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

“…Based on the analytical model of shoulder joint transmission accuracy, the output torque fluctuation caused by transmission error is analyzed and particle swarm optimization algorithm is adopted to optimize transmission accuracy under the condition of constant machining accuracy, so as to improve the output torque fluctuation caused by transmission error of the shoulder joint of the upper limb rehabilitation robot to avoid the secondary injury of the patients.…”
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Comparative analysis of FACT devices for optimal improvement of power quality in unbalanced distribution systems by Ahmed M. Elkholy, Dmitry I. Panfilov, Ahmed E. ELGebaly

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Optimized deep residual networks for early detection of myocardial infarction from ECG signals by Pon Bharathi A, Madavan R, Sakthivel E

“…This indicates the devised model has high detection accuracy, which could be embedded in real-time clinical settings like hospital ECG machines, wearable ECG monitors, and mobile health applications. …”
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Minimization of Power Loss as a Design Criterion for the Optimal Synthesis of Loader Drive Mechanisms by Jovan Pavlović, Vesna Jovanović, Dragan Marinković, Dragoslav Janošević, Žarko Ćojbašić

“…As energy efficiency becomes a significant performance indicator in mobile machines, power losses are recognized as an important criterion in the design and optimization of these systems. …”
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Data Mining Techniques for Early Detection and Classification of Plant Diseases: An Optimization-Based Approach by Wagh Swapnil, Sharma Ruchi

“…Furthermore, low-level optimization techniques like genetic algorithms as well as particle swarm optimization are used to fine tune the specific model parameters and to reduce the computational overhead for improving the detection efficacy still more. …”
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AI-Driven Digital Twins for Enhancing Indoor Environmental Quality and Energy Efficiency in Smart Building Systems by Ibrahim Yitmen, Amjad Almusaed, Muaz Hussein, Asaad Almssad

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Examining Customer Satisfaction Through Transformer-Based Sentiment Analysis for Improving Bilingual E-Commerce Experiences by Shizhong Shan, Jin Sun, Remson Mark C. Macawile

“…Using sentiment intensity analysis, N-gram modeling, and machine learning, this research attempted to evaluate the performance of these models: ELECTRA, BERT, BiLSTM, Random Forest with XGBoost, and SVC with SGD. …”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

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Advancing Sentiment Analysis for Low-Resource Languages Using Fine-Tuned LLMs: A Case Study of Customer Reviews in Turkish Language by Rukiye Savran Kiziltepe, Ercan Ezin, Omer Yentur, Arwa M. Basbrain, Murat Karakus

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Sustainable Mineral Processing Technologies Using Hybrid Intelligent Algorithms by Olga Shiryayeva, Batyrbek Suleimenov, Yelena Kulakova

“…A hybrid intelligent control system was developed to beneficiate fine chromite ore in a jigging machine. The objective is to enhance separation efficiency and reduce chromium losses through real-time optimization of process parameters under variable feed conditions. …”
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A Wi-Fi RSS-RTT Indoor Positioning Model Based on Dynamic Model Switching Algorithm by Xu Feng, Khuong An Nguyen, Zhiyuan Luo

“…To address this challenge, we propose an algorithm that dynamically selects the most optimal Wi-Fi positioning model for each location. …”
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Nitrous oxide prediction through machine learning and field-based experimentation: A novel strategy for data-driven insights by Muhammad Hassan, Khabat Khosravi, Travis J. Esau, Gurjit S. Randhawa, Aitazaz A. Farooque, Seyyed Ebrahim Hashemi Garmdareh, Yulin Hu, Nauman Yaqoob, Asad T. Jappa

“…These model were benchmarked against a support vector regression (SVR) model. …”
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Optimasi Parameter Support Vector Machine Dengan Algoritma Genetika Untuk Analisis Sentimen Pada Media Sosial Instagram by I Putu Dedy Wira Darmawan, Gede Aditra Pradnyana, Ida Bagus Nyoman Pascima

“…The problem faced in using the kernel is to choose the optimal parameters for the classification model to produce a good classification model. …”
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An Improved Hybrid Ant Colony Optimization and Genetic Algorithm for Multi-Map Path Planning of Rescuing Robots in Mine Disaster Scenario by Jingrui Zhang, Zhenhong Xu, Houde Liu, Xiaojun Zhu, Bin Lan

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Discovery of ultra-high strength aluminum alloys with high damage tolerance via interpretable chain-based machine learning by Lei Jiang, Xinbiao Zhang, Wentao Zhoutai, Zhilin Han, Minghong Mao, Wenli Xue, Jianxin Xie

“…This study proposes an interpretable chain-based machine learning (ICML) strategy for designing ultra-high strength aluminum alloys with high damage tolerance. …”
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General Principles of Combinations of Stator Poles and Rotor Teeth for Conventional Flux-Switching Brushless Machines with Prime Phase Numbers by Chuhan Gao, Xinran Jia, Guishu Zhao, Wei Hua, Ming Cheng

“…In order to achieve the optimal stator–rotor combinations of conventional flux-switching permanent magnet (FSPM) machines, this paper proposes and analyzes a general principle with prime phase numbers. …”
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Design and Testing of Film Picking–Unloading Device of Tillage Residual Film Recycling Machine Based on DEM Parameter Calibration by Weiquan Fang, Xinzhong Wang, Dianlei Han, Israel Enema Ohiemi

“…This study calibrates DEM parameters for the soil-touching components of a tillage residual film recycling machine. A film-picking model for elastic tooth–soil–residual film interactions was established. …”
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Machine Learning in the Design Decision-Making of Traditional Garden Space Renewal: A Case Study of the Classical Gardens of Jiangnan by Lina Yan, Liang Zheng, Xingkang Jia, Yi Zhang, Yile Chen

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Predicting car accident severity in Northwest Ethiopia: a machine learning approach leveraging driver, environmental, and road conditions by Abraham Keffale Mengistu, Andualem Enyew Gedefaw, Nebebe Demis Baykemagn, Agmasie Damtew Walle, Tirualem Zeleke Yehuala, Meron Asmamaw Alemayehu, Mengistu Abebe Messelu, Bayou Tilahun Assaye

“…Hyperparameter tuning and Shapley Additive explanations (SHAP) provided model optimization and interpretability. Random Forest outperformed other models, achieving 82% accuracy (AUC-ROC: 0.87) post-tuning. …”
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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

“…Furthermore, Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) used for model optimization. …”
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