Ultrasound tomography enhancement by signal feature extraction with modular machine learning method. by Bartłomiej Baran, Dariusz Majerek, Piotr Szyszka, Dariusz Wójcik, Tomasz Rymarczyk

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An Oil Painters Recognition Method Based on Cluster Multiple Kernel Learning Algorithm by Zhifang Liao, Le Gao, Tian Zhou, Xiaoping Fan, Yan Zhang, Jinsong Wu

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Physical Education and Sport Essential as transversality and body integration in the Learning Process: A Systematic Review by Alimuddin, Syahida Binti Mohd Nazri, Liza Liza, Dewi Pebriyani, Arif Padli Muchlis

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A deep-learning-based consistency test approach for Earth system models on HPC systems by Yangyang Yu, Shaoqing Zhang, Haohuan Fu, Dexun Chen, Yang Gao, Xiaopei Lin, Zhao Liu, Xiaojing Lv

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Mathematical Methods in Feature Selection: A Review by Firuz Kamalov, Hana Sulieman, Ayman Alzaatreh, Maher Emarly, Hasna Chamlal, Murodbek Safaraliev

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Video Anomaly Detection Methods: a Survey by WU Peichen, YUAN Lining, GUO Fang, LIU Zhao

“…This paper systematically reviews and categorizes existing methods for video abnormal behavior detection based on supervised/unsupervised learning. …”
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Development of Adaptive Testing Method Based on Neurotechnologies by E. V. Chumakova, D. G. Korneev, M. S. Gasparian

“…However, it remains to answer the question of the need to improve the efficiency of an already implemented network, and, therefore, to conduct research on methods to improve the efficiency of networks, including finer tuning of parameters and learning algorithms, as well as architecture.A well-known and obvious drawback of using LSTMs is their exactingness in terms of equipment and resources, both during training (the training process takes a significant amount of time) and during startup, in our case, it is supplemented by increased requirements for the training sample and casts doubt on the advisability of further study of LSTM networks when solving this task.Conclusion. …”
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Intrusion detection method for IoT in heterogeneous environment by LIU Jing, MU Zelin, LAI Yingxu

“…Ultimately, experimental results derived from the network intrusion dataset BoT-IoT substantiate that, relative to existing methods, the proposed method notably curtails the time expenditure of resource-constrained clients, and improves processing speed by 20.82%, while enhancing the accuracy of intrusion detection by 0.86% in Non-IID conditions.…”
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Exploring current trends in agricultural commodities forecasting methods through text mining: Developments in statistical and artificial intelligence methods by Luana Gonçalves Guindani, Gilson Adamczuk Oliveirai, Matheus Henrique Dal Molin Ribeiro, Gabriel Villarrubia Gonzalez, José Donizetti de Lima

“…These articles were categorized based on the nature of the prediction models used, classified as (i) machine learning (ML), (ii) machine learning and artificial neural networks (ML-NN), (iii) machine learning and ensemble (ML-Ensemble), (iv) machine learning and hybrid (ML-hybrid), and (v) statistical. …”
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Comparing non-machine learning vs. machine learning methods for Ki67 scoring in gastrointestinal neuroendocrine tumors by Nazanin Mola, Hrafn Weishaupt, Valentin Krasontovitsch, Erlend Hodneland, Sabine Leh

“…Our findings highlight the enhanced accuracy of ML-based image analysis in detecting the correct tumor cells, outperforming traditional methods.…”
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A Review of Machine Learning and Deep Learning Methods for Person Detection, Tracking and Identification, and Face Recognition with Applications by Beibut Amirgaliyev, Miras Mussabek, Tomiris Rakhimzhanova, Ainur Zhumadillayeva

“…To assess the state-of-art in these domains, we reviewed more than one hundred eminent journal articles focusing on current trends and research gaps in machine learning and deep learning methods. A systematic review using the PRISMA method helped us to generalize the search for the most relevant articles in this area. …”
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Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods by Asmaa Ameen, Ibrahim Eldesouky Fattoh, Tarek Abd El-Hafeez, Kareem Ahmed

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Editorial: Methods in predictive toxicology 2023 by Sankalp Jain, Serena Manganelli, Vitalina Gryshkova, Maria Armanda Rodrigues, Aniket Magarkar

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Methods and Algorithms for Predictive Analytics of Time Series in Energy Consumption by Aleksandr Karmanov

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Research on unsupervised domain adaptive bearing fault diagnosis method by WU ShengKai, SHAO Xing, WANG CuiXiang, GAO Jun

“…Aiming at the problem that the bearing fault diagnosis algorithm based on deep learning has poor diagnosis performance when the fault samples are lack of labels in different working conditions and real environmentsly, an unsupervised domain adaptive bearing fault diagnosis method was proposed to realize the unsupervised fault diagnosis of bearings under different working conditions. …”
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Neurointerview as the latest method of marketing research by V. M. Nikonorov, D. V. Miroshnichenko, A. V. Nikiforova

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Survey of IP geolocation: theory, methods, and innovative applications by LIU Xueting, TAI Wenxin, ZHOU Fan, WANG Yong, CHEN Kai

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A Comprehensive Comparative Analysis of Deep Learning Models for Student Performance Prediction in Virtual Learning Environments: Leveraging the OULA Dataset and Advanced Resamplin... by Bayan A. Alnasyan, Mohammed Basheri, Madini O. Alassafi

Subjects: “…Deep learning…”
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Flipbook as Innovation of Digital Learning Media: Preparing Education for Facing and Facilitating 21st Century Learning by Roemintoyo Roemintoyo, Mochamad Kamil Budiarto

“… Various competencies that students need to master in an effort to strengthen competitiveness, especially in the field of human resources in the 21st century. Learning media integrated with technology is one of the important learning resources to support the learning process. …”
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Aligning teaching methods to learning outcomes at Can Tho University: Perspectives of undergraduate students by Thi Thuy Diem Huynh, Nhat Thao Kieu Nhien Nguyen, Thinh Mai Phuc, Van Nhuong Le, Anh Huy Huynh, Minh Quang Dinh

Subjects: “…Higher education, learning outcomes, student perceptions, teaching methods…”
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