Finding an Optimal Geometric Configuration for TDOA Location Systems With Reinforcement Learning by Shengxiang Li, Guangyi Liu, Siyuan Ding, Haisi Li, Ou Li

“…The empirical results show that, the learner mastered useful strategies and navigated to optimal geometric configurations efficiently. …”
Get full text

Roadway roof stability grading method based on multi-index optimization by Xiaoqiang Xue, Wei Du, Jian Cui, Wenxing Zhang

Get full text

Intelligent anti-jamming decision algorithm based on proximal policy optimization by MA Song, LI Li, LI Wei, HUANG Wei, WANG Jun

“…The ground station conducted the optimal offline training based on the empirical information feedback from the vehicles, and assisted the decision-making neural network in parameter updating, thereby achieving the effective selection of anti-jamming strategies while satisfying the resource constraints of the vehicles. …”
Get full text

Securing federated learning: a defense strategy against targeted data poisoning attack by Ansam Khraisat, Ammar Alazab, Moutaz Alazab, Tony Jan, Sarabjot Singh, Md. Ashraf Uddin

Get full text

Optimized YOLOv8 for enhanced breast tumor segmentation in ultrasound imaging by Ayman Mohamed Mostafa, Alaa S. Alaerjan, Bader Aldughayfiq, Hisham Allahem, Alshimaa Abdelraof Mahmoud, Wael Said, Hosameldeen Shabana, Mohamed Ezz

Get full text

Optimizing binary neural network quantization for fixed pattern noise robustness by Francisco Javier Andreo-Oliver, Gines Domenech-Asensi, Jose Angel Diaz-Madrid, Ramon Ruiz-Merino, Juan Zapata-Perez

Get full text

Predictive Models for Environmental Perception in Multi-Type Parks and Their Generalization Ability: Integrating Pre-Training and Reinforcement Learning by Kangen Chen, Tao Xia, Zhoutong Cao, Yiwen Li, Xiuhong Lin, Rushan Bai

“…Further analysis shows that pre-training enhances the robust fusion of visual and textual features, while reinforcement learning optimizes the sample selection and feature fusion strategies during training.…”
Get full text

Indonesian Banking Stock Portfolio Optimization Based on Ridge Regression Prediction by Moch Panji Agung Saputra, Deva Putra Setyawan, Alim Jaizul Wahid

“…The Ridge-based portfolio strategy achieves identical performance to the historical optimal strategy with an annualized return of 10.64% and a Sharpe ratio of 0.4705, significantly outperforming the equal-weight strategy (return of 6.63%, Sharpe ratio of 0.2562). …”
Get full text

Optimizing Batik MSMEs through the implementation of green economy and sustainable digitalization by Ufi Rumefi, Harfiahani Indah Rakhma Ningtyas, Wildan Maualim

Get full text

Multi-Attribute Collaborative Optimization for Multimodal Transportation Based on User Preferences by Youpeng Lu, Gang Gao

“…By replacing the traditional gradient estimation strategy with a random mutation strategy based on probability distribution, the local search mechanism of AFO is enhanced. …”
Get full text

Clinical skills boot camp in a program to train healthcare professionals to provide primary care to underserved communities by Robin Pugh Yi, Helen Wu, Kenia Mansilla-Rivera, Biju Wang, Petra Clark-Dufner, Bruce Gould

“…Early intensive training in basic clinical knowledge can ensure students begin programs with shared basic knowledge, which can facilitate skills in delivering team-based care, a key strategy for optimizing primary healthcare workforce capacity and efficiency. …”
Get full text

IMPACT OF EXPERIMENTAL TEACHING METHOD “LANGUAGE THROUGH SPORT” ON MOTIVATIONAL STRATEGIES OF WEIGHTLIFTING SPECIALISTS by Е. Mileva, V. Slavova, N. Yankova, V. Panayotov

Get full text

A systematic review of cheerleading injuries: epidemiological characteristics, biomechanical mechanisms, and prevention strategies by Chenliang Deng, Qiaoyan Yu

“…Ankles (44.9%) and wrists/hands (19.3%) are most vulnerable due to joint overload and imbalance during tosses, stunts, and braces, with lumbar injuries directly linked to excessive training intensity and poor technique. Prevention strategies should integrate closed-chain eccentric training with Kohonen neural network-based action safety assessment, alongside strengthened rule restrictions (e.g., mandatory use of specialized mats, prohibited hard-surface practice) and personnel qualification management.ConclusionCheerleading injury prevention requires a multidimensional strategy: Implement biomechanical interventions (closed-chain eccentric training and movement technique optimization) to enhance muscle endurance and action control precision; Promote rule optimization and coach certification, establishing standardized difficulty criteria for each level and a risk factor–based assessment and prevention system; Develop pediatric protection standards and professional training systems, and pay attention to monitoring and recovering from excessive fatigue.…”
Get full text

A Comprehensive Approach to Instruction Tuning for Qwen2.5: Data Selection, Domain Interaction, and Training Protocols by Xungang Gu, Mengqi Wang, Yangjie Tian, Ning Li, Jiaze Sun, Jingfang Xu, He Zhang, Ruohua Xu, Ming Liu

“…To mitigate these measured conflicts, we compare multi-task, sequential, and multi-stage training strategies, revealing that multi-stage training significantly reduces Conflict Rates while preserving domain expertise. …”
Get full text

Genomic information in the decision-making process for the training of a high-performance brazilian swimmer: a case report by Ricardo Muller Bottura, Ricardo Muller Bottura, Ricardo Muller Bottura, Daniel Blasioli Dentillo

“…The athlete had a consistent competitive history but sought optimized training strategies to enhance performance and secure a top position in national and international competitions. …”
Get full text

The Role of High-Intensity Interval Training (HIIT) in Neuromuscular Adaptations: Implications for Strength and Power Development—A Review by Chi-Hsiang Hung, Chun-Hsien Su, Dong Wang

“…Effective periodization and recovery strategies, including active recovery and targeted nutrition, help mitigate fatigue and optimize adaptations. …”
Get full text

Non-variational quantum random access optimization with alternating operator ansatz by Zichang He, Rudy Raymond, Ruslan Shaydulin, Marco Pistoia

“…We show that instance-independent “fixed” parameters achieve good performance, removing the need for variational parameter optimization. Additionally, we evaluate different design choices, such as various mixers, initial states, and QRAO-specific implementations of the QAOA cost operator, and identify a strategy that performs well in practice. …”
Get full text

Recent Advances in Optimization Methods for Machine Learning: A Systematic Review by Xiaodong Liu, Huaizhou Qi, Suisui Jia, Yongjing Guo, Yang Liu

“…These methods underpin core ML tasks including model training, hyperparameter tuning, and feature selection. …”
Get full text

The Voice of Employers – their Suggestions for Optimizing the Relationship between the University and the Labor Market by Venera-Mihaela Cojocariu, Marcela-Cornelia Danu, Elena Nechita, Cristina Cîrtiță-Buzoianu, Gabriel Mareș

Get full text

Design and Dimension Optimization of Rigid–Soft Hand Function Rehabilitation Robots by Rui Zhang, Meng Ning, Yuqian Wang, Jun Yang

“…Hierarchical constraint modeling and an improved artificial bee colony algorithm optimize linkage dimensions and control strategies, achieving enhanced human–robot kinematic matching. …”
Get full text