Area of research
Electrical and Electronic Engineering · Atomic and Molecular Physics, and Optics
Research interest
Research interests include Computer science, Artificial intelligence, Dentistry, Medicine, Optical time-domain reflectometer, and Fibre optic gyroscope.
Ai-aided diagnosis of oral X-ray images of periapical films based on deep learning
AI-aided diagnosis of periodontitis in oral X-ray images
Recognition and segmentation of teeth and mandibular nerve canals in panoramic dental X-rays by Mask RCNN
Faster-RCNN based intelligent detection and localization of dental caries
A method for temperature error compensation in fiber-optic gyroscope based on machine learning
Unsupervised learning method for events identification in φ-OTDR
Long short-term memory network of machine learning for compensating temperature error of a fiber optic gyroscope independent of the temperature sensor
Markov Transition Fields and Deep Learning-Based Event-Classification and Vibration-Frequency Measurement for <i>φ</i>-OTDR
Use of machine learning to efficiently predict the confinement loss in anti-resonant hollow-core fiber
Discovering extremely low confinement-loss anti-resonant fibers via swarm intelligence