Latest AI and machine learning research in staffing & scheduling for healthcare professionals.
Fall detection (FD) systems are important assistive technologies for healthcare that can detect emer...
PURPOSE: To identify the short-term effects of robotic-assisted gait training (RAGT) on walking dist...
Ion intercalation based programmable resistors have emerged as a potential next-generation technolog...
Reservoir computing is a machine learning framework derived from a special type of recurrent neural ...
In this study, algorithms to detect post-falls were evaluated using the cross-dataset according to f...
BACKGROUND: Transfemoral amputation is a serious intervention that alters the locomotion pattern, le...
The forecast of electricity demand has been a recurrent research topic for decades, due to its econo...
IMPORTANCE: Physicians are required to work with rapidly growing amounts of medical data. Approximat...
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...
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 ...
In the human resource system of modern enterprises, human-post matching big data occupies an importa...
Expression of CCR5 and its cognate ligands have been implicated in COVID-19 pathogenesis, consequent...
Deep co-training has recently been proposed as an effective approach for image segmentation when ann...
Medical imaging is widely used in the diagnosis and treatment of cancer, and artificial intelligence...
IEEE 802.11 (Wi-Fi) is one of the technologies that provides high performance with a high density of...
OBJECTIVES: This manuscript describes the application of deep learning to physiology education of St...
The purpose of this study was to evaluate the diagnostic performance achieved by using fully-connect...
The occupational profiling system driven by the traditional survey method has some shortcomings such...
Deep neural networks have been successfully applied to medical image analysis tasks like segmentatio...