Staffing & Scheduling

Effective Training of Convolutional Neural Networks With Low-Bitwidth Weights and Activations.

This paper tackles the problem of training a deep convolutional neural network of both low-bitwidth ...

Importance Weight Estimation and Generalization in Domain Adaptation Under Label Shift.

We study generalization under labeled shift for categorical and general normed label spaces. We prop...

Hybrid robot-assisted gait training for motor function in subacute stroke: a single-blind randomized controlled trial.

BACKGROUND: Robot-assisted gait training (RAGT) is a practical treatment that can complement convent...

Performance comparison of three deep learning models for impacted mesiodens detection on periapical radiographs.

This study aimed to develop deep learning models that automatically detect impacted mesiodens on per...

Neural network training method for materials science based on multi-source databases.

The fourth paradigm of science has achieved great success in material discovery and it highlights th...

Automated Identification of Clinical Procedures in Free-Text Electronic Clinical Records with a Low-Code Named Entity Recognition Workflow.

BACKGROUND: Clinical procedures are often performed in outpatient clinics without prior scheduling a...

Research on Application of Meticulous Nursing Scheduling Management Based on Data-Driven Intelligent Optimization Technology.

The management of nursing scheduling in healthcare facilities have faced new challenges during the C...

Single-Shot Object Detection via Feature Enhancement and Channel Attention.

Features play a critical role in computer vision tasks. Deep learning methods have resulted in signi...

A Review of Multi-Modal Learning from the Text-Guided Visual Processing Viewpoint.

For decades, co-relating different data domains to attain the maximum potential of machines has driv...

Shape Memory Alloy-Based Wearables: A Review, and Conceptual Frameworks on HCI and HRI in Industry 4.0.

Ever since its discovery, the applications of Shape Memory Alloys (SMA) can be found across a range ...

Machine learning applications in gynecological cancer: A critical review.

Machine Learning (ML) represents a computer science capable of generating predictive models, by expo...

GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.

BACKGROUND: Accurately predicting drug-target binding affinity (DTA) in silico plays an important ro...

Deep learning based optimal energy management for photovoltaic and battery energy storage integrated home micro-grid system.

The development of the advanced metering infrastructure (AMI) and the application of artificial inte...

Tuberculosis Detection from Chest Radiographs: Stop Training Radiologists Now.

Artificial intelligence system for training diagnosis and differentiation with molar incisor hypomineralization (MIH) and similar pathologies.

OBJECTIVES: Molar incisor hypomineralization (MIH) is a difficult-to-diagnose developmental disorder...

Low precision decentralized distributed training over IID and non-IID data.

Decentralized distributed learning is the key to enabling large-scale machine learning (training) on...

Digital Stereotypes in HMI-The Influence of Feature Quantity Distribution in Deep Learning Models Training.

This paper proposes a concept of Digital Stereotypes, observed during research on quantitative overr...

Robot-assisted training with functional electrical stimulation enhances lower extremity function after spinal cord injury.

INTRODUCTION: Functional electrical stimulation (FES) synchronized with robot-assisted lower extremi...

Is Leg-Driven Treadmill-Based Exoskeleton Robot Training Beneficial to Poststroke Patients: A Systematic Review and Meta-analysis.

OBJECTIVE: The aim of the study is to systematically review the effects of leg-driven treadmill-base...

Comparison and Analysis of Several Clustering Algorithms for Pavement Crack Segmentation Guided by Computational Intelligence.

Cracks are one of the most common types of imperfections that can be found in concrete pavement, and...

Shape-Texture Debiased Training for Robust Template Matching.

Finding a template in a search image is an important task underlying many computer vision applicatio...