Machine learning assisted design of low-carbon aluminosilicate cementitious composites with diverse raw materials and target mechanical strength by Jinyang Jiang, Yi Liu, Junlin Lin, Tao Yang, Fengjuan Wang

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Comparison and general law research of multiple machine-learning models for proton exchange membrane electrolytic cell parameters prediction by Yukun Wang, Hai-Wen Li, Wenhan An, Yudong Mao, Kaimin Yang, Jiying Liu

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Comparative Study of Dual-Stator Permanent Magnet Machines with Different PM Arrangements and Rotor Topologies for Aviation Electric Propulsion by Minchen Zhu, Lijian Wu, Dongliang Liu, Yiming Shen, Rongdeng Li, Hui Wen

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Predicting at-risk students in the early stage of a blended learning course via machine learning using limited data by Zahra Azizah, Tomoya Ohyama, Xiumin Zhao, Yuichi Ohkawa, Takashi Mitsuishi

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Adaptive and Scalable Database Management with Machine Learning Integration: A PostgreSQL Case Study by Maryam Abbasi, Marco V. Bernardo, Paulo Váz, José Silva, Pedro Martins

“…The increasing complexity of managing modern database systems, particularly in terms of optimizing query performance for large datasets, presents significant challenges that traditional methods often fail to address. …”
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MLCRP: ML-Based GPU Cache Performance Modeling Featured With Reuse Profiles by Minjung Cho, Eui-Young Chung

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Advancing Aviation Safety Through Predictive Maintenance: A Machine Learning Approach for Carbon Brake Wear Severity Classification by Patsy Jammal, Olivia Pinon Fischer, Dimitri N. Mavris, Gregory Wagner

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Machine Learning-Based Acoustic Analysis of Stingless Bee (<i>Heterotrigona itama</i>) Alarm Signals During Intruder Events by Ashan Milinda Bandara Ratnayake, Hartini Mohd Yasin, Abdul Ghani Naim, Rahayu Sukmaria Sukri, Norhayati Ahmad, Nurul Hazlina Zaini, Soon Boon Yu, Mohammad Amiruddin Ruslan, Pg Emeroylariffion Abas

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Machine Learning-Based Surface Roughness Prediction in Turning of Hardened AISI 4340 Steels: Incorporating Tool Wear via Cutting Length by A. Ginting, M.S. Kasim, B.T. Hang Tuah Baharudin

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Meta learner-based optimization for antenna efficiency prediction and high-performance THz MIMO antenna applications by Md. Ashraful Haque, Md. Kawsar Ahmed, Geamel Alyami, Kamal Hossain Nahin, Md Sharif Ahammed, Akil Ahmad Taki, Narinderjit Singh Sawaran Singh, Md Afzalur Rahman, Liton Chandra Paul, Hussein Shaman

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The integration of explainable AI in Educational Data Mining for student academic performance prediction and support system by Md. Mahmudul Islam, Farhad Hossain Sojib, Md. Fazle Hasan Mihad, Mahmudul Hasan, Mahfujur Rahman

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Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

“…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
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Simulation Based Performance Assessment of Developing Heterarchical Control for a Flexible Assembly System by Ismayyir Dhuha Kadhim, AL-Khafaji Mohanned.M.H., Dawood Lamyaa M.

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AI-driven development of high-performance solid-state hydrogen storage by Guoqing Wang, Zongmin Luo, Halefom G. Desta, Mu Chen, Yingchao Dong, Bin Lin

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Revolutionizing Battery Longevity by Optimising Magnesium Alloy Anodes Performance by Bankole I. Oladapo, Mattew A. Olawumi, Francis T. Omigbodun

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Analysis and modeling of COVID-19 epidemic dynamics in Saudi Arabia using SIR-PSO and machine learning approaches by Rafat Zrieq, Sahbi Boubaker, Souad Kamel, Mohamed Alzain, Fahad D. Algahtani

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Leveraging Machine Learning for Optimized Mechanical Properties and 3D Printing of PLA/cHAP for Bone Implant by Francis T. Omigbodun, Norman Osa-Uwagboe, Amadi Gabriel Udu, Bankole I. Oladapo

“…Furthermore, this study integrates machine learning techniques to predict the mechanical properties of these composites, employing algorithms such as XGBoost and AdaBoost. …”
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Experimental and Statistical Investigation of Machinability of AISI D2 Steel Using Electroerosion Machining Method in Different Machining Parameters by Engin Nas, Onur Özbek, Furgan Bayraktar, Fuat Kara

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Review of machine learning-assisted multi-property design of high-entropy alloys: phase structure, mechanical, tribological, corrosion, and hydrogen storage properties by Yunlong Li, Jialiang Tan, Cheng Qian, Xiaochao Liu, Rui Nie

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Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques by Bhupesh P. Nandurkar, Jayant M. Raut, Pawan K. Hinge, Boskey V. Bahoria, Tejas R. Patil, Sachin Upadhye, Vikrant S. Vairagade, Sagar D. Shelare

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