Enhancing action recognition in educational settings using AI-driven information systems for public health monitoring by Changchun Lu, Han Ruijuan

“…These limitations hinder their effectiveness, particularly in detecting health-related behaviors such as sedentary patterns, social interactions, and hygiene compliance.MethodsTo overcome these shortcomings, this research introduces an AI-driven information system that leverages advanced deep learning models and an Adaptive Knowledge Embedding Network (AKEN) to improve action recognition accuracy. …”
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Understanding Precipitation Moisture Sources and Their Dominant Factors During Droughts in the Vietnamese Mekong Delta by Keke Zhou, Xiaogang Shi

“…Using the ERA5 reanalysis data as inputs, the Water Accounting Model‐2layers (WAM‐2layers), a moisture tracking tool, was applied to identify the VMD precipitation moisture sources from 1980 to 2020. …”
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A new temporal locality-based workload prediction approach for SaaS services in a cloud environment by Wiem Matoussi, Tarek Hamrouni

“…In this regard, we have chosen to control the computation time by dynamizing the size of the sliding window associated to the recent history to be analyzed, since the larger the size of the entry in the prediction model, the more the algorithmic complexity increases. …”
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Mechanisms for Implementing the Potential of High-Tech Startups in the Field of Information and Communication Technologies by Lupak Ruslan L., Nakonechna Nataliya V.

“…The article highlights importance of forming the latest model of business process management (institutional and organizational mechanism), provision of financing, efficient management of cash flows and attraction of investment capital (financial and investment mechanism), integration of advanced technologies and innovative solutions and products (innovation and technological mechanism), improvement of human resources management, focused on attracting, development and efficient use of intellectual potential and staffing (intellectual and personnel mechanism) in the process of implementing the potential of high-tech startups. …”
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Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS. by Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonathan Beich, Jyotishman Pathak, Amit Sheth

“…The proposed approach can be integrated with clinical diagnostic interviews for improving suicide risk assessments.…”
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Multi-Source Heterogeneous Data-Driven Digital Delivery System for Oil and Gas Surface Engineering by Wei Zhang, Zhixiang Dai, Taiwu Xia, Gangping Chen, Yihua Zhang, Jun Zhou, Cui Liu

“…Validated through practical engineering cases, the platform enables real-time linkage of equipment parameters, documentation, and three-dimensional models, significantly improving data integration efficiency and decision-making capabilities. …”
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Gravity Predictions in Data-Missing Areas Using Machine Learning Methods by Yubin Liu, Yi Zhang, Qipei Pang, Sulan Liu, Shaobo Li, Xuguo Shi, Shaofeng Bian, Yunlong Wu

“…In this study, utilizing the EGM2008 satellite gravity model, we conducted a comprehensive analysis of three machine learning algorithms—random forest, support vector machine, and recurrent neural network—and compared their performances against the traditional Kriging interpolation method. …”
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Emotion Detection and Student Engagement in Distance Learning During Containment Due to the COVID-19 by Benyoussef Abdellaoui, Ahmed Remaida, Zineb Sabri, Younes EL BOUZEKRI EL IDRISSI, Aniss Moumen

“…A private dataset has been created to train and evaluate the model. The results show that it is possible to measure participation, learn about feelings, and use them to make decisions in favor of student outcomes and improve teaching and learning methods. …”
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Enhanced leukemia prediction using hybrid ant colony and ant lion optimization for gene selection and classification by Santhakumar D, Gnanajeyaraman Rajaram, Elankavi R, Viswanath J, Govindharaj I, Raja J

“…These algorithms are based on natural processes: ACO mimics the foraging behavior of ants, while ALO models the hunting strategy of ant-lion larvae. …”
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Cause of death in people living with HIV who initiated antiretroviral therapy after enrolling to the Thai National AIDS Program from 2008 to 2021Research in context by Cheewanan Lertpiriyasuwat, Stephen J. Kerr, Sairat Noknoy, Patiphak Namahoot, Niramon Punsuwan, Tanakorn Apornpong, Jiratchaya Sophonphan, Napon Hiranburana, Ploenchan Chetchotisakd, Opass Putcharoen, Kiat Ruxrungtham, Anchalee Avihingsanon

“…Competing risk models examined associations between demographic and clinical characteristics and COD. …”
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Mutual information-based radiomic feature selection with SHAP explainability for breast cancer diagnosis by Oladosu Oyebisi Oladimeji, Hamail Ayaz, Ian McLoughlin, Saritha Unnikrishnan

“…Selected features were assessed using machine learning algorithms, with Random Forest achieving 92% accuracy in lesion classification. …”
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Adaptation of mathematical educational content in e-learning resources by Yuliya V. Vainshtein, Victoria A. Shershneva, Roman V. Esin, Tatyana V. Zykova

