Staffing & Scheduling

Human Resource Demand Prediction and Configuration Model Based on Grey Wolf Optimization and Recurrent Neural Network.

Business development is dependent on a well-structured human resources (HR) system that maximizes the efficiency of an organization's human resources input and output. It is tough to provide adequate instructions for HR's unique task. In a time when the domestic labor market is still maturing, it is difficult for companies to make successful adjustments in HR structures to meet fluctuations in dem...

MEEMD Decomposition-Prediction-Reconstruction Model of Precipitation Time Series.

To address the problem of low prediction accuracy of precipitation time series data, an improved overall mean empirical modal decomposition-prediction-reconstruction model (MDPRM) is constructed in this paper. First, the non-stationary precipitation time series are decomposed into multiple decomposition terms by the improved overall mean empirical modal decomposition (MEEMD). Then, a particle swar...

Domain generalization in deep learning based mass detection in mammography: A large-scale multi-center study.

Computer-aided detection systems based on deep learning have shown great potential in breast cancer detection. However, the lack of domain generalizat...

An Improved Load Forecasting Method Based on the Transfer Learning Structure under Cyber-Threat Condition.

Smart grid is regarded as an evolutionary regime of existing power grids. It integrates artificial intelligence and communication technologies to fund...

Systematic Literature Review on Visual Analytics of Predictive Maintenance in the Manufacturing Industry.

The widespread adoption of cyber-physical systems and other cutting-edge digital technology in manufacturing industry production facilities may motiva...

AdaDiag: Adversarial Domain Adaptation of Diagnostic Prediction with Clinical Event Sequences.

Early detection of heart failure (HF) can provide patients with the opportunity for more timely intervention and better disease management, as well as...

Intraoperative Detection of Surgical Gauze Using Deep Convolutional Neural Network.

During laparoscopic surgery, surgical gauze is usually inserted into the body cavity to help achieve hemostasis. Retention of surgical gauze in the bo...

Human Resource Data Integration System Based on Artificial Intelligence Environment.

In an AI environment, this article suggests an HR data integration system based on a hidden semantic model to address the low integration of HR raw da...

Multi-Model Running Latency Optimization in an Edge Computing Paradigm.

Recent advances in both lightweight deep learning algorithms and edge computing increasingly enable multiple model inference tasks to be conducted con...

The Leaf Clinical Trials Corpus: a new resource for query generation from clinical trial eligibility criteria.

Identifying cohorts of patients based on eligibility criteria such as medical conditions, procedures, and medication use is critical to recruitment fo...

Construction of Hospital Human Resource Information Management System under the Background of Artificial Intelligence.

Under the background of artificial intelligence (AI), a human resource information management system was designed to facilitate hospital human resourc...

Federated learning with workload-aware client scheduling in heterogeneous systems.

Federated Learning (FL) is a novel distributed machine learning, which allows thousands of edge devices to train models locally without uploading data...

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 recruitment information through the Internet is getting high...

CSatDTA: Prediction of Drug-Target Binding Affinity Using Convolution Model with Self-Attention.

Drug discovery, which aids to identify potential novel treatments, entails a broad range of fields of science, including chemistry, pharmacology, and ...

Performance Optimization of Industrial Supply Chain Using Artificial Intelligence.

Nowadays, organized retailing has witnessed a newer trend in the upcoming generations. Globally, these changes are attributed to growing family income...

An Integrated Approach Fusing CEEMD Energy Entropy and Sparrow Search Algorithm-Based PNN for Fault Diagnosis of Rolling Bearings.

This paper solves the problem of difficulty in achieving satisfactory results with traditional methods of bearing fault diagnosis, which can effective...

Identification of Nonvolatile Migrates from Food Contact Materials Using Ion Mobility-High-Resolution Mass Spectrometry and in Silico Prediction Tools.

The identification of migrates from food contact materials (FCMs) is challenging due to the complex matrices and limited availability of commercial st...

Design of Human Resource Management System Based on Deep Learning.

With the advent of the Internet era, the frequency and proportion of candidates obtaining recruitment information through the Internet is getting high...

Machine learning-assisted non-target analysis of a highly complex mixture of possible toxic unsymmetrical dimethylhydrazine transformation products with chromatography-mass spectrometry.

Unsymmetrical dimethylhydrazine (UDMH) is a toxic and environmentally hostile compound that was massively introduced to the environment during previou...

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 testing data. Due to the large variability of the ...