A GD-PSO Algorithm for Smart Transportation Supply Chain ABS Portfolio Optimization by Yingjia Sun, Hongfeng Ren

“…Different from forward selection or linear optimization, which could have low efficiency for complicated problems with large sample size and multiple objectives, new methods and algorithms for NP-hard problems would be necessary to be investigated. …”
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AquaYOLO: Advanced YOLO-based fish detection for optimized aquaculture pond monitoring by M. Vijayalakshmi, A. Sasithradevi

“…However, traditional methods of monitoring aquatic environments are time-consuming and labor-intensive. …”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

“…K-Means++ is a smart initialization technique that selects clusters based on probability function so that they are further away from each other. Two methods, Elbow Analysis, and Silhouette Score, have been used to find the optimal value of k. …”
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Application and Research of Left Bundle Branch-Optimized Cardiac Resynchronization Therapy in Ischemic Cardiomyopathy by Denghong Zhang, Mingjian Lang, Benjamin Samraj Prakash Earnest, Ihab Elsayed Mohamed Ali Abdou

“…Methods: A total of 78 patients with ischemic cardiomyopathy who underwent pacemaker implantation at a single center between March 2020 and March 2022 were randomly assigned to two groups based on different pacing methods: LOT-CRT group (n = 39) and biventricular pacing (BVP) group (n = 35). …”
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Reinforcement Learning for Optimizing Renewable Energy Utilization in Buildings: A Review on Applications and Innovations by Panagiotis Michailidis, Iakovos Michailidis, Elias Kosmatopoulos

“…The current review systematically examines RL-based control strategies applied in BEMS frameworks integrating RES technologies between 2015 and 2025, classifying them by algorithmic approach and evaluating the role of multi-agent and hybrid methods in improving real-time adaptability and occupant comfort. …”
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A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model by Shaoyu Zhao, Heming Jia, Yongchao Li, Qian Shi

“…Additionally, state-specific optimal individual selection methods are introduced, allowing the auxiliary population to escape local optima and accelerate exploration. …”
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Sustainable energy: Advancing wind power forecasting with grey wolf optimization and GRU models by Zainab Al-Ibraheemi, Samaher Al-Janabi

“…This paper introduces a novel method that combines the Grey Wolf Optimization (GWO) algorithm with data compression techniques to enhance feature selection and reduce redundancy in wind speed prediction. …”
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Formative research to optimize pre-eclampsia risk-screening and prevention (PEARLS): study protocol by Nicole Minckas, Alim Swarray-Deen, Sue Fawcus, Rosa Chemwey Ndiema, Annie McDougall, Jennifer Scott, Samuel Antwi Oppong, Ayesha Osman, Alfred Onyango Osoti, Katherine Eddy, Mushi Matjila, George Nyakundi Gwako, Joshua P. Vogel, A. Metin A. Gülmezoglu, Adanna Uloaku Nwameme, Meghan A. Bohren, the PEARLS Trial collaborative group

“…Methods We will employ qualitative and quantitative methods to identify factors that may influence trial implementation. …”
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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…The study evaluates the proposed architecture’s performance using aerial drone data, focusing on efficiency and accuracy compared to existing methods.…”
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Establishment and Test Effect of Artificial Intelligence Optimization Model Based on Convolutional Neural Network by Chunrong Zhou, Zhenghong Jiang

“…In addition, the authors optimized the convolutional layer, pooling layer, and loss function of AL-CNN in different parameters, which improved the stability of noise processing, respectively. …”
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Risk-Adjusted Deep Reinforcement Learning for Portfolio Optimization: A Multi-reward Approach by Himanshu Choudhary, Arishi Orra, Kartik Sahoo, Manoj Thakur

“…Abstract Portfolio optimization is a widely studied topic in quantitative finance. …”
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Study of the Effect of Temperature on the Production of Carrageenan-Based Buccal Films and Optimization of the Process Parameters by Katalin Kristó, Anahita Sangestani, Alharith A. A. Hassan, Hala Rayya, Krisztián Pamlényi, András Kelemen, Ildikó Csóka

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Optimized needle configuration for operational seed (ONCOSEED) efficiency and deployment for prostate seed implants by Siddhant Sen, Ethan Stolen, Jaehee Chun, Jin Sung Kim, James J. Sohn

“…Specifically, upon taking a second ultrasound on the day of treatment, the distribution of seeds and needles will differ drastically from the original plan. Clinics that employ this method must then spend time and resources to generate a workflow to manipulate the original configuration to the new configuration. …”
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Optimizing corn yield prediction: Integrating multi-temporal UAS data and machine learning by Huihui Zhang, Yuting Zhou, Shengfang Ma, Kevin Yemoto

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A similarity-based multi-objective test optimization technique using search algorithm by Amir Sohail Habib, Saif Ur Rehman Khan, Shahid Hussain, Naseem Ibrahim, Habib un Nisa, Abdullah Yousafzai

“…However, existing approaches lack in finding the global optimal solution and are mostly focused on the single-objective test optimization problem. …”
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Dynamics of biologically active compounds and antioxidant activity of coffee during cold extraction at different temperatures by L. P. Nilova, S. M. Malyutenkova, V. R. Tverskoy

“…The Methods. Extraction was carried out for 24 hours in two versions differing in the temperature of the water for extraction (+20 °C and +4 °C). …”
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Analysis and Optimization on Transmission Accuracy of Shoulder Joint Reducer for an Upper Limb Rehabilitation Robot by Zou Shuaidong, Wang Guangjian, Xie Guanghui, Hou Jingming, Yang Renqiang, Sun Fanwei

“…Considering the main factors of transmission errors caused by machining and assembly errors, the analytical calculation model of transmission errors of the planetary reducer with small tooth number difference is established based on the mesh line increment method. …”
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Graph reinforcement learning-driven source-load cooperative scheduling optimization for textile production by Tianhao Tan, Tao Wu, Jie Li, Yuyuan Lan, Jinsong Bao

“…This research proposes a graph reinforcement learning-driven source-load collaborative optimization method. Based on a domain knowledge graph fusing textile production processes, equipment status, and energy consumption relationships, the method explicitly characterizes the heterogeneous correlation of the source-load system. …”
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Segmented Time Study and Optimization Strategy for Clinical Application of Ethos Online Adaptive Radiotherapy by Dandan ZHANG, Yuhan KOU, Shilong ZHU, Xiaoyu LIU, Meng NING, Peichao BAN, Jinyuan WANG, Changxin YAN, Zhongjian JU

“…MethodsThe study involved 61 patients with cervical, rectal, gastric, lung, esophageal, and breast cancers who underwent Ethos OART. …”
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Structural optimization and thermal performance analysis of minichannel heat Sinks: A numerical approach by Danzhu Ma, Zihao Shao, Zhuang Li, Weiwei Jian

“…The development characteristics of modern electronic devices with high integration and high heat flow density make their heat dissipation demand and difficulty increase continuously, and the traditional heat dissipation methods are difficult to meet the heat dissipation demand of high heat flow chips. …”
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