Staffing & Scheduling

Shift Pose: A Lightweight Transformer-like Neural Network for Human Pose Estimation.

High-performing, real-time pose detection and tracking in real-time will enable computers to develop...

Study of Intelligent Wireless Network Management in the Context of Artificial Intelligence for the Improvement of Chinese Language Mandarin Test Training Programmes.

One of the most prominent ways of communication between people is through language, which plays a si...

Revisiting dose and intensity of training: Opportunities to enhance recovery following stroke.

PURPOSE: Stroke is a global leading cause of adult disability with survivors often enduring persiste...

Self-supervised graph neural network with pre-training generative learning for recommendation systems.

The case assignment system is an essential system of case management and assignment within the procu...

Training Deep Learning Models to Work on Multiple Devices by Cross-Domain Learning with No Additional Annotations.

PURPOSE: To create an unsupervised cross-domain segmentation algorithm for segmenting intraretinal f...

Interaction with a reactive partner improves learning in contrast to passive guidance.

Many tasks such as physical rehabilitation, vehicle co-piloting or surgical training, rely on physic...

Recover User's Private Training Image Data by Gradient in Federated Learning.

Exchanging gradient is a widely used method in modern multinode machine learning system (e.g., distr...

Deep Learning Dramatically Reduces the Work Associated with Image Cataloguing and Analysis: Commentary on an article by Pouria Rouzrokh, MD, MPH, MHPE, et al.: "Applying Deep Learning to Establish a Total Hip Arthroplasty Radiography Registry. A Stepwise Approach".

In a pilot study, automated real-time systematic review updates were feasible, accurate, and work-saving.

OBJECTIVES: The aim of this study is to describe and pilot a novel method for continuously identifyi...

Algorithms and the future of work.

An algorithm refers to a series of stepwise instructions used by a machine to perform a mathematical...

Evaluation Method of Rationality of Creative Genius Cultivation Pattern Based on a BP Neural Network.

In order to realize the evaluation of the rationality of an innovative talent training mode, an eval...

Quantization-aware training for low precision photonic neural networks.

Recent advances in Deep Learning (DL) fueled the interest in developing neuromorphic hardware accele...

Input-to-State Stabilization of Stochastic Markovian Jump Systems Under Communication Constraints: Genetic Algorithm-Based Performance Optimization.

This work investigates the stabilization problem of uncertain stochastic Markovian jump systems (MJS...

A Comprehensive Assessment of Cultivation Environment of Top Innovative High-Level Talents Based on Deep Learning Algorithm.

The quality of talent has increased across all fields due to the constant growth of different indust...

Predicting Mental Health of Best Human Capital for Sustainable Organization through Psychological and Personality Health Issues: Shift from Traditional to Novel Machine Learning-Supervised Technique Approach.

Researchers in the past discussed the psychological issue like stress, anxiety, depression, phobias ...

Internet of Things (IoT) Enables Robot-Assisted Therapy as a Home Program for Training Upper Limb Functions in Chronic Stroke: A Randomized Control Crossover Study.

OBJECTIVE: To compare the effects of using an Internet of things (IoT)-assisted tenodesis-induced-gr...

A review of automated sleep disorder detection.

Automated sleep disorder detection is challenging because physiological symptoms can vary widely. Th...

HEA-Net: Attention and MLP Hybrid Encoder Architecture for Medical Image Segmentation.

The model, Transformer, is known to rely on a self-attention mechanism to model distant dependencies...

Towards Parallel Selective Attention Using Psychophysiological States as the Basis for Functional Cognition.

Attention is a complex cognitive process with innate resource management and information selection c...

Evaluation Method of Public Physical Training Quality Based on Global Topology Optimization Deep Learning Model.

In the quality evaluation of public sports training, the selected indicators are not comprehensive, ...

Endoscopy Training in the Age of Artificial Intelligence: Deep Learning or Artificial Competence?