Design of a Thermal Performance Test Equipment for a High-Temperature and High-Pressure Heat Exchanger in an Aero-Engine by Wongeun Yun, Manyeong Ha, Kuisoon Kim, Geesoo Lee

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Study the Effect of Mathanol Alcohol Addition on Performance and Emitted Noise of Single Cylinder Spark Ignition Engine by Adel Mahmood Salih, Hussain Ali Ahmed

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Using Serious Game Techniques with Health Sciences and Biomedical Engineering Students: An Analysis Using Machine Learning Techniques by María Consuelo Sáiz-Manzanares, Raúl Marticorena-Sánchez, María Camino Escolar-Llamazares, Irene González-Díez, Rut Velasco-Saiz

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Design and Experiment of Automatic Fish Bleeding Machine by Shi Xiong, Lin He, Qiang Wei, Lijun Gou, Yunyun Feng, Qiaojun Luo

“…The positional triggering mechanism was engineered through kinematic and dynamic analyses of fish sliding trajectories onto the trigger plate, informed by morphological parameters of fish specimens. …”
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Study on Design Innovation of Three-Dimensional Calligraphy Products Through Integrated Reverse Engineering and CNC Machining Techniques by Ahmad Amin Azmi Jaludin, Mohd Salman Abu Mansor

“…This paper presents an alternative method of producing 3D calligraphy products that have been created using integrated modern technologies, specifically reverse engineering and CNC machining. Traditionally, calligraphy is performed by hand on any suitable medium, such as on a wall or even on wood, which has drawbacks, i.e., it is time consuming and requires an original drawing or blueprint. …”
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Machine Learning for Decision Support and Automation in Games: A Study on Vehicle Optimal Path by Gonçalo Penelas, Luís Barbosa, Arsénio Reis, João Barroso, Tiago Pinto

“…In the field of gaming artificial intelligence, selecting the appropriate machine learning approach is essential for improving decision-making and automation. …”
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Method and Application of Deformation Performance Evaluation for Complex Components Based on Machine Learning by Guo Dawen, Zheng Jiakai, Du Jian, Ma Yuhong, Zhang Mengyue, Wang Jian

“…ObjectiveBased on the issues of high experimental costs, difficulties in quantifying evaluation methods, and low assessment accuracy in deformation performance studies of complex structural components, a machine learning-based method for evaluating component deformation performance was proposed. …”
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Estimation of the compressive strength of ultrahigh performance concrete using machine learning models by Rakesh Kumar, Divesh Ranjan Kumar, Warit Wipulanusat, Chanachai Thongchom, Pijush Samui, Baboo Rai

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Securing Electric Vehicle Performance: Machine Learning-Driven Fault Detection and Classification by Mahbub Ul Islam Khan, Md. Ilius Hasan Pathan, Mohammad Mominur Rahman, Md. Maidul Islam, Mohammed Arfat Raihan Chowdhury, Md. Shamim Anower, Md. Masud Rana, Md. Shafiul Alam, Mahmudul Hasan, Md. Shohanur Islam Sobuj, Md. Babul Islam, Veerpratap Meena, Francesco Benedetto

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Machine Learning-Assisted Prediction of Ambient-Processed Perovskite Solar Cells’ Performances by Dowon Pyun, Seungtae Lee, Solhee Lee, Seok-Hyun Jeong, Jae-Keun Hwang, Kyunghwan Kim, Youngmin Kim, Jiyeon Nam, Sujin Cho, Ji-Seong Hwang, Wonkyu Lee, Sangwon Lee, Hae-Seok Lee, Donghwan Kim, Yoonmook Kang

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Evaluating the Performance of Python-Based Machine Learning in Earthquake-Resistant Building Design by Sameh Fuqaha, Guntur Nugroho

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Performance Improvement of Brushless Wound Rotor Vernier Motor for Washing Machine Applications by Kapeel Kumar, Qasim Ali, Sheeraz Ahmed, Muhammad Humza, Abdul Aziz Memon, Mudassir Raza Siddiqi

“…The proposed BLWRVM utilizes a different winding configuration that enhances the performance compared to the existing reference machine. …”
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Review of Design Freedom Offered by Additive Manufacturing for Performance Enhancement of Electrical Machine by Zahoor Ahmad, Ants Kallaste, Toomas Vaimann, Muhammad Usman Naseer, Shahid Hussain, Anton Rassolkin

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Evaluating the Thermohydraulic Performance of Microchannel Gas Coolers: A Machine Learning Approach by Shehryar Ishaque, Naveed Ullah, Sanghun Choi, Man-Hoe Kim

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Determination of technical and operating performance of road machines based on analysis of the scope of work by Grushetsky S.M., Evtyukov S.A., Repin S.V., Kuznecov A.A.

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BIM-Based Machine Learning Application for Parametric Assessment of Building Energy Performance by Panagiotis Tsikas, Athanasios Chassiakos, Vasileios Papadimitropoulos, Antonios Papamanolis

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Investigation of enhancing EDM machining performance of INCONEL alloy using composite electrodes by Shabarinathan KT, Senthilkumar K, Kathiravan N, Udhayachandran RM

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SEGYM: A Novel Electrified Weight Machine for Performing Free-Weight Training by Jangyeon Park, Keeung Yoo, Dongwan Choi, Jungsu Choi

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Carbon additives to improve polymer performance in energy applications using machine learning by Juan Chen, Khidhair Jasim Mohammed, Elimam Ali, Riadh Marzouki

“…Feature importance analysis revealed that carbon fiber length and input voltage were the dominant factors influencing thermal-electrical performance. The model was also used to simulate untested CF–voltage configurations, identifying optimal engineering windows (e.g., 4.5 mm CF at 11 V) that balanced high heating efficiency with manageable power consumption. …”
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High-Performance Real-Time Human Activity Recognition Using Machine Learning by Pardhu Thottempudi, Biswaranjan Acharya, Fernando Moreira

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