Optimizing photocatalytic dye degradation: A machine learning and metaheuristic approach for predicting methylene blue in contaminated water by Yunus Ahmed, Keya Rani Dutta, Sharmin Nahar Chowdhury Nepu, Meherunnesa Prima, Hamad AlMohamadi, Parul Akhtar

“…It reached a very high R² of 0.9998 on the training set and 0.9915 on the test set, coupled with low error metrics, showcasing its strong generalization capability. …”
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Strategies for multi-case physics-informed neural networks for tube flows: a study using 2D flow scenarios by Hong Shen Wong, Wei Xuan Chan, Bing Huan Li, Choon Hwai Yap

“…However, vanilla PINNs often demand longer training times than conventional CFD methods for each specific flow scenario, limiting their widespread use. …”
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International society of sports nutrition position stand: nutrition and weight cut strategies for mixed martial arts and other combat sports by Anthony A. Ricci, Cassandra Evans, Charles Stull, Corey A. Peacock, Duncan N. French, Jeffery R. Stout, David H. Fukuda, Paul La Bounty, Douglas Kalman, Andrew J. Galpin, Jaime Tartar, Sarah Johnson, Richard B. Kreider, Chad M. Kerksick, Bill I. Campbell, Aaron Jeffery, Chris Algieri, Jose Antonio

“…During fight week, acute water loss strategies, including sauna, hot water immersion, and mummy wraps, can be used effectively with appropriate supervision (optimally ~2–4% of body mass within 24 h of weigh-in). 11. …”
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Single-Stage Entity–Relation Joint Extraction of Pesticide Registration Information Based on HT-BES Multi-Dimensional Labeling Strategy by Chenyang Dong, Shiyu Xi, Yinchao Che, Shufeng Xiong, Xinming Ma, Lei Xi, Shuping Xiong

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Analysis of traditional food perangi protein intake, energy and body mass index on power of student Sports Education and Training Center (PPLP) rowing Kendari athletes by asmuddin asmuddin, Salwiah Salwiah, Amran Amran, Kukuh Wahyudin Pratama

“… Introduction: this research contributes significantly to the development of sports nutrition strategies, particularly for adolescent athletes in training, to support optimal physical performance. …”
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Data-driven design of topologically optimized auxetic metamaterials for tailored stress–strain and Poisson’s ratio-strain behaviors by Yueyou Tang, Anfu Zhang, Qi Zhou, Mu He, Liang Xia

“…By combining evolutionary strategies with an adaptive learning factor, we construct an efficient global optimization model that enables high-accuracy coupled customization of both curves under finite deformation. …”
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Analysis and Optimization of Customer Lifetime Value Prediction using Machine Learning and Deep Learning Models by RFM Techniques by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, MohammadReza Sanaei

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A Novel Underwater Wireless Optical Communication Optical Receiver Decision Unit Strategy Based on a Convolutional Neural Network by Intesar F. El Ramley, Nada M. Bedaiwi, Yas Al-Hadeethi, Abeer Z. Barasheed, Saleha Al-Zhrani, Mingguang Chen

“…The results demonstrate that our CNN-based BER estimation strategy accurately predicts the corresponding signal-to-noise ratio (SNR) and enables reliable BER estimation.…”
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Research on control strategy for energy management of hydrogen-electric hybrid vehicles in urban rail transit applications based on fuzzy control by LI Hongwei, CHEN Limei, GAO Yang, WANG Jian, SHI Lei, XIANG Weiran

“…Compared with the traditional power supply mode using OCS systems, the proposed strategy improves vehicle efficiency by about 25.36%, and demonstrates significant energy-saving effects, while remaining the optimal power range without abrupt changes in fuel cell power output.…”
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SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent by Rabbiya Younas, Hafiz Muhammad Raza Ur Rehman, Ingyu Lee, Byung-Won On, Sungwon Yi, Gyu Sang Choi

“…Our proposed methodology contributes to the ongoing evolution of MARL techniques, showcasing advancements in attention mechanisms and optimization strategies for enhanced multi-agent system capabilities.…”
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U-ActionNet: Dual-Pathway Fourier Networks With Region-of-Interest Module for Efficient Action Recognition in UAV Surveillance by Abdul Monaf Chowdhury, Ahsan Imran, Md Mehedi Hasan, Riad Ahmed, Akm Azad, Salem A. Alyami

