Latest AI and machine learning research in critical care for healthcare professionals.
Multi-disease prediction is regarded as the capacity to simultaneously identify various diseases tha...
BACKGROUND AND OBJECTIVES: Hemodialysis complications remain a critical threat among dialysis patien...
The selection of an appropriate mining method is considered as an important tool in the mining desig...
Accurate and rapid diagnosis of coronavirus disease 2019 (COVID-19) from chest CT scans is of great ...
PURPOSE: Energy expenditure is a key parameter in quantifying physical activity. Traditional methods...
We propose a multi-agent learning approach for designing crowdsourcing contests and All-Pay auctions...
Machine learning methods can detect complex relationships between variables, but usually do not expl...
Video question answering (Video-QA) is a subject undergoing intense study in Artificial Intelligence...
Exabytes of data are generated daily by humans, leading to the growing needs for new efforts in deal...
Utilizing smart face masks to monitor and analyze respiratory signals is a convenient and effective ...
The recent investigation has started for evaluating the human respiratory sounds, like voice recorde...
Multi-robot systems are experiencing increasing popularity in joint rescue, intelligent transportati...
Cancer prognosis analysis is of essential interest in clinical practice. In order to explore the pro...
Due to the poor visibility of the deep-sea environment, acoustic signals are often collected and ana...
The major theme of this analysis is to suggest a new theory in the form of complex picture fuzzy sof...
In order to establish the mapping relationship between architectural design parameters and building ...
Real-time tracking of a target volume is a promising solution for reducing the planning margins and ...
Dynamic locomotion is realized through a simultaneous integration of adaptability and optimality. Th...
Medical image segmentation is a crucial step in the clinical applications for diagnosis and analysis...
This paper introduces a new dataset of a surgical knot-tying task, and a multi-modal deep learning m...
BACKGROUND: Severe acute respiratory infections (SARI) are the most common infectious causes of deat...