AI Driven Fraud Detection Models in Financial Networks: A Comprehensive Systematic Review by Nusrat Jahan Sarna, Farzana Ahmed Rithen, Umme Salma Jui, Sayma Belal, Al Amin, Tasnim Kabir Oishee, A. K. M. Muzahidul Islam

“…By analyzing vast datasets, AI can uncover hidden fraud patterns and dynamically adapt to emerging threats. …”
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An analysis of spatial changes in the manufacturing industry in china’s three major urban clusters from 2015 to 2019 using POI data by Chenxi Jin, Chenjing Fan, Yiwen Gong, Xinran Huang, Shiqi Li, Runhan Liu, Chunwei Guo, Yuxin Liu

“…Here, we analyzed spatial patterns of the manufacturing industry using point-of-interest (POI) data and a machine learning classification algorithm based on the Naive Bayes classifier. …”
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Prevalence of EGFR Mutations in Vietnamese Patients with Resected Early Stage Non-Small Cell Lung Cancer: EARLY-EGFR Study by Dao TV, Dinh VL, Doan TV, Phuong TL

“…Tu Van Dao,1,2,* Van Luong Dinh,3,4,* Thanh Vinh Doan,5 Tri Le Phuong6 1Cancer Research and Clinical Trials Center, Department of Optimal Therapy, Vietnam National Cancer Hospital, Hanoi, Vietnam; 2Oncology Department, Hanoi Medical University, Hanoi, Vietnam; 3Lung Transplant Center, National Lung Hospital, Hanoi, Vietnam; 4TB and Lung Diseases Department, Hanoi Medical University, Hanoi, Vietnam; 5Oncology Department, Pham Ngoc Thach Hospital, Ho Chi Minh City, Vietnam; 6Medical Affairs, AstraZeneca Vietnam, Ho Chi Minh City, Vietnam*These authors contributed equally to this workCorrespondence: Tu Van Dao, Cancer Research and Clinical Trials Center, Department of Optimal Therapy, Vietnam National Cancer Hospital, Hanoi, Vietnam, Email daovantu@hmu.edu.vnIntroduction: Comprehensive profiling of mutations in the EGFR gene is vital for selecting patients eligible for EGFR targeted therapies.Methods: We investigated the prevalence of EGFR mutations and treatment patterns in patients with early stage non-small cell lung cancer (NSCLC) in Vietnam as a part of EARLY-EGFR (Clinical Trial Identifier: NCT04742192), a global, real-world study. …”
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Regional trending topics mining from real time Twitter data for sentiment, context, network and temporal analysis by Mousumi Hasan, Mujiba Shaima, Quazi Saad ul Mosaher

“…Unlike other social media platforms, Twitter offers researchers an open data source for multifaceted studies, motivating us to delve into regional trending topics, analyzing associated sentiments, context, networks, and temporal patterns. …”
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Quantitative Analysis of Crack Propagation Behavior in Recycled Concrete Subjected to Axial Compression Using Digital Image Correlation (DIC) Technology and Fractal Theory by Cheng-Gong Lu, Xiu-Cheng Zhang, Wei-Zhi Chen, Xue-Fei Chen

“…Utilizing the advanced 3D-DIC algorithmic technique, this study delves into the evolution of crack propagation patterns in recycled concrete during the loading process, evaluating the impact of both aggregate replacement ratios and particle sizes on crack propagation behavior. …”
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LSTM-JSO framework for privacy preserving adaptive intrusion detection in federated IoT networks by Shaymaa E. Sorour, Mohammed Aljaafari, Amany M. Shaker, Ahmed E. Amin

“…The framework dynamically optimizes hyperparameters using the Joint Strategy Optimization (JSO) algorithm, ensuring efficient model adaptation across heterogeneous IoT networks. …”
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Mitigating distribution transformer loss of life through combined integration of rooftop solar photovoltaic installations and electric vehicle charging by Sunil Gaikwad, Hrishikesh Mehta

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Economic evaluation of a novel genetic screening test for risk of venous thromboembolism compared with standard of care in women considering combined hormonal contraception in Swit... by Zanfina Ademi, C Simone Sutherland, Matthias Schwenkglenks, Nadine Schur, Joëlle Michaud, Myriam Lingg, Arjun Bhadhuri, Thierry D. Pache, Johannes Bitzer, Pierre Suchon, Valerie Albert, Kurt E. Hersberger, Goranka Tanackovic

