Pioneering machine learning techniques to estimate thermal conductivity of carbon-based phase change materials: A comprehensive modeling framework by Raouf Hassan, Alireza Baghban

“…Among them, CatBoost achieved the highest predictive performance with an R2 of 0.979 and the lowest mean squared error (MSE) of 0.006 on the test set. …”
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Associations between anthropometric indices and biological age acceleration in American adults: insights from NHANES 2009–2018 data by Xinyun Chen, Xia Chen, Fangyu Shi, Wenhui Yu, Chang Gao, Shenju Gou, Ping Fu

“…Receiver Operating Characteristic (ROC) curve analysis assessed the predictive capabilities of the anthropometric indices. …”
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Optimizing Competency-Based Human Resource Allocation in Construction Project Scheduling: A Multi-Objective Meta-Heuristic Approach by Bahman Shojaei, Heidar Dashti Naserabadi, Mohammad Javad Taheri Amiri

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Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology by Ru Liu, Wenxi Shen

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A Machine Learning-Based Parameterized Tropical Cyclone Precipitation Model by Yi Lu, Jie Yin, Peiyan Chen, Hui Yu, Sirong Huang

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Tri-band vehicle and vessel dataset for artificial intelligence research by Yingjian Liu, Gangnian Zhao, Shuzhen Fan, Cheng Fei, Junliang Liu, Zhishuo Zhang, Liqian Wang, Yongfu Li, Xian Zhao, Zhaojun Liu

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Examining the role of social media in fostering responsible consumption: Insights from Bitcoin Adoption trends (2015–2023) by Yu Ge, Haochuan Wang, Kenny Soon Lee Cheah, Azni Zarina Binti Taha

“…To foster responsible consumption, social media platforms must address the issue of content imbalance. Algorithms that prioritize sensationalism over educational material often mislead users, steering them toward impulsive decisions. …”
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Labelling Training Samples Using Crowdsourcing Annotation for Recommendation by Qingren Wang, Min Zhang, Tao Tao, Victor S. Sheng

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A Deep Learning Model Leveraging Time-Series System Call Data to Detect Malware Attacks in Virtual Machines by A. Alfred Raja Melvin, Jaspher W. Kathrine, Andrew Jeyabose, D. Cenitta

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Potentialities and development of groundwater resources applying machine learning models in the extended section of Manbhum-Singhbhum Plateau, India by Arijit Ghosh, Biswajit Bera

“…XGBoost indicates the highest predictive capacity (AUC 0.97). The innovation of this study lies in the combination of hydrological, topographical and geological datasets into machine learning platform. …”
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Artificial intelligence in soil science: Where do we go now? by Jose Pablo Castro, Caley K. Gasch, Paulo Flores

“…Core Ideas Artificial intelligence (AI) is changing soil science with advanced analytic and predictive modeling tools. Ethical AI in soil science should focus on data integrity, privacy, and transparent research. …”
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Probabilistic daily runoff forecasting in high-altitude cold regions using a hybrid model combining DBO and transformer variants by Qiying Yu, Wenzhong Li, Yungang Bai, Zhenlin Lu, Yingying Xu, Chengshuai Liu, Lu Tian, Chen Shi, Biao Cao, Tianning Xie, Jianghui Zhang, Caihong Hu

“…Across various forecast periods, the model’s NSE values are 6.9–26.9 % higher than those of the TCN and Transformer models, offering more reliable short-term and long-term predictions. Furthermore, the Bootstrap algorithm’s probabilistic approach provides valuable insights into forecast uncertainty, a crucial feature for managing water resources and mitigating flood risks in high-altitude cold regions with complex hydrological dynamics.…”
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Modeling and validation of wearable sensor-based gait parameters in Parkinson’s disease patients with cognitive impairment by Guo Hong, Guo Hong, Fengju Mao, Fengju Mao, Mingming Zhang, Fei Zhang, Fei Zhang, Xiangcheng Wang, Kang Ren, Kang Ren, Zhonglue Chen, Zhonglue Chen, Xiaoguang Luo, Xiaoguang Luo

“…The logistic regression model demonstrated superior predictive performance (test set AUC: 0.957), outperforming other machine learning algorithms. …”
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Comparison of nonlinear Kalman filtering schemes for sensorless control of permanent magnet-assisted synchronous reluctance machines by M.A. González-Cagigal, Cristina Martín, Mario Bermúdez, Pedro Cruz-Romero

“…Speed-sensorless control methods can provide additional competitive advantages to these machines, such as cost and size reduction, and reliability enhancement. In this sense, Kalman filter theory (KF) constitutes a well-established solution for sensorless control of electrical drives that can be easily combined with model predictive control schemes (MPC). …”
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Computational fluid dynamic and machine learning modeling of nanofluid flow for determination of temperature distribution and models comparison by Farag M. A. Altalbawy, Ahmad Alkhayyat, Ramdevsinh Jhala, Anupam Yadav, T. Ramachandran, Aman Shankhyan, A. Karthikeyan, Dhirendra Nath Thatoi, Vladimir Vladimirovich Sinitsin

“…Overall, the combination of the PO algorithm and the machine learning models showcases promising results in temperature prediction. …”
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Advancements in Chemical Materials: Exploring Smart Storage Equipment and Protection Systems (Review) by Samah Kamil, Mohammed Al-Turfi, Riyadh Almukhtar

“…Results showed breakthroughs in sensor technologies, systems integration, and AI algorithms for real-time storage facility monitoring, danger identification, and predictive analytics. …”
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A Review of Modeling and Control Techniques for Unmanned Aerial Vehicles by Elisabeth Andarge Gedefaw, Nardos Belay Abera, Chala Merga Abdissa

“…The findings highlight that hybrid control strategies incorporating adaptive mechanisms, learning‐based algorithms, and quaternion‐based modeling offer significant potential for enhancing autonomy and control. …”
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Using the Remote Sensing Method to Simulate the Land Change in the Year 2030 by Burcu Degerli, Mehmet Çetin

“…Spatial and temporal variability properties of LU/LC were determined using MLC algorithm, controlled classification approach. The predictive values of the LU/LC change that will occur in 2030, calculated with the MLP‑ANN model based on Machine Learning algorithms and mapped with the QGIS 3.16 program. …”
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Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors by Talha Khan, Shaheer Ahmed, Syed Safdar Ali Rizvi, Sadique Ahmad, Nitasha Khan

“…Moreover, Artificial Intelligence (AI) based predictive or classification algorithms may be applied for the best optimal results.   …”
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LED-Based Optical Wireless Power Transmission for Automatic Tracking and Powering Mobile Object in Real Time by Mingzhi Zhao, Tomoyuki Miyamoto

“…By integrating machine vision and predictive control algorithms, the system ensures accurate tracking and stable power delivery under dynamic operating conditions. …”
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