Decai Li

Orcid: 0000-0003-4140-3861

According to our database1, Decai Li authored at least 47 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Frequency Energy Ratio Cell Based Operational Security Domain Analysis of Planetary Gearbox.
IEEE Trans. Reliab., March, 2023

Nonlinear Correction Method for Si Photodiode Detectors and Its Application to the Electro-Optical Measurement for the PDLC Film.
IEEE Trans. Instrum. Meas., 2023

Incremental density clustering framework based on dynamic microlocal clusters.
Intell. Data Anal., 2023

A simplified phase-field lattice Boltzmann method with a self-corrected magnetic field for the evolution of spike structures in ferrofluids.
Appl. Math. Comput., 2023

Air-Ground Robots' Cooperation-Based Mountain Glaciers Thickness Continuous Detection: Systems And Applications.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

Efficient and Hierarchical Quadrotor Planner for Fast Autonomous Flight.
Proceedings of the Intelligent Robotics and Applications - 16th International Conference, 2023

2022
Incremental Learning Framework for Autonomous Robots Based on Q-Learning and the Adaptive Kernel Linear Model.
IEEE Trans. Cogn. Dev. Syst., 2022

Gradient eigendecomposition invariance biogeography-based optimization for mobile robot path planning.
Soft Comput., 2022

A Unified Framework for Large-Scale Occupancy Mapping and Terrain Modeling Using RMM.
IEEE Robotics Autom. Lett., 2022

Efficient and multifidelity terrain modeling for 3D large-scale and unstructured environments.
J. Field Robotics, 2022

Negative Gradient Differential Biogeography-based Optimization for Mobile Robot Path Planning.
Int. J. Artif. Intell. Tools, 2022

Estimation of cardiac stroke volume from radial pulse waveform by artificial neural network.
Comput. Methods Programs Biomed., 2022

A lattice Boltzmann model for liquid-vapor-solid flow with thermal phase change.
Comput. Math. Appl., 2022

Random Mapping Method for Large-Scale Terrain Modeling.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
A magnetic field coupling lattice Boltzmann model and its application on the merging process of multiple-ferrofluid-droplet system.
Appl. Math. Comput., 2021

An Efficient and Continuous Representation for Occupancy Mapping with Random Mapping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Simultaneous Prediction of Pedestrian Trajectory and Actions based on Context Information Iterative Reasoning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Multiresolution Representations for Large-Scale Terrain with Local Gaussian Process Regression.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

SCR-Graph: Spatial-Causal Relationships Based Graph Reasoning Network for Human Action Prediction.
Proceedings of the CONF-CDS 2021: The 2nd International Conference on Computing and Data Science, 2021

2020
A unified lattice Boltzmann model for immiscible and miscible ternary fluids.
Comput. Math. Appl., 2020

Lattice Boltzmann model for dense suspended particles based on improved bounce-back method.
Comput. Math. Appl., 2020

Denoising of Uncertain Type Noise Images by Spatial Feature Classification in Nonsubsampled Shearlet Transform.
IEEE Access, 2020

2019
Path Planning of UGV Based on Bézier Curves.
Robotica, 2019

SCR-Graph: Spatial-Causal Relationships based Graph Reasoning Network for Human Action Prediction.
CoRR, 2019

Estimation of wave reflection in aorta from radial pulse waveform by artificial neural network: a numerical study.
Comput. Methods Programs Biomed., 2019

Lattice Boltzmann model for the axisymmetric electro-thermo-convection.
Comput. Math. Appl., 2019

The Effect of Different Types of Internal Rewards in Distributed Multi-Agent Deep Reinforcement Learning.
Proceedings of the 2019 IEEE International Conference on Robotics and Biomimetics, 2019

Long-range Navigation for Autonomous Robot based on Topo-Mapping and Q-Learning.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

2018
N-Point Moving Average: A Special Generalized Transfer Function Method for Estimation of Central Aortic Blood Pressure.
IEEE Trans. Biomed. Eng., 2018

A Real-Time Multiagent Strategy Learning Environment and Experimental Framework.
Proceedings of the Advances in Swarm Intelligence - 9th International Conference, 2018

Multi-Robot Cooperation Strategy in Game Environment Using Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2018

An Efficient Extreme Learning Machine for Robust Regression.
Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2017
Nonlinear Modeling for a Water-Jet Propulsion USV: An Experimental Study.
IEEE Trans. Ind. Electron., 2017

Vision-Based Robot Path Planning with Deep Learning.
Proceedings of the Computer Vision Systems - 11th International Conference, 2017

Dynamic modelling and simulation of a combined-cycle power plant integration with thermal energy storage.
Proceedings of the 23rd International Conference on Automation and Computing, 2017

2016
Lattice Boltzmann flux scheme for the convection-diffusion equation and its applications.
Comput. Math. Appl., 2016

GPU-based heuristic escape for outdoor large scale registration.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2016

Incremental echo state network for a water-jet propulsion USV: Theoretical and experimental research.
Proceedings of the 2016 American Control Conference, 2016

2015
Simulation of steady fluid-solid conjugate heat transfer problems via immersed boundary-lattice Boltzmann method.
Comput. Math. Appl., 2015

2014
Use of Magnetic Fluid in Accelerometers.
J. Sensors, 2014

Quasi-LPV modeling and identification for a water-jet propulsion USV: An experimental study.
Proceedings of the 2014 IEEE International Conference on Robotics and Biomimetics, 2014

2012
Chaotic Time Series Prediction Based on a Novel Robust Echo State Network.
IEEE Trans. Neural Networks Learn. Syst., 2012

2011
Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy.
Neurocomputing, 2011

2010
Orthogonal Least Squares Based on Singular Value Decomposition for Spare Basis Selection.
Proceedings of the Advances in Neural Networks, 2010

2009
Preparation of kerosene based nano-magnetic fluid and its application in pressure difference sensors.
Proceedings of the 4th IEEE International Conference on Nano/Micro Engineered and Molecular Systems, 2009

A Fast Two Stage Density Estimation Based on Extreme Learning Machine.
Proceedings of the 2009 International Conference on Artificial Intelligence, 2009

2008
Multivariate chaotic time series analysis and prediction using improved nonlinear canonical correlation analysis.
Proceedings of the International Joint Conference on Neural Networks, 2008


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