Machine learning in big data: A performance benchmarking study of Flink-ML and Spark MLlib by Messaoud MEZATI, Ines AOURIA

“…Among the most prominent ML libraries for large-scale data processing are Flink-ML, the machine learning extension of Apache Flink, and MLlib, the machine learning library of Apache Spark. …”
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Unraveling Magnet Structural Defects in Permanent Magnet Synchronous Machines—Harmonic Diagnosis and Performance Signatures by Mehdi Abdolmaleki, Pedram Asef, Christopher Vagg

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Coupled Induction Machine and HVAC Models for Simulating HVAC Performance Considering Grid Dynamics in Buildings by Viswanathan Ganesh, Zhanwei He, Jianjun Hu, Sen Huang, Wangda Zuo

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Design and Performance Characterization of the E-Core Outer-Rotor Hybrid-Excitation Flux Switching Machine by Zhiyuan Xu, Ming Cheng

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Machine learning approach for disaster risk and resilience assessment in coupled human infrastructure systems performance by Xiangpeng Li, Ali Mostafavi

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Statistical analysis and machine learning of TMS-induced MEPs for predicting poststroke motor impairment and performance by Chun-Ren Phang, Shintaro Uehara, Sachiko Kodera, Akiko Yuasa, Shin Kitamura, Yohei Otaka, Akimasa Hirata

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Development of Anthro-Fitness Model for Evaluating Firefighter Recruits’ Performance Readiness Using Machine Learning by Mohamed Borhanudin Mohd Yusof, Musa Rabiu Muazu, Nazarudin Mohamad Nizam, Abdul Majeed Anwar P. P., Raj Naresh Bhaskar, Razmaan Mohd Azraai Mohd

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Comparative Analysis of Performance Metrics for Machine Learning Classifiers with a Focus on Alzheimer's Disease Data by Sivakani Rajayyan, Syed Masood Mohamed Mustafa

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Comparative analysis of the performance of regression machine learning models for indoor visible light positioning systems by Mohamed Hussien Moharam

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Efficient Approximation Procedure for Magnetization Characteristics Used in Performance Analysis of Highly Saturated Electrical Machines by Miralem Hadžiselimović, Tine Marčič, Ivan Zagradišnik

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Weaning performance prediction in lactating sows using machine learning, for precision nutrition and intelligent feeding by Jiayi Su, Xiangfeng Kong, Wenliang Wang, Qian Xie, Chengming Wang, Bie Tan, Jing Wang

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Predicting Olympic Medal Performance for 2028: Machine Learning Models and the Impact of Host and Coaching Effects by Zhenkai Zhang, Tengfei Ma, Yunpeng Yao, Ningjia Xu, Yujie Gao, Wanwan Xia

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Semi-supervised prediction of protein fitness for data-driven protein engineering by Alicia Olivares-Gil, José A. Barbero-Aparicio, Juan J. Rodríguez, José F. Díez-Pastor, César García-Osorio, Mehdi D. Davari

“…In summary, the demonstrated performance gains of this strategy mark a substantial leap towards more robust and reliable predictive models for protein engineering tasks. …”
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Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy by Tu‐Lan Vu‐Han, Vikram Sunkara, Rodrigo Bermudez‐Schettino, Jakob Schwechten, Robin Runge, Carsten Perka, Tobias Winkler, Sebastian Pokutta, Claudia Weiß, Matthias Pumberger

“…Results The SMA data set consisted of 1304 visits and over 360 variables. We performed feature engineering for variables related to ‘interventions’, ‘devices’, ‘orthosis’, ‘ventilation’, ‘muscle contractures’ and ‘motor milestones’. …”
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Investigation of machining performance in ecdm of Al6061-SiC-B4C hybrid composites by Safa Lafta, Abbas Ibrahim

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Stress Performance Evaluation of Shield Machine Cutter Head during Cutting Piles under Masonry Structures by Fei Peng, Shiju Ma, Mingyu Li, Kui Fu

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Optimization of microwave components using machine learning and rapid sensitivity analysis by Slawomir Koziel, Anna Pietrenko-Dabrowska

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Enhancing the mechanical properties’ performances coconut fiber and CDW composite in paver block: multiple AI techniques with a Performance analysis by G. Uday Kiran, G. Nakkeeran, Dipankar Roy, Sumant Nivarutti Shinde, George Uwadiegwu Alaneme

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Optimal design of high‐performance rare‐earth‐free wrought magnesium alloys using machine learning by Shaojie Li, Zaixing Dong, Jianfeng Jin, Hucheng Pan, Zongqing Hu, Rui Hou, Gaowu Qin

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Study of Working Medium Performance by Acoustic Emission in EDM Machining of Ti6Al4V by Chengbo Guo, Shufa Sun, Shichun Di, Dongbo Wei

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