Machine learning for asphaltene polarizability: Evaluating molecular descriptors by Arun K. Sharma, Owen McMillan, Selsela Arsala, Supreet Gandhok, Rylend Young

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Prediction of Rheological Parameters of Polymers by Machine Learning Methods by T. N. Kondratieva, A. S. Chepurnenko

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Application of machine learning in corrosion inhibition study by Thankappan Sasilatha, Susai Rajendran, Senthil Kumaran Selvaraj, Časlav Lacnjevac, Rajendran Joseph Rathish

“…Artificial intelligence is a branch of science concerned with teaching machines to think and act like humans. Machine learning is concerned with enabling computers to perform tasks without the need for explicit programming. …”
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Capacitance Classification for Supercapacitors Using Machine Learning by Ali Almuamri, Furkan Soysal, Sitki kocaoglu

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Neuromorphic devices assisted by machine learning algorithms by Ziwei Huo, Qijun Sun, Jinran Yu, Yichen Wei, Yifei Wang, Jeong Ho Cho, Zhong Lin Wang

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On-Chip Age Estimation Using Machine Learning by Turki Alnuayri, Saqib Khursheed, Daniele Rossi

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The algorithm of the engineering method of parameter optimization dump working equipment of the motor grader by Ignatov S.D.

“…The optimized parameters improve machine performance, reduce operational costs, and increase equipment lifespan.…”
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A review of machine learning applications in heart health by Ava Perrone, Taghi M. Khoshgoftaar

“…It suggests improvements, including the adoption of advanced sampling techniques and the use of comprehensive performance metrics. The findings suggest that despite extensive research on machine learning in cardiovascular health, there are gaps to be addressed in methodologies for data collection, preprocessing, model development, evaluation, and feature engineering.…”
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Investigation on Machine Learning Approaches for Environmental Noise Classifications by Ali Othman Albaji, Rozeha Bt. A. Rashid, Siti Zeleha Abdul Hamid

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Deep Learning-Augmented Evolutionary Strategies for Intelligent Global Optimization by Absalom El-Shamir Ezugwu, Olaide Nathaniel Oyelade, Jeffrey Ovre Agushaka, Apu Kumar Saha

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Beyond language: Applying MLX transformers to engineering physicsMLX Beyond Language by Stavros Kassinos, Alessio Alexiadis

“…The use of MLX means that the models can be trained and perform predictions efficiently on personal machines with only modest memory requirements. …”
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Driver-Centric Design: Empirical Strategies for Optimizing the Visualization of Driving Information on Vehicle Liquid Crystal Display Dashboards by Jin-Long Lin, Meng-Cong Zheng, Tao Wang, Peng Liu

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AI-based nanotoxicity data extraction and prediction of nanotoxicity by Eunyong Ha, Seung Min Ha, Zayakhuu Gerelkhuu, Hyun-Yi Kim, Tae Hyun Yoon

“…However, the use of large language models (LLMs) and prompt engineering for nanotoxicity data extraction has not been widely studied. …”
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Rockburst Prediction Based on the KPCA-APSO-SVM Model and Its Engineering Application by Yuefeng Li, Chao Wang, Jiankun Xu, Zonghong Zhou, Jianhui Xu, Jianwei Cheng

“…The progress of construction and safe production in mining, water conservancy, tunnels, and other types of deep underground engineering is seriously affected by rockburst disasters. …”
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Measurement of Mental Workload Using Heart Rate Variability and Electrodermal Activity by Aisy Al Fawwaz, Osmalina Nur Rahma, Khusnul Ain, Sayyidul Istighfar Ittaqillah, Rifai Chai

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Integrating Multilayer Perceptron and Support Vector Regression for Enhanced State of Health Estimation in Lithium-Ion Batteries by Sadiqa Jafari, Jisoo Kim, Wonil Choi, Yung-Cheol Byun

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Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework by Abdallah B. Al-Hamdan, Yazan Ibrahim Alatoom, Inya Nlenanya, Omar Smadi

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Simulating of Changes in Water Distribution Uniformity Coefficient in Classic Stationary Sprinkler Irrigation Using Data-Mining Models by Fariborz Ahmadzadeh-Kaleybar, Shahram Shahmohammadi Kalalagh, Sina Fard Moradinia

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Extreme gradient boosting algorithm based urban daily traffic index prediction model: a case study of Beijing, China by Jiancheng Weng, Kai Feng, Yu Fu, Jingjing Wang, Lizeng Mao

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Cerebral gray matter volume identifies healthy older drivers with a critical decline in driving safety performance using actual vehicles on a closed-circuit course by Handityo Aulia Putra, Kaechang Park, Kaechang Park, Fumio Yamashita

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