Practice Management

Staffing & Scheduling

Latest AI and machine learning research in staffing & scheduling for healthcare professionals.

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Machine Learning-Driven Enterprise Human Resource Management Optimization and Its Application.

With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitmen...

Aug 2022 35958761
Performance Optimization of Industrial Supply Chain Using Artificial Intelligence.

Nowadays, organized retailing has witnessed a newer trend in the upcoming generations. Globally, the...

Jul 2022 35942447
Design of Human Resource Management System Based on Deep Learning.

With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitmen...

Jul 2022 35909850
A personalized deep learning denoising strategy for low-count PET images.

. Deep learning denoising networks are typically trained with images that are representative of the ...

Jul 2022 35697017
Adjustable Parameters and the Effectiveness of Adjunct Robot-Assisted Gait Training in Individuals with Chronic Stroke.

The aims of this study were (1) to compare the effect of robot-assisted gait orthosis (RAGO) plus co...

Jul 2022 35805845
Design of Travel Route Identification and Scheduling System Based on Artificial Intelligence-Aided Image Segmentation.

This study designs a travel recognition and scheduling system using artificial intelligence and imag...

Jul 2022 35832253
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...

Jun 2022 35808396
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...

Jun 2022 35800683
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...

Jun 2022 35795728
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...

Jun 2022 35785075
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...

Jun 2022 35763879
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...

Jun 2022 35704609
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...

Jun 2022 35756413
Structure of cytoplasmic ring of nuclear pore complex by integrative cryo-EM and AlphaFold.

INTRODUCTION The nuclear pore complex (NPC) is the molecular conduit in the nuclear membrane of euka...

Jun 2022 35679401
A Novel Interannual Rainfall Runoff Equation Derived from Ol'Dekop's Model Using Artificial Neural Networks.

In water resources management, modeling water balance factors is necessary to control dams, agricult...

Jun 2022 35746130
Deep Learning-Based Method for Compound Identification in NMR Spectra of Mixtures.

Nuclear magnetic resonance (NMR) spectroscopy is highly unbiased and reproducible, which provides us...

Jun 2022 35744782
Improving work detection by segmentation heuristics pre-training on factory operations video.

The measurement of work time for individual tasks by using video has made a significant contribution...

Jun 2022 35671292
The current status of robotic colorectal surgery training programmes.

Robotic-assisted colorectal surgery (RACS) is steadily increasing in popularity with an annual growt...

Jun 2022 35657506
Accelerating multi-echo chemical shift encoded water-fat MRI using model-guided deep learning.

PURPOSE: To accelerate chemical shift encoded (CSE) water-fat imaging by applying a model-guided dee...

Jun 2022 35649172
Characteristic Analysis and Route Optimization of Heterogeneous Neural Network in Logistics Allocation System.

Logistics distribution vehicle scheduling plays an important role in the supply chain. With the wide...

May 2022 35685131
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