Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…This study aims to identify the best deep learning and machine learning models to identify the unethical behavior patterns of learners using distance education exam data of an educational institution. …”
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Design and Simulation of a Semi–Automatic Paver Block Making Machine. by Wamani, Samuel

“…The pedestrian streets and squares look more attractive when pavers of various patterns and hues are used. The goal of this project is to develop and build an automatic paver block production machine that can effectively and economically create high-quality paver blocks. …”
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Practical Recommendations for Artificial Intelligence and Machine Learning in Antimicrobial Stewardship for Africa by Tafadzwa Dzinamarira, Elliot Mbunge, Claire Steiner, Enos Moyo, Adewale Akinjeji, Kaunda Yamba, Loveday Mwila, Claude Mambo Muvunyi

“…In this paper, we explore artificial intelligence (AI) and machine learning (ML) potential in transforming the potential for antimicrobial stewardship (AMS) to improve precision, efficiency, and effectiveness of antibiotic use. …”
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Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms by Cihan Çakmakçı

“…There were no differences between the means of actual and predicted LWs by machine learning models. The fact that the models generalized well on the testing data sets indicates that machine learning algorithms have valid predictive patterns and are effective methods in LW weight of Norduz sheep. …”
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Compositional and Machine Learning Tools to Model Plant Nutrition: Overview and Perspectives by Léon Etienne Parent

“…The objective of this paper is to review machine learning (ML) and compositional data analysis (CoDa) tools to make nutrient management feature specific. …”
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Understanding EMS response times: a machine learning-based analysis by Peter Hill, Jakob Lederman, Daniel Jonsson, Peter Bolin, Veronica Vicente

“…This study explores the multifaceted determinants of EMS response times, leveraging machine learning (ML) techniques to identify key factors such as urgency levels, environmental conditions, and geographic variables. …”
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Design and Performance Testing of Seed Potato Cutting Machine with Posture Adjustment by Yingsi Wu, Xiangming La, Xuan Zhao, Fei Liu, Jianguo Yan

“…To address these issues, a seed potato cutting machine capable of posture adjustment, cutting, and spraying was designed. …”
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Enhancing Electricity Consumption Forecasting in The Republic of Kazakhstan Using Machine Learning by Vladimir Madin, Olga Salykova, Irina Ivanova, Olga Bizhanova, Dinara Aldasheva

“…The results indicate that while traditional statistical models effectively capture seasonal patterns, machine learning-based approaches, particularly LSTM, demonstrate superior performance in identifying complex nonlinear trends. …”
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Application of machine learning in acute upper gastrointestinal bleeding: bibliometric analysis by Qun Li, Guolin Chen, Qiongjie Li, Dongna Guo

“…BackgroundIn the past decade, the application of machine learning (ML) in the clinical management of acute upper gastrointestinal bleeding (AUGIB) has received much attention and has become a hot research topic. …”
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A machine learning model for early detection of sexually transmitted infections by Juma Shija, Judith Leo, Elizabeth Mkoba

“…Also, it can provide insights into infection patterns, allowing practitioners to adapt their responses. …”
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EMG-based body–machine interface for targeted trunk muscle activation by Carolina Correia, Andrea Bandini, Silvestro Micera, Sara Moccia

“…This work introduces a BoMI that combines trunk electromyography (EMG) and motion data to selectively modulate trunk muscle activity during motor control tasks. The system utilizes machine learning to generate personalized trunk motion trajectories based on predefined EMG profiles. …”
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Machine learning-based predictive modelling of mental health in Rwandan Youth by Fauste Ndikumana, Josias Izabayo, Joseph Kalisa, Mathieu Nemerimana, Emmanuel Christian Nyabyenda, Sylivain Hirwa Muzungu, Isaac Komezusenge, Melissa Uwase, Similien Ndagijimana, Celestin Twizere, Vincent Sezibera

“…Abstract Globally, mental disorders are a significant burden, particularly in low- and middle-income countries, with high prevalence in Rwanda, especially among survivors of the 1994 genocide against Tutsi. Machine learning offers promise in predicting mental health outcomes by identifying patterns missed by traditional methods. …”
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Detection of Banana Diseases Based on Landsat-8 Data and Machine Learning by Renata Retkute, Kathleen S. Crew, John E. Thomas, Christopher A. Gilligan

“…For TR4 in Mozambique, the approach successfully tracked disease progression, revealing clear spatial spread patterns and correlations as high as 0.98 between VI anomalies and disease cases in some pixels. …”
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Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

“…Pertinent findings and patterns in AI/ML methods utilization, as well as their applications, were quantitatively summarized and described using frequencies, averages and proportions. …”
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Examining the evolution and impact of OTC vending machines in Global Healthcare Systems by Ammar Abdulrahman Jairoun, Sabaa Saleh Al-Hemyari, Moyad Shahwan, Sahab Alkhoujah, Faris El-Dahiyat, Ammar Ali Saleh Jaber, Sa'ed H. Zyoud

“…Data analysis included bibliometric indicators such as publication counts, citation trends, and co-authorship networks, which were visualized using VOSviewer software (version 1.6.20) to highlight key research themes and collaboration patterns. Results: A total of 399 publications on OTC vending machines were found between 1833 and 2024. …”
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Interpretable deep learning to uncover the molecular binding patterns determining TCR–epitope interaction predictions by Ceder Dens, Wout Bittremieux, Fabio Affaticati, Kris Laukens, Pieter Meysman

“…Prediction of the binding of any TCR–epitope pair is still a challenging task, especially for novel epitopes, because the underlying patterns are largely unknown to domain experts and machine learning models. …”
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Enhanced AlexNet with Gabor and Local Binary Pattern Features for Improved Facial Emotion Recognition by Furkat Safarov, Alpamis Kutlimuratov, Ugiloy Khojamuratova, Akmalbek Abdusalomov, Young-Im Cho

“…Facial emotion recognition (FER) is vital for improving human–machine interactions, serving as the foundation for AI systems that integrate cognitive and emotional intelligence. …”
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Identification of hub genes for the diagnosis associated with heart failure using multiple cell death patterns by Hua‐jing Yuan, Hui Yu, Yi‐ding Yu, Xiu‐juan Liu, Wen‐wen Liu, Yi‐tao Xue, Yan Li

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Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals by Yun Lu, Mingjiang Wang, Wanqing Wu, Qiquan Zhang, Yufei Han, Tasleem Kausar, Shixiong Chen, Ming Liu, Bo Wang

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Detection and Pattern Recognition of Chemical Warfare Agents by MOS-Based MEMS Gas Sensor Array by Mengxue Xu, Xiaochun Hu, Hongpeng Zhang, Ting Miao, Lan Ma, Jing Liang, Yuefeng Zhu, Haiyan Zhu, Zhenxing Cheng, Xuhui Sun

“…Finally, principal component analysis (PCA) and machine learning algorithms were applied for CWA classification. …”
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