Latest AI and machine learning research in work force for healthcare professionals.
Microorganisms growing in their habitat constitute a complex system. How the individual constituents...
OBJECTIVE: To assess the effects of exoskeleton robot-assisted passive range of motion for induction...
OBJECTIVE: Robot-assisted neuro-rehabilitation therapy plays a central role in upper extremity recov...
OBJECTIVE: Technological advances have significantly fostered the use of robotics in neurosurgery. D...
BACKGROUND: The da Vinci skills simulation curriculum has been validated in the literature. The upda...
Semi-supervised learning has made significant strides in the medical domain since it alleviates the ...
In order to provide theoretical support and ideas for the "dose" of high-stakes physical activity in...
This study is aimed at developing an intelligent algorithm based on deep learning and discussing its...
Visual properties that primarily attract bottom-up attention are collectively referred to as salienc...
Image-based methods for species identification offer cost-efficient solutions for biomonitoring. Thi...
In order to assist patients with finger rehabilitation training and grasping objects, we propose a n...
Conventional methods to study insect taxonomy especially forensic and medical dipterous flies are of...
Machine-learning force fields have become increasingly popular because of their balance of accuracy ...
Particle swarm optimizer (PSO) and mobile robot swarm are two typical swarm techniques. Many applica...
Existing network embedding algorithms based on generative adversarial networks (GANs) improve the ro...
Medical image classification is an important task in computer-aided diagnosis systems. Its performan...
Ensembles, as a widely used and effective technique in the machine learning community, succeed withi...
The deterioration of infrastructure's health has become more predominant on a global scale during th...
Mission statements (henceforth: missions) are strategic planning communication tools used by all typ...
With the recent advances in the field of alternate agriculture, there has been an ever-growing deman...
Supervised deep learning needs a large amount of labeled data to achieve high performance. However, ...