The Development and Performance Assessment of Palm Kernel Nut Oil as a Cutting Fluid for the Turning of AA6061 by Omolayo M. Ikumapayi, Opeyeolu T. Laseinde, Rasaq A. Kazeem, Peter Onu, Tin T. Ting

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Hybrid Brushless Wound-Rotor Synchronous Machine with Dual-Mode Operation for Washing Machine Applications by Sheeraz Ahmed, Qasim Ali, Ghulam Jawad Sirewal, Kapeel Kumar, Gilsu Choi

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Interagir avec la « machine » à l’ère du numérique : des représentations des étudiants à l’évaluation de leur performance académique en anglais by Cédric Brudermann

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MLP-SVM: a hybrid approach for improving the performance of the classification model for health-related documents from social media using multi-layer perceptron and support vector... by Etana Fikadu, Teklu Urgessa, Mrinal Das

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Enhanced microstructures, mechanical properties, and machinability of high performance ADC12/SiC composites fabricated through the integration of a master pellet feeding approach a... by Kowit Ponhan, Porawit Jiandon, Komkrit Juntaracena, Charinrat Potisawang, Manwika Kongpuang

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Interactive Embodied Intelligence of Machines by Deyi Li

“…In the future, in addition to self enhancement, humans are expected to teach machines to learn and work. Scientists and engineers will collaborate with machines to accomplish invention, discovery, and creation. …”
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fNIRS, EEG, ECG, and GSR reveal an effect of complex, dynamically changing environments on cognitive load, affective state, and performance, but not physiological stress by Henrikke Dybvik, Henrikke Dybvik, Henrikke Dybvik, Christian Kuster Erichsen, Chris Snider, Martin Steinert

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Primer on Machine Learning in Electrophysiology by Shane E Loeffler, Natalia Trayanova

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Feasibility Analysis of Tamura Features in the Identification of Machined Surface Images Using Machine Learning and Image Processing Techniques by Raghavendra C. Kamath, G. S. Vijay, Ganesha Prasad, P. Krishnananda Rao, Uday Kumar Shetty, Gautham Parameshwaran, Aniket Shenoy, Prithvi Shetty

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Hydrogen Supplementation in SI Engines: Enhancing Efficiency and Reducing Emissions with a Focus on Knock Phenomena by Saugirdas Pukalskas, Alfredas Rimkus, Tadas Vipartas, Saulius Stravinskas, Donatas Kriaučiūnas, Gabrielius Mejeras, Andrius Ušinskas

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Comparative Analysis of Automated Machine Learning and Optimized Conventional Machine Learning for Concrete’s Uniaxial Compressive Strength Prediction by Chukwuemeka Daniel

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Predictive Models with Applicable Graphical User Interface (GUI) for the Compressive Performance of Quaternary Blended Plastic-Derived Sustainable Mortar by Aïssa Rezzoug, Ahmed A. Abdou Elabbasy, Muwaffaq Alqurashi, Ali H. AlAteah

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Comparing Cloud Mask Products for Seagrass Mapping Over Sentinel‐2 Imagery: Toward a First National Seagrass Map for Venezuela by Chengfa Benjamin Lee, Ana Carolina Peralta Brichtova, Mar Roca, Tylar Murray, Oswaldo David Bolivar Rodriguez, Daniele Cerra, Frank E. Muller‐Karger

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Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems by Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, Warna Karunasena, Hadi Nourizadeh, Shima Entezam, Shahab Hosseini, Naj Aziz

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The performance of the LSTM-based code generated by Large Language Models (LLMs) in forecasting time series data by Saroj Gopali, Sima Siami-Namini, Faranak Abri, Akbar Siami Namin

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Identification of potential dam sites for severe water crisis management in semi-arid fluoride contaminated region, India by Arijit Ghosh, Biswajit Bera

“…In this study, four advanced machine learning models namely support vector machine (SVM), random forest (RF), logistic regression (LR) and gradient boosting (XGBoost) have been applied to recommend suitable sites for dam construction. …”
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Calibrating F1 Scores for Fair Performance Comparison of Binary Classification Models With Application to Student Dropout Prediction by Hyeon Gyu Kim, Yoohyun Park

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Research of the Law and Control Method of Automatic Shift for Engineering Vehicle by Ying Chen

“…Improve the fuel economy of engineering vehicles, so that the overall energy saving effect of the whole machine is better. …”
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Optimization and prediction of corporate credit rating through advanced feature selection based on AI and deep learning by Jumanah Ahmed Darwish

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A comprehensive review on powder mixed electrical discharge machining: advances in dielectric enhancement and machining efficiency by Dharmendra Kumar, Vimal Kumar Pathak, Ramanpreet Singh, Mithilesh K. Dikshit

“…Based on the findings, potential research directions are suggested to enhance machining performance further and expand the scope of PMEDM in advanced manufacturing processes.…”
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