Latest AI and machine learning research in work force for healthcare professionals.
Fall detection (FD) systems are important assistive technologies for healthcare that can detect emer...
Source camera identification has long been a hot topic in the field of image forensics. Besides conv...
PURPOSE: To identify the short-term effects of robotic-assisted gait training (RAGT) on walking dist...
Reservoir computing is a machine learning framework derived from a special type of recurrent neural ...
BACKGROUND: Transfemoral amputation is a serious intervention that alters the locomotion pattern, le...
Although automatic target recognition (ATR) with synthetic aperture radar (SAR) images has been one ...
Socially assistive robots may help the treatment of autism spectrum disorder(ASD), through games usi...
Cells interact mechanically with their surroundings by exerting and sensing forces. Traction force m...
Emotion recognition, among other natural language processing tasks, has greatly benefited from the u...
Artificial intelligence is changing medicine and it will relieve physicians from the burden of rote ...
Deep co-training has recently been proposed as an effective approach for image segmentation when ann...
The purpose of this study was to evaluate the diagnostic performance achieved by using fully-connect...
Robotic lower-limb rehabilitation training is a better alternative for the physical training efforts...
BACKGROUND: Robotic-assisted total knee arthroplasty (TKA) was performed to promote the accuracy of ...
BACKGROUND: In recent years, robots have been considered a new tech industry that can be used to sol...
Corrosion identification and repair is a vital task in aircraft maintenance to ensure continued stru...
In this paper, we quest the capability of transferring the quality of natural scene images to the im...
Single-molecule force spectroscopy has become a powerful tool for the exploration of dynamic process...
In recent years, person re-identification (re-ID) has achieved relatively good performance, benefiti...
Passive movement is an important mean of rehabilitation for stroke survivors in the early stage or w...
This paper presents a novel natural gradient and Hessian-free (NGHF) optimisation framework for neur...