Research on Ship Engine Fuel Consumption Prediction Algorithm Based on Adaptive Optimization Generative Network by Defu Zhang, Yuxuan Song, Jianfeng Gao, Zhenyu Shen, Liangkuan Li, Anren Yao

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Optimization of high-intensity resistance exercise protocols for improving bone mineral density in the elderly without chronic diseases: a systematic review and network meta-analys... by Yang Cheng, Yang Cheng, Yue Yi, Shumin Bo, Jun Mao, Jing Ma

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A Review of Embodied Grasping by Jianghao Sun, Pengjun Mao, Lingju Kong, Jun Wang

“…In reinforcement learning, the pre-trained model is used to obtain the optimal reward function, which improves the learning efficiency and ability of reinforcement learning; (3) embodied agent: The pre-trained model adopts hierarchical or holistic execution to achieve end-to-end robot control. …”
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The Potential Risks and Ethical Regulations of Contemporary Life Sciences and Technologies by Zhen QIAN, Yaqing PAN, Junrong LIU

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Post-training breakdown: acute effects of different training types on body hydration status and performance by Erkan Demirkan, Mehmet İsmail Tosun, Abdurrahim Kaplan, Mert Ayrancı, Damian George Cosmin, Mustafa Arıcı, Mehmet Kutlu, Veysi Aslan, Michael Favre

“…Implementing enhanced hydration strategies during endurance-focused sessions may also help mitigate these acute impacts and optimize recovery and performance in young wrestlers.…”
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A mini review of transforming dementia care in China with data-driven insights: overcoming diagnostic and time-delayed barriers by Pinya Lu, Xiaolu Lin, Xiaofeng Liu, Mingfeng Chen, Caiyan Li, Hongqin Yang, Yuhua Wang, Xuemei Ding

“…IntroductionInadequate primary care infrastructure and training in China and misconceptions about aging lead to high mis−/under-diagnoses and serious time delays for dementia patients, imposing significant burdens on family members and medical carers.Main bodyA flowchart integrating rural and urban areas of China dementia care pathway is proposed, especially spotting the obstacles of mis/under-diagnoses and time delays that can be alleviated by data-driven computational strategies. …”
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Prior Knowledge-Based Two-Layer Energy Management Strategy for Fuel Cell Ship Hybrid Power System by Lin Liu, Xiangguo Yang, Xin Li, Xingwei Zhou, Yufan Wang, Telu Tang, Qijia Song, Yifan Liu

“…Distribution results are then used to train an SSA-BP neural network, creating an offline strategy library. …”
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Efficient Design of a Terahertz Metamaterial Dual-Band Absorber Using Multi-Objective Firefly Algorithm Based on a Multi-Cooperative Strategy by Guilin Li, Yan Huang, Yurong Wang, Weiwei Qu, Hu Deng, Liping Shang

“…Machine learning-based methods, such as neural networks and deep learning, require a large number of simulations to gather training samples. Existing design methods based on single-objective optimization often result in uneven multi-objective optimization, which restricts practical applications. …”
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Integration of Visible Light Communication, Artificial Intelligence, and Rerouting Strategies for Enhanced Urban Traffic Management by Manuela Vieira, Gonçalo Galvão, Manuel A. Vieira, Mário Véstias, Pedro Vieira, Paula Louro

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Unbalancing Datasets to Enhance CNN Models Learnability: A Class-Wise Metrics-Based Closed-Loop Strategy Proposal by Somayeh Shahrabadi, Victor Alves, Emanuel Peres, Raul Morais Dos Santos, Telmo Adao

“…Using these datasets, 72 models with varying configurations – including different convolutional neural network architectures, initial learning rates, and optimizers – were initially trained and then evaluated against imagery test sets. …”
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Formulation, nutritional profile, and sensory acceptability of cookies incorporating locally sourced ingredients as complementary foods for toddlers: A strategy for stunting preven... by Yuliana, Rahmi Holinesti, Nabila Tasrif, Ifnalia Rahayu, Afifah Nur Hasanah, Helmizar, Healthy Hidayanti, Yolanda Febriani Naserd, Siti Halipah

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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning. by Yunhu Huang, Wenzhu Lai, Dewang Chen, Geng Lin, Jiateng Yin

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”
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Cloud Platform Selection Model in the Framework of Differential Quality Game With Fuzzy Information by Kaiyrbek Makulov, Arkadii A. Chikrii, Valery Lakhno, Bagdat Yagaliyeva, Volodimir Malyukov, Inna Malyukova, Miroslav Lakhno

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THE EXPERIENCE OF NETWORKING POSTGRADUATE TRAINING PROGRAMMES by E. A. Teplyashina, M. M. Petrova, A. B. Salmina, O. S. Razvina

“…The presented experience allowed the authors to develop an integrated strategy of cooperation with foreign colleagues in this direction. …”
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Can Unilateral Strength Training Optimize Change of Direction Mechanics and Mitigate Anterior Cruciate Ligament Injury Risk in Female Soccer Players? A Preliminary Pre–Post Interve... by Alice Rogalski, Ayrton Moiroux-Sahraoui, Maria Stergiou, Maxence Pieulhet, Maurice Douryang, Florian Forelli

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Features of the Methods of Training Physical Exercises by Victor BUFTEA

“…Therefore, the requirements for the optimization, rationalization and improvement of the methods, methodical procedures, specific means, and the instructive-educational and developmental character at all stages of athlete training are also increasing. …”
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Computer Architecture for Industrial Training Evaluation by Luz E. Gutiérrez, Carlos A. Guerrero, Mark M. Betts, Daladier Jabba, Wilson Nieto, Héctor A. López-Ospina

“…The use of Augmented Reality (AR) has been one of the implemented strategies to upgrade training processes, since it optimizes, through User Interface (UI) Design, experiences designed for users (UX) that are focused on education and training contexts. …”
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Machine learning models for reinjury risk prediction using cardiopulmonary exercise testing (CPET) data: optimizing athlete recovery by Arezoo Abasi, Ahmad Nazari, Azar Moezy, Seyed Ali Fatemi Aghda

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Prospects for the Introduction of Artificial Intelligence Technologies in Higher Education by R. A. Amirov, U. M. Bilalova

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How do block training and circuit training affect physical fitness? A comparative study of futsal athletes by Mohammad Sabransyah, Asmutiar, Rajidin, Suriani Sari, Rubiyatno

“…Future research should explore comparisons with other conditioning methods, such as high-intensity interval training (HIIT) or plyometrics, to identify the most optimal training strategy. …”
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