Staffing & Scheduling

Deep learning intravoxel incoherent motion modeling: Exploring the impact of training features and learning strategies.

PURPOSE: The development of advanced estimators for intravoxel incoherent motion (IVIM) modeling is ...

Forecasting and Optimizing Dual Media Filter Performance via Machine Learning.

Four different machine learning algorithms, including Decision Tree (DT), Random Forest (RF), Multiv...

Impact of educational video on performance in robotic simulation training (TAKUMI-1): a randomized controlled trial.

The use of virtual reality for simulations plays an important role in the initial training for robot...

A novel use of an artificially intelligent Chatbot and a live, synchronous virtual question-and answer session for fellowship recruitment.

INTRODUCTION: Academic departments universally communicate information about their programs using st...

How can machine learning and multiscale modeling benefit ocular drug development?

The eyes possess sophisticated physiological structures, diverse disease targets, limited drug deliv...

Commentary on "Comparative Effectiveness of Robot-Assisted Training Versus Enhanced Upper Extremity Therapy on Upper and Lower Extremity for Stroke Survivors: A Multicentre Randomized Controlled Trial".

Securing Multimedia Using a Deep Learning Based Chaotic Logistic Map.

Telemedicine and online consultations with doctors has become very popular during the pandemic and i...

Science fiction or clinical reality: a review of the applications of artificial intelligence along the continuum of trauma care.

Artificial intelligence (AI) and machine learning describe a broad range of algorithm types that can...

Effect of multimodal comprehensive communication skills training with video analysis by artificial intelligence for physicians on acute geriatric care: a mixed-methods study.

OBJECTIVES: To quantitatively analyse by artificial intelligence (AI) the communication skills of ph...

Analysis of Training Deep Learning Models for PCB Defect Detection.

Recently, many companies have introduced automated defect detection methods for defect-free PCB manu...

Advancements in Imaging Sensors and AI for Plant Stress Detection: A Systematic Literature Review.

Integrating imaging sensors and artificial intelligence (AI) have contributed to detecting plant str...

Efficacy of Robot-Assisted Training on Rehabilitation of Upper Limb Function in Patients With Stroke: A Systematic Review and Meta-analysis.

OBJECTIVE: To systematically evaluate the effect of robot-assisted training (RAT) on upper limb func...

Analyzing the Relationship among Social Capital, Dynamic Capability, and Farmers' Cooperative Performance Using Lightweight Deep Learning Model: A Case Study of Liaoning Province.

The purpose of this study is to understand the relationship between social capital and the performan...

Effect of gait distance during robot training on walking independence after acute brain injury.

This study aimed to determine whether the distance of gait training using a hybrid assistive limb (H...

Robot-related fatalities at work in the United States, 1992-2017.

BACKGROUND: Industrial robots became more commonplace in the US workplace during the mid- to latter ...

A Methodology for Training Toolkits Implementation in Smart Labs.

Globally, educational institutes are trying to adapt modernized and effective approaches and tools t...

Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously.

Large compendia of gene expression data have proven valuable for the discovery of novel biological r...

A 3-DoF robotic platform for the rehabilitation and assessment of reaction time and balance skills of MS patients.

The central nervous system (CNS) exploits anticipatory (APAs) and compensatory (CPAs) postural adjus...

Decoupled neural network training with re-computation and weight prediction.

To break the three lockings during backpropagation (BP) process for neural network training, multipl...

Evaluation of Robotic Systems on Cytotoxic Drug Preparation: A Systematic Review and Meta-Analysis.

: With the increased prevalence of patients with cancer, the demand for preparing cytotoxic drugs wa...

Computational Thinking Training and Deep Learning Evaluation Model Construction Based on Scratch Modular Programming Course.

To improve the algorithmic dimension, critical thinking, and problem-solving ability of computationa...