Wind speed and power forecasting using Bayesian optimized machine learning models in Gabal Al-Zayt, Egypt by Nehal Elshaboury, Haytham Elmousalami

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Waste-to-Energy Potential of Petroleum Refinery Sludge, Statistical Optimization, Machine Learning, and Life Cycle Costs Models by Seyyed Roohollah Masoomi, Mohammad Gheibi, Reza Moezzi, Kourosh Behzadian, Atiyeh Ardakanian, Farzad Piadeh, Andres Annuk

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A machine learning-driven modeling and optimization approach for enhancing cassava mash production quality in cassava graters by Nana Yaa Serwaah Sarpong, Joseph Oppong Akowuah, Joseph Ofei Darko, Eric Asante Amoah

“…Machine performance modeling and optimization have emerged as crucial steps for process enhancement and efficiency. …”
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Model-Based Sequential Design of Experiments with Machine Learning for Aerospace Systems by Tim Gerling, Kai Dresia, Jan Deeken, Günther Waxenegger-Wilfing

“…To address these challenges, machine learning techniques can be used to further increase the application areas of modern Bayesian Optimal Experimental Design (BOED) approaches, enhancing their efficiency and accuracy. …”
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Optimizing electric vehicle energy consumption prediction through machine learning and ensemble approaches by Izhar Hussain, Kok Boon Ching, Chessda Uttraphan, Kim Gaik Tay, Adeeb Noor, Sufyan Ali Memon

“…Among the optimization techniques, Optuna proves to be the most effective for tuning the KNN model. …”
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Mathematical Optimization in Machine Learning for Computational Chemistry by Ana Zekić

“…We classify optimization targets into model parameter optimization, hyperparameter selection, and molecular optimization and analyze their application across supervised, unsupervised, and reinforcement learning frameworks. …”
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Metaheuristics in automated machine learning: Strategies for optimization by Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone

“…The present work explores the application of Automated Machine Learning techniques, particularly on the optimization of Artificial Neural Networks through hyperparameter tuning. …”
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Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms? by Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper

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A Comprehensive Review on Next-Generation Modeling and Optimization for Semiconductor Devices by Pratikhya Raut, Deepak Kumar Panda, Amit Kumar Goyal

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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

“…To address this challenge, our study presents the “Optimized Random Forest (Opt-Forest),” an innovative ensemble model that combines decision forest approaches with genetic algorithms (GAs) for enhanced intrusion detection. …”
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Machine tool FEM model correction assisted by dynamic evolution sequence by Weihao Lin, Peng Zhong, Xindi Wei, Li Zhu, Xuanlong Wu

Subjects: “…Machine tool FEM model…”
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Optimization of spatio-temporal ozone (O3) pollution modeling using an ensemble machine model learning with a swarm-based metaheuristic algorithm by Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Armin Sorooshian, Lingbo Liu, Shuming Bao, Soo-Mi Choi

“…This research fills a crucial gap in current modeling approaches by proposing a novel methodology that integrates an ensemble machine-learning algorithm with swarm-based metaheuristic optimization algorithm. …”
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The Application of Machine Learning on Antibody Discovery and Optimization by Jiayao Zheng, Yu Wang, Qianying Liang, Lun Cui, Liqun Wang

“…The advancements in protein data, computational hardware, and machine learning (ML) models have the opportunity to disrupt antibody discovery and optimization research. …”
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Benchmarking the optimization of optical machines with the planted solutions by Nikita Stroev, Natalia G. Berloff, Nir Davidson

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Unleashing Predicting a Comparative Study of Machine Learning for Bankruptcy Risk Prediction by Yupeng Li, Ke Sun

Subjects: “…artificial rabbits optimizer…”
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Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization by Manish Kumar Singla, S. A. Muhammed Ali, Ramesh Kumar, Pradeep Jangir, Mohammad Khishe, G. Gulothungan, Haitham A. Mahmoud

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Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics: Confirmation of Validity Though Preliminary Testing by Dexter Felix Brown, Sheng Quan Xie

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Artificial intelligence-driven modeling of biodiesel production from fats, oils, and grease (FOG) with process optimization via particle swarm optimization by Badril Azhar, Muhammad Ikhsan Taipabu, Cries Avian, Karthickeyan Viswanathan, Wei Wu, Raymond Lau

“…This study presents the design and optimization of a biodiesel production process, emphasizing the integration of machine learning (ML) models and process optimization techniques. …”
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A review of finite control set model predictive control for linear machines by Wei Xu, Han Xiao, Yirong Tang, Jian Ge, Leilei Guo, Abdul Khalique Junejo

Subjects: “…fast optimization…”
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Mean-Variance optimal portfolio selection integrated with support vector and fuzzy support vector machines by Simrandeep Kaur, Arti Singh, Abha Aggarwal

Subjects: “…fuzzy support vector machines…”
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