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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

“…This research aimed to develop a methodology for training an artificial intelligence (AI) system to predict the effects of retrofitting on civil structures, using data from the KW51 bridge (Leuven). …”
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Cattle identification based on multiple feature decision layer fusion by Dongxu Li, Baoshan Li, Qi Li, Yueming Wang, Mei Yang, Mingshuo Han

“…This paper proposes a decision-level identification method based on the multi-feature fusion of cattle faces, muzzle patterns, and ear tags. The method utilizes the SOLO algorithm to segment images and employs the FaceNet and PP-OCRv4 networks to extract features for the cattle’s faces, muzzle patterns, and ear tags. …”
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A Vision-Based Method for Detecting the Position of Stacked Goods in Automated Storage and Retrieval Systems by Chuanjun Chen, Junjie Liu, Haonan Yin, Biqing Huang

“…This paper proposes a novel machine vision-based detection algorithm that integrates a pallet surface object detection network (STEGNet) with a box edge detection algorithm. …”
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N-SOFT SETS ASSOCIATION RULE AND ITS APPLICATION FOR PROMOTION STRATEGY IN DISTANCE EDUCATION by Fatia Fatimah, Selly Anastassia Amellia Kharis, Fauzan Ihza Fajar

“…Based on the results, the NSSAR algorithm gave relationship patterns between the number of new students based on region, study program, diploma of origin, and information media. …”
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Outlier Detection in VPN Authentication Logs for Corporate Computer Networks Access using CRISP-DM by Nilo Legowo, Wilyu Mahendra Bad

“…Two key attributes, namely user ID and access time, are analyzed to trace access patterns. Employing the CRISP-DM method ensures a structured and efficient research process. …”
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Integrated OVMD-BiGRU-SMAC Framework for Forecasting Construction Accidents in the Kingdom of Saudi Arabia by Badr T. Alsulami, Afaq Khattak

“…These IMFs are individually forecasted using Bidirectional Gated Recurrent Unit (BiGRU) models, which are capable of learning sequential patterns in both temporal directions. To enhance the predictive accuracy, the hyperparameters of each BiGRU model are optimized using the Sequential Model-based Algorithm Configuration (SMAC) technique. …”
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Macrostructural Analysis of the Dynamics of the Two-Sector Economy by O. S. Sukharev, E. N. Voronchikhina

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A study on the correlation between MBTI dimensions and driving behavior characteristics by Liwei Bai, Tao Wang, Jianyao Tu, Bozhezi Peng, Zhuoyu Wang

“…Second, the study employs the “inverse chi-square test” to uncover latent patterns in otherwise non-significant results. Using the K-modes clustering algorithm, this study identified significant imbalances in the distribution of MBTI personality dimensions across eight clusters, particularly in the Thinking-Feeling (T-F) dimension. …”
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Parameter estimation of submarine power cables in offshore applications using machine learning-based methods by Felipe P. de Albuquerque, Rafael Nascimento, Gabriel de Castro Biage, Rooney R.A. Coelho, Ronaldo F. Ribeiro Pereira, Eduardo C. Marques da Costa, Mario L. Pereira Filho, Cassio G. Lopes, José R. Cardoso

“…In practical conditions, the training dataset takes into account noise patterns using well-established modeling methods for phasor measurements. …”
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Assessing the Impact of Land Use Changes on Ecosystem Service Values in Coal Mining Regions Using Google Earth Engine Classification by Shi Chen, Jiwei Qin, Shuning Dong, Yixi Liu, Pingping Sun, Dongze Yao, Xiaoyan Song, Congcong Li

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The transfer of antibiotic resistance genes between evolutionarily distant bacteria by Marcos Parras-Moltó, David Lund, Stefan Ebmeyer, D. G. Joakim Larsson, Anna Johnning, Erik Kristiansson

“…By analyzing nearly 1 million resistance genes from over 400,000 bacterial genomes, the researchers uncovered hundreds of inter-phylum transfer events, exposing surprising patterns in how different classes of resistance genes spread. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
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