An endoscopic ultrasound-based interpretable deep learning model and nomogram for distinguishing pancreatic neuroendocrine tumors from pancreatic cancer by Nan Yi, Shuangyang Mo, Yan Zhang, Qi Jiang, Yingwei Wang, Cheng Huang, Shanyu Qin, Haixing Jiang

“…The least absolute shrinkage and selection operator algorithm was employed to reduce the dimensionality of deep learning (DL) features extracted from pre-standardized EUS images. …”
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Implementation of a neural network model in the Statistica 12 for mudflow frequency forecasting by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…A multilayer perceptron (MLP) was chosen as a neural network method, and a hyperbolic tangent (tanh) was used as an activation function. Based on deep learning algorithms, a mathematical model MPL 2-50-1 was developed, which is capable of learning on the used data (precipitation, temperature, number of mudflows for the period 1953-2015) and forecasting the number of mudflows based on the meteorological parameters (precipitation, temperature) entered into the model. …”
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Methods to Quantitatively Evaluate the Effect of Shale Gas Fracturing Stimulation Based on Least Squares by DENG Cai, SUN Kexin, WEN Huan, HU Chaolang

“…Advanced global optimization algorithms, including the Levenberg-Marquardt method, were applied to effectively address this non-convex problem. 2) Active perforation assessment: A computational method was developed based on the fitted perforation friction coefficient and established perforation erosion equations. …”
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Open-Switch Fault Diagnosis for Grid-Tied HANPC Converters Using Generalized Voltage Residuals Model and Current Polarity in Flexible Distribution Networks by Xing Peng, Fan Xiao, Ming Li, Yizhe Chen, Yifan Gao, Ruifeng Zhao, Jiangang Lu

“…The diagnosis of open-circuit (OC) faults in power switches is the premise for implementing fault-tolerant control, a critical aspect in ensuring the reliable operation of three-level hybrid active neutral-point-clamped (HANPC) converters in flexible distribution networks. …”
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A radiomics approach for predicting gait freezing in Parkinson’s disease based on resting-state functional magnetic resonance imaging indices: A cross-sectional study by Miaoran Guo, Hu Liu, Long Gao, Hongmei Yu, Yan Ren, Yingmei Li, Huaguang Yang, Chenghao Cao, Guoguang Fan

“…We used the least absolute shrinkage and selection operator algorithm to extract features and established feedforward neural network models based solely on resting-state functional magnetic resonance imaging indicators. …”
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Backstepping Predictive Direct Power Control of Grid-Connected Photovoltaic System Considering Power Quality Issue by Brahim Elkhalil Youcefa, Ahmed Massoum, Said Barkat, Patrice Wira

“…Processor in the Loop (PIL) co-simulation results prove the performances efficiency of the implemented control algorithms under a nonlinear load operating condition.…”
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Robust Framework for PMU Placement and Voltage Estimation of Power Distribution Network by Nida Khanam, Mohd. Rihan, Salman Hameed

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Assessment of <italic>L</italic>-Band Passive Microwave Soil Moisture Retrievals Against In Situ Measurements in the North American Boreal Biome by Azza Gorrab, Oliver Sonnentag, Arnaud Mialon, Chelene C. Hanes, Juliette Ortet, Aaron A. Berg, Muhammad Umair, Alexandre Roy

“…Two missions with passive microwave radiometers operating at <italic>L</italic>-band (1&#x2013;2 GHz) were launched to estimate SM at a global scale: soil moisture and ocean salinity (SMOS) launched in 2009 and soil moisture active passive (SMAP) launched in 2015. …”
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ANALYSIS OF GENERAL PLOW BODY TRACTIVE RESISTANCE by A. Yu. Izmaylov, A. A. Artyushin, N. E. Evtyushenkov, G. S. Bisenov, V. F. Rozhin, D. N. Kynev

“…Satellite monitoring and the fuel accounting is an urgent need for normal operation of motor transport. Introduction of a system activity with use of modern satellite technologies allows to lower transportation costs, to increase efficiency of use of agricultural machinery. …”
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An advanced real-time crash prediction framework for combined hard shoulder running and variable speed limits system using transformer by Mohamed Abdel-Aty, Tarek Hasan, B M Tazbiul Hassan Anik

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Analysis and Design of ADRC for the LCC-LCC WPT System by Wencong Huang, Wentao Lin, Peng Gao, Yufang Chang

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Two-layer Optimization Scheduling for Off-grid Microgrids Based on Multi-agent Deep Policy Gradient by Huicong FAN, Zhiguo DUAN, Zhiyong CHEN, Shijia ZHU, Hang LIU, Wenxiao LI, Yang YANG

“…To address the voltage limit violations and bidirectional power flow problems arising from high-penetration integration of distributed renewable energy, this paper proposes a two-layer active-reactive power cooperative optimization method to achieve cooperative optimal dispatch of active and reactive power in off-grid microgrids, ensuring the secure and stable operation of the system while enhancing operational economy. …”
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Voltage Support Capacity Improvement for Wind Farms with Reactive Power Substitution Control by Yuegong Li, Guorong Zhu, Jianghua Lu, Hua Geng

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Innovative Control Techniques for Enhancing Signal Quality in Power Applications: Mitigating Electromagnetic Interference by N. Manoj Kumar, Yousef Farhaoui, R. Vimala, M. Anandan, M. Aiswarya, A. Radhika

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Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods by Shengpei Zhou, Nanfeng Zhang, Qin Duan, Xiaosong Liu, Jinchao Xiao, Li Wang, Jingfeng Yang

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Building a Custom Crime Detection Dataset and Implementing a 3D Convolutional Neural Network for Video Analysis by Juan Camilo Londoño Lopera, Freddy Bolaños Martinez, Luis Alejandro Fletscher Bocanegra

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Research on structural vertical stiffness evaluation of track-specific suspension bridge under the action of the no-load first train by Xiaogang Li, Sihan Cen, Peng Ding, Xiaohu Chen, Xiangsheng Huang, Haoran Luo

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A factor analysis based automatic optimization method of vibration sensor points for ship acoustic reconstruction by Linchang Ye, Yun Liu, Zongpeng Tong, Zhaowang Xia, Wenkun Fan, Chunyu Zhang, Junhua Guo, Jianping Shen

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Analysis of signals from air conditioner compressors with ordinal patterns and machine learning by Keila Barbosa, Alejandro C Frery, George DC Cavalcanti

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An SVDD-based post-processing approach for vibration risk assessment of the hydro-turbine-generator in a large hydropower station by Jinliang Zhang, Fengwei Yang, Chao Liang, Yuansheng Zhang, Yongchang Li

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