Artificial Intelligence/Machine Learning

AI-Accelerated Parallel Power Flow Analysis in Electrical Power Grids

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Decentralized Excitable Integral Reinforcement Learning (dEIRL) for Hypersonic Vehicles

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Novel Framework for Diagnosing Spatial Representativeness Ground Snow Stations in Variable Terrain

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System and Methods for Epipolar Plane Imaging in Event-Based Cameras for Depth Estimation

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Minimum Description Feature Selection for Complexity Reduction in Machine Learning-Based Wireless Positioning

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Exploiting Class Probabilities for Black-Box Sentence-Level Attacks

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Excitable Integral Reinforcement Learning (EIRL)

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Methods and Systems for Detecting Disinformation Generated by Large Language Models

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Analysis and Design Software to Enable a Sustainable Circular Economy of Multilayer Barrier Films

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Superior Computer Chess with Model Predictive Control, Reinforcement Learning, and Rollout Algorithms

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