorithm and GTFS extension by Wang, Yin, Ph. D. Massachusetts Institute of Technology

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A reliable and economically feasible automatic meter reading system using power line distribution network by Moghavvemi, M., Tan, S.Y., Wong, S.K.

“…Basic functions of the AMR system include the provision for remote connection and disconnection of meter and fraud detection features at both the meter interface and the data concentrator. …”

Development of Non-Targeted Mass Spectrometry Method for Distinguishing Spelt and Wheat by Kapil Nichani, Steffen Uhlig, Bertrand Colson, Karina Hettwer, Kirsten Simon, Josephine Bönick, Carsten Uhlig, Sabine Kemmlein, Manfred Stoyke, Petra Gowik, Gerd Huschek, Harshadrai M. Rawel

“…A new non-targeted method (NTM) for distinguishing spelt and wheat is described, which aids in food fraud detection and authenticity testing. A highly resolved fingerprint in the form of spectra is obtained for several cultivars of spelt and wheat using liquid chromatography coupled high-resolution mass spectrometry (LC-HRMS). …”
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Cost Harmonization LightGBM-Based Stock Market Prediction by Xiaosong Zhao, Yong Liu, Qiangfu Zhao

“…In fact, cost-sensitive learning has been used in areas such as fraud detection and medical diagnosis. In our earlier study, we proposed a false-sensitive method called focal-loss LightBGM (FL-LightGBM) for SMP by introducing a cost-aware loss in LightGBM, which is known to be a fast and efficient gradient-boosting learning algorithm for solving large-scale problems. …”
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Apakah insentif keuangan dan persepsi keseriusan berpengaruh terhadap keputusan aparatur sipil negara melakukan whistleblowing? by Andrey Hasiholan Pulungan, Indri Afriani, Albert Hasudungan

“…This study contributes to academic literature and policymakers. It extends fraud detection literature and provides evidence to policymakers about the impact of perception of seriousness and financial incentives on public officers’ intention to report fraud. …”
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Effects of Fraud-Triangle Decomposition on Sensitivity and Quality of Auditor’s Fraud Risk Assessment Based on Iranian Auditing Standard Number # 240 by Abdollah Khani, Mohammad Sakeni

“…But one of the biases that auditors always face in the fraud detection process is a lack of enough attention to relevant evidence in the auditing process. …”
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Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study by Luisa Pumplun, Mariska Fecho, Nihal Wahl, Felix Peters, Peter Buxmann

“… BackgroundRecently, machine learning (ML) has been transforming our daily lives by enabling intelligent voice assistants, personalized support for purchase decisions, and efficient credit card fraud detection. In addition to its everyday applications, ML holds the potential to improve medicine as well, especially with regard to diagnostics in clinics. …”
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Detecting and preventing fraud in e-procurement of public sector: a review, synthesis and opportunities for future research. by Gunasegaran, Malar, Basiruddin, Rohaida, Mohd. Rizal, Adriana

“…This study shows how the results of earlier studies executing preventive measures which contain solid control methodology like fraud detection and employers’ knowledge of fraud prevention mechanisms where it actually tends to cover the research gaps which have been identified from the previous studies. …”
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An empirical investigation of fraud risk assessment and knowledge requirement on fraud related problem representation in Nigeria by Popoola, Oluwatoyin Muse Johnson, Che Ahmad, Ayoib, Samsudin, Rose Shamsiah

“…In addition, it shows the importance of FRPR as an important mental state in decision-making or judgement and also the significance of FRPR as an important mediating variable on KR and TPFRA Originality/Value: No nation is immune to fraud and loss due to fraud in the public sector is enormous and costly, the result of this research will improve the KR of auditors and forensic accountants in the areas of fraud detection, prevention and response. It will also contribute to the regulatory, legal and institutional frameworks in accounting and auditing systems in Nigeria and portend an increase in demand for forensic accountants.…”
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CHROMATOGRAPHIC AND RELATED SEPARATION TECHNIQUES IN FOOD INTEGRITY AND AUTHENTICITY : by Núñez, Oscar, Dr., editor 636006, Campmajó, Guillem, editor 636007

<i>RaKShA</i>: A Trusted Explainable LSTM Model to Classify Fraud Patterns on Credit Card Transactions by Jay Raval, Pronaya Bhattacharya, Nilesh Kumar Jadav, Sudeep Tanwar, Gulshan Sharma, Pitshou N. Bokoro, Mitwalli Elmorsy, Amr Tolba, Maria Simona Raboaca

“…We present the gas fee requirements, IPFS bandwidth, and the fraud detection contract specification in blockchain metrics. …”
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AI-RADS: Successes and challenges of a novel artificial intelligence curriculum for radiologists across different delivery formats by Alexander L. Lindqwister, Saeed Hassanpour, Joshua Levy, Joshua Levy, Jessica M. Sin

“…As most residents have little computer science training, algorithms were initially presented as a series of simple observations around a relatable problem (e.g., fraud detection, movie recommendations, etc.). These observations were later re-framed to illustrate how a machine could apply the underlying concepts to perform clinically relevant tasks in the practice of radiology. …”
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Amaretto: An Active Learning Framework for Money Laundering Detection by Danilo Labanca, Luca Primerano, Marcus Markland-Montgomery, Mario Polino, Michele Carminati, Stefano Zanero

“…Finally, we compare Amaretto against a state-of-the-art active learning fraud detection system, achieving better detection performances and lower costs in all the analyzed scenarios. …”
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Substance Use From Social Distancing and Isolation by US Nativity During the Time of COVID-19: Cross-sectional Study by Francisco Alejandro Montiel Ishino, Kevin Villalobos, Faustine Williams

“…Of the 5938 surveys returned, 5413 (91.16%) surveys were used after proprietary expert review fraud detection (Qualtrics) and detailed assessments of the completion rate and the timing to complete the survey. …”
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SPECTROSCOPY DATA CALIBRATION USING STACKED ENSEMBLE MACHINE LEARNING by Mahmud Iwan Solihin, Chan Jin Yuan, Wan Siu Hong, Liew Phing Pui, Ang Chun Kit, Wafa Hossain, Affiani Machmudah

“… Near infrared spectroscopy (NIRS) is a widely used analytical technique for non-destructive analysis of various materials including food fraud detection. However, the accurate calibration of NIRS data can be challenging due to the complexity of the underlying relationships between the spectral data and the target variables of interest. …”
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