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

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Balancing Safety and Comfort: A Novel Automatic Braking Control Method Using Seventh-Degree Polynomials by Fei Lai, Chaoqun Huang

“…Consequently, it significantly improves the braking comfort while ensuring collision avoidance; specifically, the braking deceleration changes smoothly rather than abruptly, greatly reducing the vehicle’s jerk value. …”
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Generation of Sparse Antennas and Scatterers Based on Optimal Current Grid Approximation by Tuan Phuong Dang, Manh Tuan Nguyen, Adnan F. Alhaj Hasan, Talgat R. Gazizov

“…The results show that the algorithm worked accurately and effectively in generating sparse scattering structures while reducing their mass and surface.…”
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Adaptive Noise Exploration for Neural Contextual Multi-Armed Bandits by Chi Wang, Lin Shi, Junru Luo

“…EAD injects adaptive noise into the reward signals based on arm selection frequency, while EAP adds adaptive noise to the hidden layer of the neural network for more stable exploration. …”
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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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Super-Exponential Approximation of the Riemann–Liouville Fractional Integral via Gegenbauer-Based Fractional Approximation Methods by Kareem T. Elgindy

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

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Stability Analysis and Experimental Validation of Standard Proportional-Integral-Derivative Control in Bilateral Teleoperators with Time-Varying Delays by Marco A. Arteaga, Evert J. Guajardo-Benavides, Pablo Sánchez-Sánchez

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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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ADDAEIL: Anomaly Detection with Drift-Aware Ensemble-Based Incremental Learning by Danlei Li, Nirmal-Kumar C. Nair, Kevin I-Kai Wang

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Multi-Project Scheduling with Uncertainty and Resource Flexibility: A Narrative Review and Exploration of Future Landscapes by Marzieh Aghileh, Anabela Tereso, Filipe Alvelos, Maria Odete Monteiro Lopes

“…It categorizes solution approaches, from exact algorithms to heuristic and metaheuristic methods, while reviewing the primary instance sets and benchmarks used in the field. …”
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A New Approach to Recognize Faces Amidst Challenges: Fusion Between the Opposite Frequencies of the Multi-Resolution Features by Regina Lionnie, Julpri Andika, Mudrik Alaydrus

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Forecasting Cancer Incidence in Canada by Age, Sex, and Region Until 2026 Using Machine Learning Techniques by Ehsan Kaviani, Kalpdrum Passi

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Rotating Machinery Fault Detection Using Support Vector Machine via Feature Ranking by Harry Hoa Huynh, Cheol-Hong Min

“…Especially the use of machine learning algorithms has been very popular in all areas, including fault detection. …”
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Assessment of Solar Energy Generation Toward Net-Zero Energy Buildings by Rayan Khalil, Guilherme Vieira Hollweg, Akhtar Hussain, Wencong Su, Van-Hai Bui

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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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AetherGeo: A Spectral Analysis Interface for Geologic Mapping by Gonçalo Santos, Joana Cardoso-Fernandes, Ana C. Teodoro

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Data Augmentation for Voiceprint Recognition Using Generative Adversarial Networks by Yao-San Lin, Hung-Yu Chen, Mei-Ling Huang, Tsung-Yu Hsieh

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