“…For each student it was formed a personal space of mathematical educational content that “adapts” to its level of mastering the material, which contributed to improving the quality of the educational process in mathematical disciplines.In this paper, the methods of mathematical modeling and logicalgnosiological analysis, the theory of graphs and hypergraphs, system analysis, dynamic processes and systems control theory, complex systems design and imitation modelling methods were used.Approbation of the proposed algorithms for the educational content organization of adaptation in the adaptive electronic learning resource for the discipline “Discrete mathematics” showed the productivity of the proposed approach in the teaching process. …”
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Stochastic Parameter Identification Method for Driving Trajectory Simulation Processes Based on Mobile Edge Computing and Self-Organizing Feature Mapping by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Jinchao Xiao, Honggang Wang, Shengpei Zhou, Xiaosong Liu, Ming Li

“…Two scenarios were modeled and tested: lane change with no vehicles in the target lane and lane change with vehicles in the target lane. …”
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Hybrid Tunnel Entrance Detection via Multiple Morphological Component-Based Texture Enhancement by Heng Huang, Jia Chen, Tao Chen, Jun Li, Antonio Plaza

“…Finally, a voting strategy is employed for postprocessing, aimed at improving the efficacy of tunnel entrance detection. …”
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RETRACTED: Energy Efficient Digital Omnichannel Marketing Based on a Multidimensional Approach to Network Interaction by Sergey Evgenievich Barykin, Sergey Mikhailovich Sergeev, Vyacheslav Vasilyevich Provotorov, Kristina Konstantinovna Lavskaya, Andrey Viktorovich Kharlamov, Tatiana Lvovna Kharlamova

“…In this study, authors have developed omnichannel interaction algorithms based on mathematical models. The proposed approach supplements the digital twin model with economic indicators and methods. …”
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Digitalization of an Industrial Process for Bearing Production by Jose-Manuel Rodriguez-Fortun, Jorge Alvarez, Luis Monzon, Ricardo Salillas, Sergio Noriega, David Escuin, David Abadia, Aitor Barrutia, Victor Gaspar, Jose Antonio Romeo, Fernando Cebrian, Rafael del-Hoyo-Alonso

“…The developments in sensing, actuation, and algorithms, both in terms of Artificial Intelligence (AI) and data treatment, have open up a wide range of possibilities for improving the quality of the production systems in diverse industrial fields. …”
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Enhancing convolutional neural networks in electroencephalogram driver drowsiness detection using human inspired optimizers by Anupam Yadav, Rifat Hussain, Madhu Shukla, Jayaprakash B, Rishiv Kalia, S. Prince Mary, Chou-Yi Hsu, Manoj Kumar Mishra, Kashif Saleem, Mohammed El-Meligy

“…Meanwhile, optimizing DNNs architectures remains a challenge, as training these models is an NP-hard problem. Meta-heuristic algorithms offer an alternative to traditional gradient-based optimizers for improving DNNs performance. …”
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Near Miss Detection Using Distancing Monitoring and Distance-Based Proximal Indicators by Lek Ming Lim, Lu Yang, Wen Zhu, Ahmad Sufril Azlan Mohamed, Majid Khan Majahar Ali

“…Despite efforts to improve road safety, accidents persist due to insufficient evidence from manual police reporting, non-optimized detection algorithms, and technical limitations in real-time video processing and modelling. …”
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AI-Driven Transcriptome Prediction in Human Pathology: From Molecular Insights to Clinical Applications by Xiaoya Chen, Huinan Xu, Shengjie Yu, Wan Hu, Zhongjin Zhang, Xue Wang, Yue Yuan, Mingyue Wang, Liang Chen, Xiumei Lin, Yinlei Hu, Pengfei Cai

“…We systematically examine and analyze the current approaches for predicting gene expression and diagnosing diseases, highlighting their respective advantages and limitations. Machine learning algorithms and deep learning models excel in extracting meaningful features from diverse biomedical modalities, enabling tools like PathChat and Prov-GigaPath to improve cancer subtyping, therapy response prediction, and biomarker discovery. …”
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Recent advances in deep learning for protein-protein interaction: a review by Jiafu Cui, Siqi Yang, Litai Yi, Qilemuge Xi, Dezhi Yang, Yongchun Zuo

“…Moreover, we examined enhanced algorithms for dealing with data imbalances, variations, and high-dimensional feature sparsity, as well as industry challenges (including shifting protein interactions, interactions with non-model organisms, and rare or unannotated protein interactions), and offered perspectives on the future of the field. …”
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