Staffing & Scheduling

Application and performance of artificial intelligence technology in cytopathology.

Deep learning algorithms and artificial intelligence (AI) are making great progress in their capacit...

The Experiences of Robot-Assisted Gait Training in Patients With Neurological Disorders: A Qualitative Study.

PURPOSE: The aim of this study was to explore the rehabilitation experiences and perceptions of pati...

3D printed patient-specific prostate cancer models to guide nerve-sparing robot-assisted radical prostatectomy: a systematic review.

Precise knowledge of each patient's index cancer and surrounding anatomy is required for nerve-spari...

Sepsis labels defined by claims-based methods are ill-suited for training machine learning algorithms.

Robot-Assisted Training as Self-Training for Upper-Limb Hemiplegia in Chronic Stroke: A Randomized Controlled Trial.

BACKGROUND: This study aimed to examine whether robotic self-training improved upper-extremity funct...

Rehabilitation Treatment of Muscle Strain in Athlete Training under Intelligent Intervention.

With the development of artificial intelligence technology in the medical field, clinical trials usi...

Human Robot Collaboration for Enhancing Work Activities.

OBJECTIVE: Trade-offs between productivity, physical workload (PWL), and mental workload (MWL) were ...

Cramér-Rao bound-informed training of neural networks for quantitative MRI.

PURPOSE: To improve the performance of neural networks for parameter estimation in quantitative MRI,...

Intelligent Wearable Devices Enabled Automatic Vehicle Detection and Tracking System with Video-Enabled UAV Networks Using Deep Convolutional Neural Network and IoT Surveillance.

The discipline of computer vision is becoming more popular as a research subject. In a surveillance-...

Differentially Private Singular Value Decomposition for Training Support Vector Machines.

Support vector machine (SVM) is an efficient classification method in machine learning. The traditio...

Datasets for Automated Affect and Emotion Recognition from Cardiovascular Signals Using Artificial Intelligence- A Systematic Review.

Our review aimed to assess the current state and quality of publicly available datasets used for aut...

Research on Application of Sports Training Performance Prediction Based on Convolutional Neural Network.

In order to improve the prediction effect of sports training performance and improve the effect of s...

Production Task Allocation Decision Based on Cloud Robot Cell-Line.

Cloud manufacturing is a new service-oriented efficient and low-consumption agile manufacturing mode...

Investigation of Effectiveness of Shuffled Frog-Leaping Optimizer in Training a Convolution Neural Network.

One of the leading algorithms and architectures in deep learning is Convolution Neural Network (CNN)...

Effectiveness of individualized training based on force-velocity profiling on physical function in older men.

The study aimed to investigate the effectiveness of an individualized power training program based o...

Possible Applications of Edge Computing in the Manufacturing Industry-Systematic Literature Review.

This article presents the results of research with the main goal of identifying possible application...

Action Recognition, Tracking, and Optimization Analysis of Training Process Based on the Support Vector Regression Model.

In order to study the action recognition, tracking, and optimization of the training process based o...

Mind the gap: Performance metric evaluation in brain-age prediction.

Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...

Developing random forest hybridization models for estimating the axial bearing capacity of pile.

Accurate determination of the axial load capacity of the pile is of utmost importance when designing...

An alternative to the black box: Strategy learning.

In virtually any practical field or application, discovering and implementing near-optimal decision ...

Real-Time Modulation of Physical Training Intensity Based on Wavelet Recursive Fuzzy Neural Networks.

In this study, a wavelet recurrent fuzzy neural network is used to conduct in-depth research and ana...