Potential accuracy of quasi-optimal radar meters of angular coordinates with scanning multi-channel antenna system by S. V. Kozlov, Vu Thanh Ha

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Regulation of the functional state of locomotive crew drivers using biofeedback training: factor analysis of experimental data by N. V. Shcherbina

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Smart Real-time Attendance System for Nigerian Universities by Mikailu Habila, Faseki N. Francisca, Luwani Ishaya, Muhammed Kabir Ahmed, Umar A. Muhammad, Haruna P. Charles

“…The system employs Convolutional Neural Networks (CNNs) and the ArcFace algorithm for facial feature extraction and identity verification. …”
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Persistence and Burn-in in Solar Coronal Magnetic Field Simulations by Eric J. Hall, Karen A. Meyer, Anthony R. Yeates

“…Simulations of solar phenomena play a vital role in space-weather prediction. A critical computational question for automating research workflows in the context of data-driven solar coronal magnetic field simulations is quantifying a simulation's burn-in time, after which a solar quantity has evolved away from an arbitrary initial condition to a physically more realistic state. …”
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A multicenter pragmatic implementation study of AI-ECG-based clinical decision support software to identify low LVEF: Clinical trial design and methods by Francisco Lopez-Jimenez, Heather M. Alger, Zachi I. Attia, Barbara Barry, Ranee Chatterjee, Rowena Dolor, Paul A. Friedman, Stephen J. Greene, Jason Greenwood, Vinay Gundurao, Sarah Hackett, Prerak Jain, Anja Kinaszczuk, Ketan Mehta, Jason O'Grady, Ambarish Pandey, Christopher Pullins, Arjun R. Puranik, Mohan Krishna Ranganathan, David Rushlow, Mark Stampehl, Vinayak Subramanian, Kitzner Vassor, Xuan Zhu, Samir Awasthi

“…Background: Artificial intelligence (AI) enabled algorithms can detect or predict cardiovascular conditions using electrocardiogram (ECG) data. …”
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Integrated export instream coefficient model for accurate nonpoint source pollution estimation and management in the Yellow River Basin by Xueting Wang, Lei Wu, Yongkun Luo, Yimu Liu, Ruowen Wang

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RISK FACTORS OF ARRHYTHMIAS IN PATIENTS WITH ACUTE DECOMPENSATION OF CHRONIC HEART FAILURE by N. V. Larionova, A. M. Shutov, M. V. Menzorov, E. V. Efremova, V. V. Kasalinskaya

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Super-resolution femtosecond electron diffraction reveals electronic and nuclear dynamics at conical intersections by Hui Jiang, Juanjuan Zhang, Tianyu Wang, Jiawei Peng, Cheng Jin, Xiao Zou, Pengfei Zhu, Tao Jiang, Zhenggang Lan, Haiwang Yong, Feng He, Dao Xiang

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A new machine learning approach based on spatial fuzzy data correlation for recognizing sports activities by Xu Pengru, Zhou Junhui, Kausar Nasreen, Lin Chunlei, Lu Qianqian, Ghaderpour Ebrahim, Pamucar Dragan, Zadeh Ardashir M.

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Use of deep learning in early software bug detection by Syed Mibran Hassan Zaidi, Maria Khan, Mustafa Latif, Ali Akhtar, Sallar Khan

“…This was achieved by using an ensemble parallel technique for training the Convolutional Neural Network and Random Forest algorithm in a parallel way. Then, the predictions from both models are aggregated using an ensemble voting technique. …”
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Cluster Analysis Based Arc Detection in Pantograph-Catenary System by Shize Huang, Liangliang Yu, Fan Zhang, Wei Zhu, Qiyi Guo

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Numerical modeling of electromagnetic wave propagation in spatially-varying evaporation duct conditions via 3D parabolic equation method by Hanjie Ji, Hanjie Ji, Lixin Guo, Yan Zhang, Tianhang Nie, Yiwen Wei, Jinpeng Zhang, Qingliang Li, Xiangming Guo, Yusheng Zhang

