Staffing & Scheduling

More than surgical tools: a systematic review of robots as didactic tools for the education of professionals in health sciences.

Within the field of robots in medical education, most of the work done during the last years has foc...

On-chip bacterial foraging training in silicon photonic circuits for projection-enabled nonlinear classification.

On-chip training remains a challenging issue for photonic devices to implement machine learning algo...

A Resilient and Effective Task Scheduling Approach for Industrial Human-Robot Collaboration.

Effective task scheduling in human-robot collaboration (HRC) scenarios is one of the great challenge...

Automatic ECG classification and label quality in training data.

Within the PhysioNet/Computing in Cardiology Challenge 2021, we focused on the design of a machine l...

Deep Learning-Based Optimization Algorithm for Enterprise Personnel Identity Authentication.

Enterprise strategic management is not only an important part of enterprise work, but also an import...

Application of Human Posture Recognition Based on the Convolutional Neural Network in Physical Training Guidance.

The application of sports game video analysis in athlete training and competition analysis feedback ...

Improving Robotic Skills by Video Review.

Since the transition of surgical robot systems into the medical field, physicians have had to devel...

Construction of a Landscape Design and Greenery Maintenance Scheduling System Based on Multimodal Intelligent Computing and Deep Neural Networks.

Digitalization brings challenges and new opportunities to the development of landscape gardening, "s...

A Prediction Model of Human Resources Recruitment Demand Based on Convolutional Collaborative BP Neural Network.

This paper presents an in-depth study and analysis of the prediction model of force resource recruit...

Evaluation Method of Physical Education Teaching and Training Quality Based on Deep Learning.

To solve the problems of great difficulty and low accuracy in the evaluation of physical education t...

Decoupling RNN Training and Testing Observation Intervals for Spectrum Sensing Applications.

Recurrent neural networks have been shown to outperform other architectures when processing temporal...

College Organizational Innovation Performance-Oriented Internal Mechanism Analysis Using Lightweight Deep Learning under Health Psychology.

The purpose is to improve employees' initiative and innovation performance and further improve the o...

Deep learning-based quantitative susceptibility mapping (QSM) in the presence of fat using synthetically generated multi-echo phase training data.

PURPOSE: To enable a fast and automatic deep learning-based QSM reconstruction of tissues with diver...

Proficiency-based progression training for robotic surgery skills training: a randomized clinical trial.

OBJECTIVE: To determine whether proficiency-based progression (PBP) training leads to better robotic...

Approximation in shift-invariant spaces with deep ReLU neural networks.

We study the expressive power of deep ReLU neural networks for approximating functions in dilated sh...

Cephalometric Analysis in Orthodontics Using Artificial Intelligence-A Comprehensive Review.

Artificial intelligence (AI) is a branch of science concerned with developing programs and computers...

AICellCounter: A Machine Learning-Based Automated Cell Counting Tool Requiring Only One Image for Training.

Training much deeper spiking neural networks with a small number of time-steps.

Spiking Neural Network (SNN) is a promising energy-efficient neural architecture when implemented on...

Improving the robustness and accuracy of biomedical language models through adversarial training.

Deep transformer neural network models have improved the predictive accuracy of intelligent text pro...

Neuromorphic computing chip with spatiotemporal elasticity for multi-intelligent-tasking robots.

Recent advances in artificial intelligence have enhanced the abilities of mobile robots in dealing w...

Contemporary Value Assessment of Marxist Ideology under the Context of Deep Learning.

As a conceptual superstructure, ideology plays a very important role in national security, social st...