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A Review of Blockchain-Based Secure Sharing of Healthcare Data

Applied sciences, 2022-08, Vol.12 (15), p.7912

2022

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Special Issue on Recent Advances in Machine Learning and Computational Intelligence

Applied sciences, 2023-04, Vol.13 (8), p.5078

2023

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A data-driven fault detection and diagnosis method via just-in-time learning for unmanned ground vehicles

Automatika, 2023-04, Vol.64 (2), p.277-290

2023

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Vehicle-Following Control Based on Deep Reinforcement Learning

Applied sciences, 2022-10, Vol.12 (20), p.10648

2022

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Design and Experimental Study of a Novel Semi-Physical Unmanned-Aerial-Vehicle Simulation Platform for Optical-Flow-Based Navigation

Aerospace, 2023-02, Vol.10 (2), p.183

2023

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Dual heuristic programming with just‐in‐time modeling for self‐learning fault‐tolerant control of mobile robots

Optimal control applications & methods, 2023-05, Vol.44 (3), p.1215-1234

2023

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A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities

IEEE transactions on control systems technology, 2020-03, Vol.28 (2), p.521-532

2020

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Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles

IEEE transactions on intelligent vehicles, 2023-01, Vol.8 (1), p.135-146

2023

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Personalized Motion Planning and Tracking Control for Autonomous Vehicles Obstacle Avoidance

IEEE transactions on vehicular technology, 2022-05, Vol.71 (5), p.4733-4747

2022

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Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles

IEEE transactions on industrial electronics (1982), 2024-10, Vol.71 (10), p.12744-12753

2024

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Potential field-based dual heuristic programming for path-following and obstacle avoidance of wheeled mobile robots

Robotica, 2023-07, Vol.41 (7), p.1931-1946

2023

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Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles

IEEE transactions on intelligent vehicles, 2022-09, Vol.7 (3), p.556-568

2022

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Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles

Optimal control applications & methods, 2023-05, Vol.44 (3), p.1129-1147

2023

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Computation of Octanol−Water Partition Coefficients by Guiding an Additive Model with Knowledge

Journal of chemical information and modeling, 2007-11, Vol.47 (6), p.2140-2148

2007

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A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems

IEEE transactions on systems, man, and cybernetics. Systems, 2023-03, Vol.53 (3), p.1630-1643

2023

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Kernel-based multiagent reinforcement learning for near-optimal formation control of mobile robots

Applied intelligence (Dordrecht, Netherlands), 2023-05, Vol.53 (10), p.12736-12748

2023

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Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics

IEEE robotics and automation letters, 2024-02, Vol.9 (2), p.1-8

2024

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Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles

IEEE transactions on systems, man, and cybernetics. Systems, 2021-11, Vol.51 (11), p.6962-6975

2021

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Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems

2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, p.12872-12878

2022

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Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines

IEEE transactions on systems, man, and cybernetics. Systems, 2021-06, Vol.51 (6), p.3664-3677

2021

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Interpretation of the Binding Affinities of PTP1B Inhibitors with the MM-GB/SA Method and the X-Score Scoring Function

Journal of Chemical Information and Modeling, 2009-04, Vol.49 (4), p.1033-1048

2009

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A Reinforcement Learning Approach for Trajectory Planning of Intelligent Vehicles

2022 6th Asian Conference on Artificial Intelligence Technology (ACAIT), 2022, p.1-8

2022

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Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots

2022 International Conference on Robotics and Automation (ICRA), 2022, p.5532-5538

2022

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A Two-layer MPC Approach for Consistent Planning and Control of Autonomous Vehicles

2022 International Conference on Advanced Robotics and Mechatronics (ICARM), 2022, p.717-724

2022

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Real-time Motion Planning Based on MPC With Obstacle Constraint Convexification For Autonomous Ground Vehicles

2020 3rd International Conference on Unmanned Systems (ICUS), 2020, p.1035-1041

2020

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A Review of Blockchain-Based Secure Sharing of Healthcare Data

Special Issue on Recent Advances in Machine Learning and Computational Intelligence

A data-driven fault detection and diagnosis method via just-in-time learning for unmanned ground vehicles

Vehicle-Following Control Based on Deep Reinforcement Learning

Design and Experimental Study of a Novel Semi-Physical Unmanned-Aerial-Vehicle Simulation Platform for Optical-Flow-Based Navigation

Dual heuristic programming with just‐in‐time modeling for self‐learning fault‐tolerant control of mobile robots

A Hierarchical MPC Scheme for Coordination of Independent Systems With Shared Resources and Plug-and-Play Capabilities

Deep Neural Networks With Koopman Operators for Modeling and Control of Autonomous Vehicles

Personalized Motion Planning and Tracking Control for Autonomous Vehicles Obstacle Avoidance

Model-Based Safe Reinforcement Learning With Time-Varying Constraints: Applications to Intelligent Vehicles

Potential field-based dual heuristic programming for path-following and obstacle avoidance of wheeled mobile robots

Receding-Horizon Reinforcement Learning Approach for Kinodynamic Motion Planning of Autonomous Vehicles

Continuous‐time receding‐horizon reinforcement learning and its application to path‐tracking control of autonomous ground vehicles

Computation of Octanol−Water Partition Coefficients by Guiding an Additive Model with Knowledge

A Dual-Level Model Predictive Control Scheme for Multitimescale Dynamical Systems

Kernel-based multiagent reinforcement learning for near-optimal formation control of mobile robots

Learning-based Near-optimal Motion Planning for Intelligent Vehicles with Uncertain Dynamics

Multi-Kernel Online Reinforcement Learning for Path Tracking Control of Intelligent Vehicles

Data-driven Kalman Filter with Kernel-based Koopman Operators for Nonlinear Robot Systems

Efficient Batch-Mode Reinforcement Learning Using Extreme Learning Machines

Interpretation of the Binding Affinities of PTP1B Inhibitors with the MM-GB/SA Method and the X-Score Scoring Function

A Reinforcement Learning Approach for Trajectory Planning of Intelligent Vehicles

Barrier Function-based Safe Reinforcement Learning for Formation Control of Mobile Robots

A Two-layer MPC Approach for Consistent Planning and Control of Autonomous Vehicles

Real-time Motion Planning Based on MPC With Obstacle Constraint Convexification For Autonomous Ground Vehicles

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