“…This approach significantly enhances predictive accuracy for over-the-horizon radar assessments in maritime environments, providing crucial support for optimizing next-generation communication systems.…”
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Hierarchical optimization control strategy of hybrid electric vehicle platoon under communication failure by Jingyao Wang, Zhen Zeng, Weihao Lei, Haoxu Ye, Weiheng Su, Xunrui Li, Jinghua Guo, Jin Jiang, Keqiang Li

“…The high-level control employs distributed model predictive control (DMPC) to generate desired commands for platoon driving during network failures. …”
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Continuous Assessment of Mental Workload During Complex Human–Machine Interaction: Inferring Cognitive State from Signals External to the Operator by Axel Roques, Dimitri Keriven Serpollet, Alice Nicolaï, Stéphane Buffat, Yannick James, Nicolas Vayatis, Ioannis Bargiotas, Pierre-Paul Vidal

“…Physiological and operational parameters were used to train a novel machine-learning model of MWL. Our algorithm achieves good performance (ROC AUC score 0.836 ± 0.081, the maximum F1 score 0.842 ± 0.078 and PR AUC score 0.820 ± 0.097) and shows that the operational information outperforms the physiological signals in terms of predictive power for MWL. …”
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Research on Designing an Industrial Product-Service System with Uncertain Customer Demands by Fei Zhang, Liecheng Jia, Weizhen Han

“…This paper presents a design model that integrates an improved affinity propagation (AP) clustering algorithm, quality function development (QFD), and axiomatic design (AD). …”
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Wear monitoring method of water-lubricated polymer thrust bearing based on ultrasonic reflection coefficient amplitude spectrum by Changxiong Ning, Fei Hu, Wu Ouyang, Xinpin Yan, Dongling Xu

“…Ultimately, the results demonstrate that the thickness identification error of this method is approximately 1%, and in-situ monitoring ability will be realized in the future, which is of great significance to the life prediction of bearings.…”
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Antioxidants and Cognitive-Behavioral Therapy in Patients with Functional Dyspepsia by T. V. Sapozhnikova, S. A. Parfenov, T. E. Yesina, K. V. Sapozhnikov, A. N. Smirnov, A. A. Paulov, D. M. Rizakhanov, O. A. Rizakhanova

“…After comparing it with a threshold, the probability of a positive response to a combination of antioxidant and cognitive-behavioral therapy is estimated. The developed prediction algorithm is valid (sensitivity — 91 %, specificity — 73 %, accuracy — 84.8 %) and allows to optimize the definition of treatment tactics for a patient with functional dyspepsia.…”
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Optimization of Electric Vehicle Charging and Discharging Strategies Considering Battery Health State: A Safe Reinforcement Learning Approach by Shuifu Gu, Kejun Qian, Yongbiao Yang

“…First, a novel battery health status prediction model based on physics-informed hybrid neural networks (PHNN) is designed. …”
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Detection of Pesticide Residues Using Three-Dimensional SERS Substrate Based on CNTs/Ag/AgNWs/SiO₂ by Jianjun Ding, Niansong Liu, Ganglin Wang, Naiyu Guo, Chao Sun

“…The experimental results indicated that the GA-BP algorithm achieved the training prediction accuracy of 92.5% for thiram, demonstrating good network performance. …”
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Modeling of Thermal Conductivity in a Medium with Phase Transition with a Moving Boundary of Phase Change by Mizonov V.E., Tikhonov A.I., Basova E.V., Mitrofanov A.V.

“…The significance of the results obtained consisted in the development of a simple but informative mathematical model of the media heat treatment kinetics with phase transformations, available for a direct use in the engineering practice. The proposed algorithm for constructing the model can be effectively used in prediction the open water pipes freezing in cold regions, in modeling the heat treatment of metals, in choosing the freezing modes of food products for a long-term storage, and other thermo-physical processes.…”
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