Area of research
Mechanical Engineering · Electrical and Electronic Engineering
Research interest
Research interests include Computer science, Iterative reconstruction, Artificial intelligence, Tikhonov regularization, Computer vision, and Algorithm.
Voltage tracking and regulation of vehicle PEMFC system under low load condition based on fuzzy LQG hybrid strategy
Deep Learning for Image Reconstruction in Electrical Tomography: A Review
Dual-stage feature specialization network for robust visual object detection in autonomous vehicles
Visual Detection and Image Processing of Parking Space Based on Deep Learning
Robust Target Recognition and Tracking of Self-Driving Cars With Radar and Camera Information Fusion Under Severe Weather Conditions
Research on Direct 3D Electromagnetic Tomography Technique
Study of a spiral-coil EMAT for rail subsurface inspection
Study on the Laser-EMAT Integrated System for Simultaneously Measuring the Width and Depth of Metal Plate
Fast Electromagnetic Tomography Image Reconstruction Algorithm Based on Dimension Reduction Technique
A novel algorithm based on L1-L norm for inverse problem of electromagnetic tomography
Deep Learning Image Reconstruction Simulation for Electromagnetic Tomography
Saliency-based Pedestrian Detection in Far Infrared Images
Electromagnetic Tomography Rail Defect Inspection
Eddy Current Rail Inspection Using AC Bridge Techniques
Landweber iterative algorithm based on regularization in electromagnetic tomography for multiphase flow measurement