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Deep Reinforcement Learning for Chaos Control of a Nonlinear Jumping Quarter-Car Model
Published in IEEE Access (2026)“…Journal Article…”
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Efficient Intelligent Early Bearing Fault Detection With Frequency of High-Frequency Band Time–Frequency Amplitudes
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A Reliable Framework for Batch Reactor State Response Forecasting
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Performance Indicators for Shape and Position Assessment in Electromagnetic Inverse Scattering
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Hourglass-Shaped Terahertz Metasurface Exhibiting EIT-Like Resonance for High-Performance Label-Free Glucose Sensing
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A Lightweight Unsupervised Intrusion Detection Model for In-Vehicle Edge Computing Based on FlexRay
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The ARSINOE Knowledge Management Framework to Support the Development of Climate-Resilient Regions
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DVFIP-Net: Dual View Feature Interaction Propagation Network for Polyp Segmentation
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Interpretable Merging-Vehicle Acceleration Prediction via a Decoder-Only Transformer and Attention Map Clustering
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AI-Driven RF Detection of Solutes in Water
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QLID-Net: A Hybrid Quantum-Classical Neural Network for Robust and Data-Efficient Smart Grid Load Identification
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BAYES-GAIT: A Bayesian Deep Neural Network for Continuous Gait Reference Trajectory Generation Using an Enhanced Loss Function
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Low-Profile Chessboard Metasurface for Monostatic and Multistatic Radar Cross Section Reduction
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Machine Learning-Based Comparison of 2-D and 3-D Approaches for Parkinson’s Disease Detection via Hand Movement Analysis
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NaVIP: A Computer Vision-Based Indoor Navigation Solution for Visually Impaired Persons
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Moving Target Defense in Software-Defined Networks: A Systematic Review
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MiNTT: A Family of Module Lattice-Based Cryptographic Compression Functions
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V-Model Design and Experimental Validation for Robust Direct Power Control of Wind Energy Conversion Systems
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The Critical Role of Interfacial Materials and Boundary Conditions in the Wind-Induced Stress of Post Insulators: A Numerical Investigation
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Unit Commitment Involving Uncertainty in Electric Power Systems Using Orthogonal Experiments
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