Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

“…One of the most significant challenges in AI lies in selecting and fine-tuning the optimal algorithm for a given task. Automated Machine Learning (AutoML) models have emerged as a promising solution to address this challenge by systematically exploring hyperparameter spaces to identify optimal configurations efficiently. …”
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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

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Accuracy Optimization of Robotic Machining Using Grey-Box Modeling and Simulation Planning Assistance by Minh Trinh, Michael Königs, Lukas Gründel, Marcel Beier, Oliver Petrovic, Christian Brecher

“…A simulation of the various process influences is therefore necessary to ensure stable machining during production planning in optimizing the process parameters. …”
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Optimal Markowitz portfolio using returns forecasted with time series and machine learning models by Damian Ślusarczyk, Robert Ślepaczuk

“…Abstract We aim to answer whether using forecasted stock returns based on machine learning and time series models in a mean-variance portfolio framework yields better results than relying on historical returns. …”
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Optimized machine learning based comparative analysis of predictive models for classification of kidney tumors by Vatsala Anand, Ajay Khajuria, Rupendra Kumar Pachauri, Vinay Gupta

“…In this study, different machine learning models were used to detect and classify kidney tumors. …”
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Machining Path Optimization of Inductively Coupled Plasma Based on Surface Heat Transfer Model by Peiqi Jiao, Bin Fan, Qiang Xin, Xiang Wu, Hong Wang

“…This study not only helps to gain a deeper understanding of the heat transfer process in plasma machining, but also provides a basis for achieving high-precision plasma machining path optimization schemes.…”
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Optimal Routing Control in Disconnected Machine-to-Machine Networks by Yahui Wu, Su Deng, Hongbin Huang

“…Simulations based on both synthetic and real motion traces show the accuracy of our model. Through extensive numerical results, we demonstrate that the optimal policy obtained by our model is the best.…”
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Emerging Trends in Machine Learning Assisted Optimization Techniques Across Intelligent Transportation Systems by Blessing Itoro Afolayan, Arka Ghosh, Jenny Fajardo Calderin, Antonio D. Masegosa

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Machine-Learning-Based Optimal Feed Rate Determination in Machining: Integrating GA-Calibrated Cutting Force Modeling and Vibration Analysis by Yu-Peng Yeh, Han-Hao Tsai, Jen-Yuan Chang

“…This study proposes a machine learning-based approach to optimize feed rate in machining operations by integrating a genetic algorithm (GA)-calibrated cutting force model with vibration analysis. …”
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Machine Learning for Sustainable Portfolio Optimization Applied to a Water Market by María Antonia Truyols-Pont, Amelia Bilbao-Terol, Mar Arenas-Parra

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Renewable energy forecasting using optimized quantum temporal model based on Ninja optimization algorithm by Mona Ahmed Yassen, El-Sayed M. El-kenawy, Mohamed Gamal Abdel-Fattah, Islam Ismael, Hossam El.Deen Salah Mostafa

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Application of Machine Learning for Bulbous Bow Optimization Design and Ship Resistance Prediction by Yujie Shen, Shuxia Ye, Yongwei Zhang, Liang Qi, Qian Jiang, Liwen Cai, Bo Jiang

“…The accuracy of the model prediction is significantly improved. The optimized bulbous bow design minimizes the ship resistance, which is reduced by 4.95% compared with the initial ship model. …”
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Synthesis and Functional Optimization of a Vibratory Machine with a Parallel Mechanism Structure by Mircea-Bogdan Tătaru, Alexandru Rus, Tiberiu Vesselényi, Mariana Raţiu, Ioan Ţarcă

Subjects: “…vibratory machine…”
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Prediction of the Electricity Demand in the Market: An Application of Optimization and Machine Learning by Ahmed Majed Althahabi, Hassan Mohammed Abed, Raed Khalid, Abrar Ryadh, Ali Al Mansor, Kadhum Al-Majdi, Adil Abbas Alwan

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Large Language Model Enhanced Particle Swarm Optimization for Hyperparameter Tuning for Deep Learning Models by Saad Hameed, Basheer Qolomany, Samir Brahim Belhaouari, Mohamed Abdallah, Junaid Qadir, Ala Al-Fuqaha

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The Structural Design and Optimization of a Railway Fastener Nut Disassembly and Assembly Machine by Xiangang Cao, Guoyin Chen, Mengzhen Zuo, Jiasong Zang, Peng Wang, Xudong Wu

“…Based on the simulation results, a lightweight design was applied to the machine’s carrier platform. The performance of the nut assembly and disassembly mechanism was optimized based on the Kriging model and the Non-dominated Sorting Genetic Algorithm (NSGA-II). …”
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Optimal Control of CO2 Parallel Compression System Based on Machine Learning by Zhang Teng, Wei Xiangyu, Song Yulong, Cao Feng

“…The simulation verifies that the proposed model predictive control strategy is feasible and optimizes the real-time control performance of the CO2 parallel compression system; the overall performance is improved by 7.3% compared with the fixed value control under the given working conditions. …”
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Optimizing SVM Performance through Combinatorial Hyperparameter Tuning and Model Selection by Hassan Tariq, Mehwish Majeed, Mueed Ahmad

Subjects: “…support vector machine…”
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Optimizing Superior Seed Bunches: A New Approach to Artificial Pollination with Machine Learning Models by Yabani Yabani, Retna Astuti Kuswardani

“…Keywords: Seed bunch optimization, pollination strategy, pollen viability, optimization model, machine learning, k-means clustering, multi-objective optimization.…”
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Dynamic modelling for the family of 5-axis CNC milling machines with application to feed-rate optimization by Anh-My Chu, Van-Cong Nguyen, Chi-Hieu Le, James Gao, Michael Packianather, Shwe Soe

“…The kinematic and dynamic modelling of machines is crucial for optimising the machine design and the milling process. …”
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