Journal of Applied Science and Engineering

Published by Tamkang University Press

1.30

Impact Factor

2.10

CiteScore

Volume 28, Issue 4

Multi-granularity Contrastive Learning for Tourism Recommendation

Multi-granularity Contrastive Learning for Tourism Recommendation

A PQ Control Strategy using Feedback Linearization Theory for a Three-phase Four-wire Grid-Connected Inverter in an AC Battery

A PQ Control Strategy using Feedback Linearization Theory for a Three-phase Four-wire Grid-Connected Inverter in an AC Battery

Design Of CCM Boost Converter Using Fractional-Order Pid and Backstepping Techniques for Power Factor Correction

Design Of CCM Boost Converter Using Fractional-Order Pid and Backstepping Techniques for Power Factor Correction

Stochastic Operation of Multi-Carrier Microgrid Leveraging Dynamic

Stochastic Operation of Multi-Carrier Microgrid Leveraging Dynamic

Ni Layer Fabrication in Various Temperature of Watts Solution

Ni Layer Fabrication in Various Temperature of Watts Solution

A New Onboard Calibration Strategy for Three-Axis Magnetometers in Low Earth Orbit Satellites

A New Onboard Calibration Strategy for Three-Axis Magnetometers in Low Earth Orbit Satellites

Optical Solution Parameter Dynamics By Variational Principle: Parabolic And Dual–Power Laws (Super–Gaussian And Super–Sech Pulses)

Optical Solution Parameter Dynamics By Variational Principle: Parabolic And Dual–Power Laws (Super–Gaussian And Super–Sech Pulses)

Approach for determining cut-off values for electric motorcycle swap battery before the end-of-life in the recycling classification

Approach for determining cut-off values for electric motorcycle swap battery before the end-of-life in the recycling classification

Similarity Solution of Unsteady Convective MHD Flow of Viscous Incompressible Fluid Over an Inclined Porous Surface with Ohmic Heating and Viscous Dissipation

Similarity Solution of Unsteady Convective MHD Flow of Viscous Incompressible Fluid Over an Inclined Porous Surface with Ohmic Heating and Viscous Dissipation

Research on Settlement Control and Slope Stability of Prefabricated Beam Field for High Fill Roadbed in Mountain Areas

Research on Settlement Control and Slope Stability of Prefabricated Beam Field for High Fill Roadbed in Mountain Areas

$Estimates of ARL1 for four control charts in the case of p0 = 0.01 and different shifts of nonconforming fraction$

Improved Wald Transformation p-Chart for Nonconforming Fraction

Evaluation of Wire Mesh Electrowet Coalescer to Remove Emulsified Water from Diesel Fuel

Evaluation of Wire Mesh Electrowet Coalescer to Remove Emulsified Water from Diesel Fuel

Utilizing Gaussian Process Regression Model Enhanced by Metaheuristic Algorithms to Forecast Undrained Shear Strength

Utilizing Gaussian Process Regression Model Enhanced by Metaheuristic Algorithms to Forecast Undrained Shear Strength

Experimental study on corrosion behavior of N20 steel by HCO3- concentration in multiple-ions coexisting oilfield produced water

Experimental study on corrosion behavior of N20 steel by HCO3- concentration in multiple-ions coexisting oilfield produced water

Solution of Linear Fuzzy Stochastic Ordinary Differential Equations Using Homotopy Perturbation Method

Solution of Linear Fuzzy Stochastic Ordinary Differential Equations Using Homotopy Perturbation Method

New Class of Generalized Convex Functions and Its Applications to Optimization Problems

New Class of Generalized Convex Functions and Its Applications to Optimization Problems

An interactive deep learning method for fine-grained image classification

An interactive deep learning method for fine-grained image classification

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

Design and Implementation of Water Jet Device

Design and Implementation of Water Jet Device

Motion simulation and finite element analysis of knee prosthesis with implant

Motion simulation and finite element analysis of knee prosthesis with implant