Information Collection, Analysis, and Monitoring System of Children’s Physical Training Based on Multisensor by Zhonglin Zhang, Jiajia Xu, Chenggen Peng, Yuping Chen

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Dynamic optimization of intersatellite link assignment based on reinforcement learning by Weiwu Ren, Jialin Zhu, Hui Qi, Ligang Cong, Xiaoqiang Di

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Optimizing winner determination for sustainability and timeliness in fresh agricultural product logistics service procurement auctions: insights from a fourth-party logistics persp... by Yi Zhou, Mingqiang Yin, Qiang Liu, Xiaohu Qian, Delong Jin, Xianming Lang

“…The first stage determines the winning 3PLs, while the second stage determines the transportation volume of the 3PLs based on the decision results in the first stage. …”
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Identify and Assess Hydropower Project’s Multidimensional Social Impacts with Rough Set and Projection Pursuit Model by Hui An, Wenjing Yang, Jin Huang, Ai Huang, Zhongchi Wan, Min An

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Multi-Intersection Signal Control Based on Asynchronous Reinforcement Learning by Jixiang Wang, Siqi Chen, Jing Wei, Boao Wang, Haiyang Yu

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Machine Learning-Assisted Mitigation of Optical Multipath Interference in PAM4 IM-DD Transmission Systems by Wenxin Cui, Jiahao Huo, Jin Zhu, Jianlong Tao, Peng Qin, Xiaoying Zhang, Haolin Bai

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

“…Finally, by introducing a DDPG algorithm, the path planning of a mobile robot in an unknown environment is described as a Markov decision process, and the optimal planning of the mobile robot’s continuous action space path is realized with a high success rate. …”
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Application of Linear Programming in Profit Maximization: A Case Study of Crunches Fried Chicken at Miami Tours and Travel Hotel in Kabale District. by Tayebwa, Osbert

“…The decision variables in the project work are the three different sizes of fried chicken on (tomatoes, onions and cooking oil) used in the production of fried chicken and amount of raw materials required for each variable. …”
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UAV spatiotemporal crowdsourcing resource allocation based on deep reinforcement learning by Yaxi LIU, Xulong LI, Jiahao HUO, Wei HUANGFU

“…Our results show that the SAC algorithm achieves faster convergence speed and better solutions than existing state-of-the-art methods, such as the twin delayed deep deterministic policy gradient (TD3) and the deep deterministic policy gradient (DDPG) algorithms. …”
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An Innovative Time-Cost-Quality Tradeoff Modeling of Building Construction Project Based on Resource Allocation by Wenfa Hu, Xinhua He

“…Building of a three-storey house is an example to illustrate the implementation of the model, demonstrate its advantages in optimizing trade-off of construction time, cost, and quality, and help make a winning decision in construction practices. …”
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Counterfactual choice and learning in a neural network centered on human lateral frontopolar cortex. by Erie D Boorman, Timothy E Behrens, Matthew F Rushworth

“…Although the neural system responsible for tracking the value of choices actually taken is increasingly well understood, whether a neural system tracks counterfactual information is currently unclear. Using a three-alternative decision-making task, a Bayesian reinforcement-learning algorithm, and fMRI, we investigated the coding of counterfactual choices and prediction errors in the human brain. …”
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Research on multi-objective hierarchical site selection coverage of fire station. by Junjie He, Xin Guan, Houjun Lu, Juntao Yang

“…To validate the effectiveness of the proposed model and algorithm, numerical experiments were performed, which took an urban area in China as an example. …”
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Using a Machine Learning Approach to Predict the Thailand Underground Train’s Passenger by Wuttipong Kusonkhum, Korb Srinavin, Narong Leungbootnak, Tanayut Chaitongrat

“…In addition, for this investigation, three classification methods were used: artificial neural network, random forest, and decision tree. …”
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Advancing Kidney Transplantation: A Machine Learning Approach to Enhance Donor–Recipient Matching by Nahed Alowidi, Razan Ali, Munera Sadaqah, Fatmah M. A. Naemi

“…A comprehensive evaluation was conducted using ten widely used classifiers (logistic regression, decision tree, random forest, support vector machine, gradient boosting, boost, CatBoost, LightGBM, naive Bayes, and neural networks) across three experimental scenarios to ensure a robust approach. …”
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Automatic Filtering of Sugarcane Yield Data by Eudocio Rafael Otavio da Silva, José Paulo Molin, Marcelo Chan Fu Wei, Ricardo Canal Filho

“…A three-step automated filtering algorithm based on a sliding window was developed and further evaluated with four configurations of the maximum variation factor <i>f</i> and six SW sizes. …”
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Identification of patients at risk of new onset heart failure: Utilizing a large statewide health information exchange to train and validate a risk prediction model. by Son Q Duong, Le Zheng, Minjie Xia, Bo Jin, Modi Liu, Zhen Li, Shiying Hao, Shaun T Alfreds, Karl G Sylvester, Eric Widen, Jeffery J Teuteberg, Doff B McElhinney, Xuefeng B Ling

“…A tree-boosting algorithm was used to model the probability of incident-HF in year two from data collected in year one, and then validated in year three. 5,668 of 521,347 patients (1.09%) developed incident-HF in the validation cohort. …”
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Physical property-aware multi-UAV spatial coordination for energy-efficient mobile edge computing by Fengling Huang, Xuqi Su, Quanbao Wang, Fusen Guo

“…This algorithm utilizes three distinct mutation strategies and integrates an external archiving mechanism to optimize both the number and locations of UAV Task Points (TPs). …”
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MINIMIZING THE MULTILEVEL REPRESENTATIONS OF SYSTEMS OF BOOLEAN FUNCTIONS BASED ON SHANNON DECOMPOSITION by P. N. Bibilo, Y. Y. Lankevich

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A Searching Method of Candidate Segmentation Point in SPRINT Classification by Zhihao Wang, Junfang Wang, Yonghua Huo, Yanjun Tuo, Yang Yang

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Efficiently computing Pareto optimal G-skyline query in wireless sensor network by Leigang Dong, Guohua Liu, Xiaowei Cui, Quan Yu

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