Work Force

The gate injection-based field-effect synapse transistor with linear conductance update for online training.

Neuromorphic computing, an alternative for von Neumann architecture, requires synapse devices where ...

Automation of generative adversarial network-based synthetic data-augmentation for maximizing the diagnostic performance with paranasal imaging.

Thus far, there have been no reported specific rules for systematically determining the appropriate ...

Editorial for "Gradual Self-Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning-Based Brain Metastases Detection Using Nonlocal Networks on MRI Images".

Integrating artificial intelligence and telehealth services in psychodermatology.

AI technologies: guidelines set out training requirements for NHS staff.

Intelligent Gait Analysis and Evaluation System Based on Cane Robot.

Gait analysis and evaluation are vital for disease diagnosis and rehabilitation. Current gait analys...

Current Applications of Robot-Assisted Ultrasound Examination.

Despite advances in miniaturization and automation, the need for expert acquisition of a full echoca...

Virtual classroom proficiency-based progression for robotic surgery training (VROBOT): a randomised, prospective, cross-over, effectiveness study.

Robotic surgery training has lacked evidence-based standardisation. We aimed to determine the effect...

sEMG-Based Gain-Tuned Compliance Control for the Lower Limb Rehabilitation Robot during Passive Training.

The lower limb rehabilitation robot is a typical man-machine coupling system. Aiming at the problems...

Training recurrent neural networks as generative neural networks for molecular structures: how does it impact drug discovery?

INTRODUCTION: Deep learning approaches have become popular in recent years in de novo drug design. G...

Acceleration of Deep Neural Network Training Using Field Programmable Gate Arrays.

Convolutional neural network (CNN) training often necessitates a considerable amount of computationa...

International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases.

In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "in...

Human-Robot Cooperative Strength Training Based on Robust Admittance Control Strategy.

A stroke is a common disease that can easily lead to lower limb motor dysfunction in the elderly. St...

Artificial Intelligence and Deep Learning Assisted Rapid Diagnosis of COVID-19 from Chest Radiographical Images: A Survey.

Artificial Intelligence (AI) has been applied successfully in many real-life domains for solving com...

Research on the Guidance of Youth Labor Education Based on the "Combination of Education and Production Labor" Program Based on the Deep Learning Model.

At present, there is a lack of research on Marx's idea of "combining education and productive labor"...

The rise of robots increases job insecurity and maladaptive workplace behaviors: Multimethod evidence.

Robots are transforming the nature of human work. Although human-robot collaborations can create new...

Detection of Proximal Caries Lesions on Bitewing Radiographs Using Deep Learning Method.

This study aimed to evaluate the validity of a deep learning-based convolutional neural network (CNN...

Artificial intelligence and clinical anatomical education: Promises and perils.

Anatomy educators are often at the forefront of adopting innovative and advanced technologies for te...

Gradual Self-Training via Confidence and Volume Based Domain Adaptation for Multi Dataset Deep Learning-Based Brain Metastases Detection Using Nonlocal Networks on MRI Images.

BACKGROUND: Research suggests that treatment of multiple brain metastases (BMs) with stereotactic ra...

Implementation of robot-assisted groin hernia repair diminishes the prospects of young surgeons' training: a nationwide register-based cohort study.

PURPOSE: Robot-assisted groin hernia repair is becoming more popular in recent years but may remove ...

Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials.

Energy consumption is an important issue for resource-constrained wireless neural recording applicat...