Area of research
Control and Systems Engineering · Mechanical Engineering
Research interest
Research interests include Artificial intelligence, Computer science, Segmentation, Control theory (sociology), Landmark, and Computer vision.
Al-etching-induced defect engineering in NiAl LDHs for promoting multifunctional electrocatalytic oxidations: Water oxidation and urea oxidation
Joint Lesion Detection and Classification of Breast Ultrasound Video via a Clinical Knowledge-Aware Framework
A comprehensive laser image dataset for real-time measurement of wheelset geometric parameters
SDMT: Spatial Dependence Multi-Task Transformer Network for 3D Knee MRI Segmentation and Landmark Localization
FDGR-Net: Feature Decouple and Gated Recalibration Network for medical image landmark detection
SDA-Net: Self-distillation driven deformable attentive aggregation network for thyroid nodule identification in ultrasound images
MsgeCNN: Multiscale geometric embedded convolutional neural network for ONFH segmentation and grading
Integrated Learning Approach Based on Fused Segmentation Information for Skeletal Fluorosis Diagnosis and Severity Grading
Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables
Model reduction for interval type-2 Takagi–Sugeno fuzzy systems
Robust Model Predictive Control Under Saturations and Packet Dropouts With Application to Networked Flotation Processes