“…Meanwhile, the second pathway employs edge-optimized models, integrating ROI extraction-based frame sampling technique to eliminate static frames while preserving pivotal frames essential for model training. …”
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Research on High-Precision Motion Planning of Large Multi-Arm Rock Drilling Robot Based on Multi-Strategy Sampling Rapidly Exploring Random Tree* by Qiaoyu Xu, Yansong Lin

“…In addressing the optimal motion planning issue for multi-arm rock drilling robots, this paper introduces a high-precision motion planning method based on Multi-Strategy Sampling RRT* (MSS-RRT*). …”
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Risk–Cost Equilibrium for Grid Reinforcement Under High Renewable Penetration: A Bi-Level Optimization Framework with GAN-Driven Scenario Learning by Feng Liang, Ying Mu, Dashun Guan, Dongliang Zhang, Wenliang Yin

“…This work offers a new methodological paradigm, in which optimization and generative AI co-evolve to produce robust, data-aware, and stress-responsive transmission infrastructure designs.…”
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FedDBO: A Novel Federated Learning Approach for Communication Cost and Data Heterogeneity Using Dung Beetle Optimizer by Dongyan Wang, Limin Chen, Xiaotong Lu, Yidi Wang, Yue Shen, Jingjing Xu

“…In each round of training, only some of the clients with high model scores need to be selected to upload their parameters to the server, thus reducing communication costs; Simultaneously, a model retraining strategy is introduced. …”
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Optimal control of interactions between invasive alien and native species in a certain time period with the r-PINN approach by Yudi Ari Adi, Danang A. Pratama, Maharani A. Bakar, Sugiyarto Surono, Suparman, Agung Budiantoro

“…The spread of invasive species poses a significant challenge to native biodiversity and ecosystem stability. An optimal control strategies to minimize the negative impacts of invasive species populations on native species and the ecosystem must be done in order to preserve the diversity in the ecosystem. …”
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Effects of kinesiology taping timing on recovery in the lower limbs by Chia-Yu Tang, Ying-Che Huang, Ying-Che Huang, Fu-Shun Hsu, Fu-Shun Hsu, Fu-Shun Hsu, Chia-Hsien Yu, Chang-Chi Lai, Szu-Kai Fu

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TCN-LSTM-MHSA model optimized by improved slime mould algorithm for stress prediction of roadway anchor bolts (cables) by QI Junyan, CHE Yuhao, WANG Lei, YUAN Ruifu

“…In the problem of anchor bolt (cable) stress prediction in coal mine roadways, model training often involves complex optimization tasks such as hyperparameter tuning and learning rate selection. …”
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Novel Real-Time Power System Scheduling Based on Behavioral Cloning of a Grid Expert Strategy with Integrated Graph Neural Networks by Xincong Shi, Chuangxin Guo

“…Tested on a modified IEEE 33-bus model rich in renewable sources, GES-GNNBC outperforms both traditional and RL methods in stability and efficiency of computing optimization schemes and power balance strategies, markedly improving dispatch decision-making speed and effectiveness.…”
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Effects of Exercise on Dynamic Balance in People with Type 2 Diabetes Mellitus: A Systematic Review and Meta-Analysis of Randomized Controlled Trials by Wenda Zheng, Hao Su, Bing Han, Zhuying Chen, Xiaojie Liu, Yuanyuan Lv, Laikang Yu

“…These findings suggest that supervised, multicomponent training performed at least three times weekly, with each session lasting <60 min, to attain a cumulative weekly time of 180 min, represents an evidence-based strategy to improve the dynamic balance in T2DM patients.…”
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Soft-sensor modeling of silicon content in hot metal based on sparse robust LS-SVR and multi-objective optimization by GUO Dong-wei, ZHOU Ping

“…Based on those, an on-line soft sensor model of hot metal[Si] with the optimal parameters was obtained by using the multi-objective genetic algorithm (NSGA-Ⅱ) with the non-dominated sort and elitist strategy. …”
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