Dissecting the compensation conundrum: a machine learning-based prognostication of key determinants in a complex labor market
R Jaiswal, S Gupta, AK Tiwari - Management Decision, 2023 - emerald.com
Purpose Amidst the turbulent tides of geopolitical uncertainty and pandemic-induced
economic disruptions, the information technology industry grapples with alarming attrition …
economic disruptions, the information technology industry grapples with alarming attrition …
[HTML][HTML] DL-AMDet: Deep learning-based malware detector for android
The Android operating system, with its market share leadership and open-source nature in
smartphones, has become the primary target of malware. However, detecting malicious …
smartphones, has become the primary target of malware. However, detecting malicious …
Synergetic control design based sparrow search optimization for tracking control of driven-pendulum system
This study investigates the performance of designing a Synergetic Control (SC) approach for
angular position tracking control of driven-pendulum systems. SC is one of the popular …
angular position tracking control of driven-pendulum systems. SC is one of the popular …
Bee algorithm based control design for two-links robot arm systems
RA Kadhim, MQ Kadhim, H Al-Khazraji… - IIUM Engineering …, 2024 - journals.iium.edu.my
This paper presents a comparative study between two advance versions of the classical
Proportional-Integral-Derivative (PID) controller including the Proportional Integral minus …
Proportional-Integral-Derivative (PID) controller including the Proportional Integral minus …
[PDF][PDF] Comparative Study of Various Controllers Improved by Swarm Optimization for Nonlinear Active Suspension Systems with Actuator Saturation.
The active suspension systems offer substantial benefits in ride comfort, handling control
over traditional passive systems. In this paper, the evaluation of various controllers including …
over traditional passive systems. In this paper, the evaluation of various controllers including …
[PDF][PDF] An optimized PID controller using enhanced bat algorithm in drilling processes
Drilling operation has a direct impact on the quality of the production. Insufficiently
controlling the cutting force during the drilling process leads to the risk of early drill failure …
controlling the cutting force during the drilling process leads to the risk of early drill failure …
Optimal Backstep** and Feedback Linearization Controllers Design for Tracking Control of Magnetic Levitation System: A Comparative Study
In this paper, the stabilization and trajectory tracking of the magnetic levitation (Maglev)
system using optimal nonlinear controllers are considered. Firstly, the overall structure and …
system using optimal nonlinear controllers are considered. Firstly, the overall structure and …
Optimal Synergetic and Feedback Linearization Controllers Design for Magnetic Levitation Systems: A Comparative Study
In this paper, the stabilization and trajectory tracking of the magnetic levitation (Maglev)
system using optimal nonlinear controllers are investigated. Firstly, the overall structure and …
system using optimal nonlinear controllers are investigated. Firstly, the overall structure and …
[PDF][PDF] Optimal Control Design for Propeller Pendulum Systems Using Gorilla Troops Optimization.
AK Ahmed, H Al-Khazraji - Journal Européen des Systèmes …, 2023 - researchgate.net
This study conducts a comprehensive examination of the nonlinear propeller pendulum
system's angular position control, utilizing three distinct control strategies: Proportional …
system's angular position control, utilizing three distinct control strategies: Proportional …
[HTML][HTML] Demand Forecasting in Supply Chain Using Uni-Regression Deep Approximate Forecasting Model
This research presents a uni-regression deep approximate forecasting model for predicting
future demand in supply chains, tackling issues like complex patterns, external factors, and …
future demand in supply chains, tackling issues like complex patterns, external factors, and …