Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Computer Science and Information Engineering

Utilization of Machine-Learning-Based model Hybridized with Meta-Heuristic Frameworks for estimation of Unconfined Compressive Strength

Utilization of Machine-Learning-Based model Hybridized with Meta-Heuristic Frameworks for estimation of Unconfined Compressive Strength

Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning

Predicting Optimum Moisture Content by the individual and hybrid approach of machine learning

SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption

SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption

An Effective and Efficient Renewable Energy Generation Forecasting via Meteorological Assistance

An Effective and Efficient Renewable Energy Generation Forecasting via Meteorological Assistance

Homotopy Analysis Method for Solving Fuzzy Variable – Order Fractional Partial Differential Equations with Proportional Delay

Homotopy Analysis Method for Solving Fuzzy Variable – Order Fractional Partial Differential Equations with Proportional Delay

A DI-SRM Model for Production Bottleneck Prediction in Flexible Production Line

A DI-SRM Model for Production Bottleneck Prediction in Flexible Production Line

Classroom Anomalous Behavior Detection based on Improved YOLOv5

Classroom Anomalous Behavior Detection based on Improved YOLOv5

Simulation research on space-ranging vector guidance system of tubular magnetic sources

Simulation research on space-ranging vector guidance system of tubular magnetic sources

Research on Near Ground Precision Application Navigation Technology of Plant Protection UAV Based on SRCKF-SLAM

Research on Near Ground Precision Application Navigation Technology of Plant Protection UAV Based on SRCKF-SLAM

Forecasting Residential Building Heating Load with an Innovative Gaussian Process Regression Method

Forecasting Residential Building Heating Load with an Innovative Gaussian Process Regression Method

The Cycle-consistent Adversarial Semantics-Texture Learning for Image Synthesis in Internet of Medical Things

The Cycle-consistent Adversarial Semantics-Texture Learning for Image Synthesis in Internet of Medical Things

Optimizing Heating Load Prediction for Enhanced Energy Conservation and Emissions Reduction: Integration of KNearest Neighbour Model with Meta-Heuristic Algorithms

Optimizing Heating Load Prediction for Enhanced Energy Conservation and Emissions Reduction: Integration of KNearest Neighbour Model with Meta-Heuristic Algorithms

Turnover prediction of employees has become a key focus for human resource specialists, as it is broadly viewed as a vital measure of an organization’s competitive edge. To this end, a new deep variational information bottleneck network based turnover prediction method is proposed for human resource management (TP-VIB). Specifically, The information bottleneck is utilized to model the turnover prediction task, and then variational inference method is used to obtain lower bound of the IB for optimizing representation learning and pattern mining networks within the deep framework. Furthermore, a entropy regularization term is designed to balance positive and negative class imbalances in employee turnover datasets. Finally, the experiment results demonstrate that TP-VIB sets a new baseline method for employee turnover prediction tasks

Turnover Prediction in Human Resource Management via Deep Variational Information Bottleneck

Student Performance Evaluation Technique by Applying Support Vector Classification and Metaheuristic Algorithms on the SVC Model’s Reliability

Student Performance Evaluation Technique by Applying Support Vector Classification and Metaheuristic Algorithms on the SVC Model’s Reliability

Cooling Load Forecasting Based on Hybrid Machine-Learning Application with Integration of Meta-heuristic Algorithm

Cooling Load Forecasting Based on Hybrid Machine-Learning Application with Integration of Meta-heuristic Algorithm

Research on Fault Identification Methods Based on MRMR and MKELM

Research on Fault Identification Methods Based on MRMR and MKELM

An aggregation method for solving problems of multicriteria decision making using ordered weighted averaging operators and generalized mixture operators

An aggregation method for solving problems of multicriteria decision making using ordered weighted averaging operators and generalized mixture operators

A Method for Identifying the State of Cabinet Panel Switches Based on Improved Convolutional Neural Networks

A Method for Identifying the State of Cabinet Panel Switches Based on Improved Convolutional Neural Networks

A Novel Business Administration Big Data Clustering Optimization Method Based on Active Density Peak and Salpa Swarm Algorithm

A Novel Business Administration Big Data Clustering Optimization Method Based on Active Density Peak and Salpa Swarm Algorithm

Energy-Efficient Hybrid Protocol with Optimization Inference Model for WBANs

Energy-Efficient Hybrid Protocol with Optimization Inference Model for WBANs

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