Deep Learning-Based Step Size Determination for Hill Climbing Metaheuristics by Sándor Szénási, Gábor Légrádi, Gábor Kovács

“…Machine Learning-assisted metaheuristics is a new and promising research topic, combining the advantages of both method families. …”
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A Review of Key Signal Processing Techniques for Structural Health Monitoring: Highlighting Non-Parametric Time-Frequency Analysis, Adaptive Decomposition, and Deconvolution by Yixin Zhou, Zepeng Ma, Lei Fu

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Navigating Stakeholders Perspectives on Artificial Intelligence in Higher Education by Aleida Chavarria, Ramon Palau, Raúl Santiago

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Chinese Story Generation Based on Style Control of Transformer Model and Content Evaluation Method by Jhe-Wei Lin, Tang-Wei Su, Che-Cheng Chang

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Deep Learning in Financial Modeling: Predicting European Put Option Prices with Neural Networks by Zakaria Elbayed, Abdelmjid Qadi EI Idrissi

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Utilizing Cell Transmission Models to Alleviate Accident-Induced Traffic Congestion in Two-Way Grid Networks by Yi-Sheng Huang, Yi-Shun Weng, Chun-Yu Shih

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Simplified Integrity Checking for an Expressive Class of Denial Constraints by Davide Martinenghi

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Nonlinear Optimization and Adaptive Heuristics for Solving Irregular Object Packing Problems by János D. Pintér, Ignacio Castillo, Frank J. Kampas

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Engine Optimization Model for Accurate Prediction of Friction Model in Marine Dual-Fuel Engine by Mina Tadros

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Adaptive Grid Generation by Solving One-Dimensional Diffusion Equation Using Physics-Informed Neural Networks by Olzhas Turar, Maksat Mustafin, Darkhan Akhmed-Zaki

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Optimizing Apache Spark MLlib: Predictive Performance of Large-Scale Models for Big Data Analytics by Leonidas Theodorakopoulos, Aristeidis Karras, George A. Krimpas

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A Data-Driven State Estimation Based on Sample Migration for Low-Observable Distribution Networks by Hao Jiao, Chen Wu, Lei Wei, Jinming Chen, Yang Xu, Manyun Huang

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Enhancing Hydraulic Efficiency of Pelton Turbines Through Computational Fluid Dynamics and Metaheuristic Optimization by Guillermo Barragan, Sebastian Atarihuana, Edgar Cando, Victor Hidalgo

“…In this work, the NSGA-II multi objective genetic algorithm, numerical methods, and parametric design techniques found in the Autodesk Inventor professional 2023 CAD software were combined to perform the geometrical optimization of the Pelton bucket geometry. …”
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Application of Machine Learning Techniques to Classify Twitter Sentiments Using Vectorization Techniques by Manjog Padhy, Umar Muhammad Modibbo, Rasmita Rautray, Subhranshu Sekhar Tripathy, Sujit Bebortta

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Fire Video Recognition Based on Local and Global Adaptive Enhancement by Jian Ding, Yun Yi, Tinghua Wang, Tao Tian

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Feature Transformation-Based Few-Shot Class-Incremental Learning by Xubo Zhang, Yang Luo

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Predicting the Magnitude of Earthquakes Using Grammatical Evolution by Constantina Kopitsa, Ioannis G. Tsoulos, Vasileios Charilogis

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Smart and Secure Healthcare with Digital Twins: A Deep Dive into Blockchain, Federated Learning, and Future Innovations by Ezz El-Din Hemdan, Amged Sayed

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Bottlenose Dolphins’ Clicks Comply with Three Laws of Efficient Communication by Arthur Stepanov, Hristo Zhivomirov, Ivaylo Nedelchev, Todor Ganchev, Penka Stateva

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Enhanced Wind Energy Forecasting Using an Extended Long Short-Term Memory Model by Zachary Barbre, Gang Li

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