Advanced predictive machine and deep learning models for round-ended CFST column by Feng Shen, Ishan Jha, Haytham F. Isleem, Walaa J.K. Almoghayer, Mohammad Khishe, Mohamed Kamel Elshaarawy

“…The primary objective of this study is to develop accurate, data-driven approaches for predicting the axial load-carrying capacity (P cc​) of these columns and to benchmark their performance against existing analytical solutions. Using an extensive dataset of 200 CFST stub column tests, this research evaluates three machine learning (ML) models – LightGBM, XGBoost, and CatBoost – and three deep learning (DL) models – Deep Neural Network (DNN), Convolutional Neural Network (CNN), and Long Short-Term Memory (LSTM). …”
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Electrochemical micromachining of galvanized iron sheets: process optimization and performance evaluation by Nadanasabapathi Sivashankar, Kadhiresan Santhanam, Shikandar Prasad, Mamidala Jawahar, Rajasekaran Thanigaivelan

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Air Pollution Monitoring Using Cost-Effective Devices Enhanced by Machine Learning by Yanis Colléaux, Cédric Willaume, Bijan Mohandes, Jean-Christophe Nebel, Farzana Rahman

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Performance Analysis and Optimisation During Machining of Al-ZrB2 Reinforcement-Based Metal Matrix Nanocomposites Using Coated and Uncoated Insert by Seema V. Yerigeri, Vaijanath V. Yerigeri

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Enhanced Prediction of California Bearing Ratio (CBR) Values in Geotechnical Engineering Using Decision Tree Algorithm and Meta-Heuristic Optimizations by Linda Davies, Dominik Jánošík

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The Heat Exchanger Performance of Shell and Multi Tube Helical Coil as a Heater through the Utilization of a Diesel Machine’s Exhaust Gas by . Zainuddin, Jufrizal Nurdin, Eswanto Is

“…The type of Diesel machine to use in the testing is 4FB1 Isuzu Diesel engine. …”
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Transferability Evaluation in Wi-Fi Intrusion Detection Systems Through Machine Learning and Deep Learning Approaches by Saud Yonbawi, Adil Afzal, Muhammad Yasir, Muhammad Rizwan, Natalia Kryvinska

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Flight-Safe Inference: SVD-Compressed LSTM Acceleration for Real-Time UAV Engine Monitoring Using Custom FPGA Hardware Architecture by Sreevalliputhuru Siri Priya, Penneru Shaswathi Sanjana, Rama Muni Reddy Yanamala, Rayappa David Amar Raj, Archana Pallakonda, Christian Napoli, Cristian Randieri

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Internal combustion engine acoustic diagnostics by V. D. Gabidulin

“…Introduction. To ensure stable performance of transport and technological machines, constant monitoring of their technical condition is necessary. …”
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Investigating the Capabilities of Ensemble Machine Learning Model in Identifying Near-Fault Pulse-Like Ground Motions by Jafar Al Thawabteh, Jamal Al Adwan, Yazan Alzubi, Ahmad Al-Elwan

“…This study applies various ensemble machine learning models, such as random forests, gradient boosting machines, and extreme gradient boosting, for the identification and characterization of pulse-like ground motions. …”
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Art of Engineering Inspired by Nature by saeed mashayekh faridani

“…Indeed nature is the ultimate art of engineering and perfect architectural and building model. …”
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Explaining basketball game performance with SHAP: insights from Chinese Basketball Association by Yan Ou-Yang, Wei Hong, Liming Peng, Cheng-Xi Mao, Wen-Jia Zhou, Wei-Tao Zheng, Quan Wang, Feng Qi, Xue-Wei Li, Shi-Huan Chen, Ce Xu, Yu-Fan Wang

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An Extensive Investigation on Intelligent-Based Control Techniques for the Performance Improvement in Multilevel Inverters by N. Subramanian, Albert Alexander Stonier

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Performance of new cutting tool multilayer coatings for machining Ti-6Al-4V titanium alloy under cryogenic cooling conditions by Y. Zhang, J.C. Outeiro, C. Nouveau, B. Marcon, L.A. Denguir

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Evaluation of the Performance of Unsupervised Learning Algorithms for Intrusion Detection in Unbalanced Data Environments by Gutierrez-Portela Fernando, Almenares Mendoza Florina, Calderon-Benavides Liliana

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Accelerated composition-process-properties design of precipitation-strengthened copper alloys using machine learning based on Bayesian optimization by Longjian Li, Jinchuan Jie, Xiaoyu Guo, Gaojie Liu, Huijun Kang, Zongning Chen, Enyu Guo, Tongmin Wang

“…Designing new alloys with high performance is challenging due to the large search space for composition and process parameters. …”
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A Comparative Analysis of Machine Learning Techniques for Predicting the Performance of Microchannel Gas Coolers in CO₂ Automotive Air-Conditioning Systems by Shehryar Ishaque, Naveed Ullah, Man-Hoe Kim

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To the issue of optimising the performance of a scroll compressor as part of a CO2 booster refrigerating machine in order to increase its efficiency by V. A. Pronin, A. V. Kovanov, V. A. Tsvetkov, E. N. Mikhailova, P. A. Belov

“…When considering the prospect of improving the efficiency of a booster system with scroll compressor, it is necessary to address the issue of compressor performance optimisation. An issue of this kind can be referred to improving the efficiency of the booster system, at the expense of the internal characteristics of the refrigeration machine.Result. …”
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Predicting task performance in robot-assisted surgery using physiological stress and subjective workload: a case study with interpretable machine learning by Kaiqi Wei, Chika Kimura, Megumi Shimura, Yoshihiro Shimomura, Xue Zhao, Takaaki Tamura, Shinichi Sakamoto

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Exploring high-performance environmental barrier coatings for rare earth silicates: A combined approach of first principles calculations and machine learning by Yun Fan, Yuelei Bai, Zhiyao Lu, Zhaoxu Sun, Yuchen Liu, Simiao Sha, Yiran Li, Bin Liu

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