Research on Constraint Processing Method of High-dimensional Optimization Operation Problem of Cascade Reservoirs by Zhongzheng HE, Shuliang LI, Wei HUANG, Feng YAN, Jisi FU, bin XIONG

“…Therefore, this study introduces a constraint processing approach that integrates a penalty function with nested DPSA–POA and intelligent algorithms and applies it to the optimal flood control operation problem of cascade reservoirs in the middle reaches of the Ganjiang River, with decision variables extending to 2196 dimensions. The results of the correlation analysis indicated that: 1) the nested DPSA–POA intelligent algorithm combined with a penalty function can address the high-dimensional optimization problem under varying water inflow conditions using three constraint processing methods; 2) Of the three constraint processing methods, method 2, which involves DE optimization after securing a feasible solution through nested optimization, achieves the highest convergence accuracy, though the computation time is approximately 10 h; method 3, which involves DPSA–POA optimization after securing a feasible solution through nested optimization, achieves the second highest convergence accuracy, with a computation time of about 1～3 h; 3) Existing SF, SR, PF, and EC constraint treatment strategies fail to consistently converge to a feasible solution under different water inflow conditions, and the convergence accuracy of the results, upon obtaining a feasible solution, is significantly lower than that of the method introduced in this study. …”
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An Efficient Aircraft Conflict Detection and Resolution Method Based on an Improved Reinforcement Learning Framework by Qiucheng Xu, Zhangqi Chen, Fangfang Li, Zhiyuan Shen, Wenbin Wei

“…To solve the problem of nonconflict high-density departure and arrival traffic flow, this method is expected to rapidly establish and maintain safe separation with more flexible changing strategies for aircraft heading and speed. …”
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Investigation of patterns of variation in water quality indicators of the Iset River with the use of neuronet methods by Oleg M. Rosenthal, Vladislav K. Fedotov

Understanding environmental decision making: The association between stages of decision making and decisional conflict by Letizia Richelli, Eline L.F.M.G. Vissers, Alessandra Gorini, Marijn H.C. Meijers, Eline S. Smit, Thomas Gültzow

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Evaluation of a Virtual Home Health Heart Failure Program: Mixed Methods Study by Nilufeur McKay, Rosemary Saunders, Helene Metcalfe, Sue Robinson, Peter Palamara, Kellie Steer, Jeannie Yoo, Miles Ranogajec, Lisa Whitehead, Beverley Ewens

“…MethodsThe VHHHFP is a virtual postdischarge support service for patients with heart failure that includes an intensive 3-month period followed by a maintenance period delivered by an interdisciplinary team. …”
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The impact of using electronic payment methods on transparency and disclosure: Case study Jordanian companies by Aridah MAMOUN WALID, Ramadhan SHERZAD

“…The media plays a negative role through messages that are transmitted through official and non-official media 3. There is still a need for more educational programs and seminars on the mechanisms of using electronic payment methods and their advantages 4. …”
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The Main Trends in the Development of Methods and Models for the Use of Digital Technologies in the Creation of Value Chains by N. M. Abdikeev, E. L. Moreva

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Radiographic methods of examination of the thoracic cavity organs in the elderly: age characteristics, norms and pathology by K. A. Riaskin, L. A. Titova, I. P. Moshurov, M. S. Ganzya

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Evaluating Generalization of Methods for Artificially Generating NDVI from UAV RGB Imagery in Vineyards by Jurrian Doornbos, Önder Babur, João Valente

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Diagnostic Applications of AI in Sports: A Comprehensive Review of Injury Risk Prediction Methods by Carmina Liana Musat, Claudiu Mereuta, Aurel Nechita, Dana Tutunaru, Andreea Elena Voipan, Daniel Voipan, Elena Mereuta, Tudor Vladimir Gurau, Gabriela Gurău, Luiza Camelia Nechita

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Reinforcement Learning-Based Continuous Action Space Path Planning Method for Mobile Robots by Weimin Zhang, Guoyong Wang

“…The results show that compared with other three comparison methods, the final success rates of the proposed method are the highest, which are 97.2%, 99.1%, 98.4%, and 98.6%, respectively.…”
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Method for recognizing abnormal operation patterns in hydraulic support machine-following and shifting control by MA Zhitao, FU Xiang, LI Haojie, NIU Penghao, JIA Yifan

“…This method shifted the scope of anomaly detection to the shifting stage after the support has lowered its columns, and classifies abnormal patterns into three types: shutdown fluctuation type, over-time shifting type, and stroke anomaly type. …”
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Mixed signal modulation recognition method based on temporal depth residual shrinkage network by LIU Jinghua, WEI Xianglin, FAN Jianhua, HU Yongyang, WANG Xiaobo, YU Bing

“…Deep learning-based automatic signal modulation recognition has generally outperformed traditional methods in terms of classification accuracy and transferability, garnering widespread attention. …”
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A Vehicle Conflict Risk Identification Method Based on an Improved Intelligent Driver Model by Shouming Qi, Ao Zheng

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Action-Oriented Deep Reinforcement Learning Method for Precast Concrete Component Production Scheduling by Rongzheng Yang, Shuangshuang Xu, Hao Li, Hao Zhu, Hongyu Zhao, Xiangyu Wang

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Technology and Method Optimization for Foot–Ground Contact Force Detection in Wheel-Legged Robots by Chao Huang, Meng Hong, Yaodong Wang, Hui Chai, Zhuo Hu, Zheng Xiao, Sijia Guan, Min Guo

“…To address this challenge, this study proposes a foot–ground contact state detection technique and optimization method based on multi-sensor fusion and intelligent modeling for wheel-legged robots. …”
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Dynamic scheduling method of service function chain executors based on the mimic defense architecture by Chuanhuang LI, Jingjing TANG, Yangting CHEN, Rui LEI, Chao CHEN, Weiming WANG

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A Novel Method for Solving Multiobjective Linear Programming Problems with Triangular Neutrosophic Numbers by Qing Wang, Yi Huang, Shiming Kong, Xinqiang Ma, Youyuan Liu, S. K. Das, S. A. Edalatpanah

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Developing a hybrid feature selection method to detect botnet attacks in IoT devices by Alshaeaa H.Y., Ghadhban Z.M., Ministry of Education, Iraq

“…This article aims to develop a hybrid feature selection method to find the most influential features based on three feature selection methods, correlation, generalized normal distribution optimization, and lasso, to detect botnet attacks in IoT devices. …”
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TBM Enclosure Rock Grade Prediction Method Based on Multi-Source Feature Fusion by Yong Huang, Xiewen Hu, Shilong Pang, Wei Fu, Shuaipeng Chang, Bin Gao, Weihua Hua

“…Aiming to mitigate engineering risks such as tunnel face collapse and equipment jamming caused by poor geological conditions during the construction of tunnel boring machines (TBMs), this study proposes a TBM surrounding rock grade prediction method based on multi-source feature fusion. Firstly, a multi-source dataset is established by systematically integrating TBM tunnelling parameters, horizontal acoustic profile (HSP) detection data and three-dimensional geological spatial information. …”
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