Accurate detection of critical LLFs and LGFs in PV arrays based on deep reinforcement learning using proximal policy optimization (PPO) by Sherko Salehpour, Aref Eskandari, Amir Nedaei, Mohammad Gholami, Mohammadreza Aghaei

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Calculation of stationary points in linear bilevel programming problems by D. E. Berezhnov, L. I. Minchenko

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Efficient Phase Retrieval via Improved Binary Amplitude Modulation Masks by Chao Yang, Cheng Xu, Hui Pang, Jun Lan, Lixin Zhao, Song Hu, Wei Yan, Xianchang Zhu

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HyperCell: A Bio-inspired Design Framework for Real-time Interactive Architectures by Jia-Rey Chang

“…These three major topics will be introduced in this Summary.   “Computation”, is any type of calculation that includes both arithmetical and nonarithmetical steps and follows a well-defined model understood and described as, for example, an algorithm. …”
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Enhanced Detection of Intrusion Detection System in Cloud Networks Using Time-Aware and Deep Learning Techniques by Nima Terawi, Huthaifa I. Ashqar, Omar Darwish, Anas Alsobeh, Plamen Zahariev, Yahya Tashtoush

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Wireless routeing scheme for UAV-assisted access networks based on the link path loss by Beza Negash Getu, Ali Alnoman

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Enhanced LSTM-based AI model for accurate dissolved oxygen prediction in aquaculture systems by Ala Saleh Alluhaidan, Prabu P, Romana Aziz, Shakila Basheer

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BASSET: Bandpass-adaptive Single-pulse Search Toolkit—Optimized Subband Pulse Search Strategies for Faint Narrowband Fast Radio Bursts by J. H Cao, P. Wang, D. Li, Q. H. Pan, K. Mao, C. H. Niu, Y. K. Zhang, Q. Y. Qu, W. J. Lu, J. S. Zhang, Y. H. Zhu, Y. D. Wang, H. X. Chen, X. L. Chen, J. H. Fang, Y. Feng, H. Gao, Y. F. Huang, J. Li, C. C. Miao, C. W. Tsai, J. M. Yao, S. P. You, R. S. Zhao, Q. Z. Liu, S. M. Weng, S. H. Yew, J. Zhang, L. Zhang, E. Gügercinoğlu, D. K. Zhou, W. W. Zhu

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Power system corrective control considering topology adjustment: An evolution-enhanced reinforcement learning method by Haoran Zhang, Peidong Xu, Ji Qiao, Yuxin Dai, Yuyang Bai, Tianlu Gao, Fan Yang, Jun Zhang, Jun Hao, Wenzhong Gao

“…Conventional corrective control methods often struggle to balance computational speed with control optimality. In contrast, deep reinforcement learning facilitates faster control. …”
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An intelligent partial charging navigation strategy for electric vehicles by Jinsheng Xiao, Bang Sun, Xun Gao, Hua Yang, Liyuan Wang

“…Employing an improved genetic algorithm for route planning, our method demonstrates a dual advantage – reducing computational complexity and saving an average of 15% in travel time. …”
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An artificial ecological system-based optimization to forecast the maximal TPH removal from Nigeria's Niger Delta crude oil-contaminated soil treated with a mix of biochar by Daniel Hogan Itam, Chimeme Martin Ekwueme, Ibiba Taiwo Horsfall

“…The optimization approach involved the integration of artificial intelligence algorithms and ecological principles to simulate and optimize TPH removal process. …”
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Deep reinforcement learning for multi-objective location optimization of onshore wind power stations: a case study of Guangdong Province, China by Yanna Gao, Hong Dong, Liujun Hu, Fanhong Zeng, Yuqun Gao, Zhuonan Huang, Shaohua Wang, Shaohua Wang

“…To solve this model at large scale, a deep reinforcement learning (DRL) algorithm is designed and implemented. The DRL approach is benchmarked against a traditional optimization implementation using the Gurobi solver. …”
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Ship Typhoon Avoidance Route Planning Method Under Uncertain Typhoon Forecasts by Zhengwei He, Junhong Guo, Weihao Ma, Jinfeng Zhang

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Human fall direction recognition in the indoor and outdoor environment using multi self-attention RBnet deep architectures and tree seed optimization by Awais Khan, Jung-Yeon Kim, Chomyong Kim, Muhammad Attique Khan, Hyojin Shin, Jiyoung Woo, Yunyoung Nam

“…The 7-RBNet and 9-RBNet self-attention models demonstrated superior accuracy and precision rates, leading us to exclude the 3-RBNet self model from further analysis. To optimize feature selection and improve classification performance while reducing computational costs, we employed the tree seed algorithm on the self-attention features of 7-RBNet and 9-RBNet self-attention models. …”
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Two-Phase Optimization Models for Liner Shipping Network Based on Hub Ports Cooperation: From the Perspective of Supply-Side Reform in China by Jingmiao Zhou, Yuzhe Zhao, Xingwen Niu

“…The models in both phases are mixed-integer linear programming (MILP), but are solved by different tools: CPLEX for the NA phase models and the Genetic Algorithm (GA) for the NO phase models due to the computational complexity of the latter problem. …”
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A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging by Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, Salil Batra, Joy Das, Kanchon Kumar Bishnu, Md Tanvir Rahman Tarafder, Araf Islam

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Quadratic interpolation optimization-based 2DoF-PID controller design for highly nonlinear continuous stirred-tank heater process by Serdar Ekinci, Davut Izci, Veysel Gider, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

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Simultaneous OPEX and carbon footprint reduction with hydrogen enhancement in autothermal reforming: a machine learning–based surrogate modeling and optimization framework by Sahar Shahriari, Davood Iranshahi

“…Although conventional multi-objective optimization techniques have been widely applied to hydrogen production systems, their reliance on high computational budgets and limited integration with intelligent learning frameworks constrains their scalability and adaptability. …”
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Autonomous adaptive optimization of NMR experimental conditions for precise inference of minor conformational states of proteins based on chemical exchange saturation transfer. by Takuma Kasai, Takanori Kigawa

“…When optimization in advance is not possible because of limited prior knowledge of the system, autonomous, adaptive optimization must be implemented during the experiment. …”
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Optimizing intelligent reflecting surface assisted visible light communication networks under blockage and practical constraints using TLBO for IoT applications by Vipul Dixit, Ajit Kumar, Nishant Sharan, Shikha Pandey, Atul Kumar, Ram Sewak Singh

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