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 …

[HTML][HTML] DL-AMDet: Deep learning-based malware detector for android

AR Nasser, AM Hasan, AJ Humaidi - Intelligent Systems with Applications, 2024 - Elsevier
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 …

Synergetic Control Design Based Sparrow Search Optimization for Tracking Control of Driven-Pendulum System

H Al-Khazraji, K Al-Badri, R Al-Majeez… - Journal of Robotics …, 2024 - journal.umy.ac.id
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 …

[PDF][PDF] Comparative Study of Various Controllers Improved by Swarm Optimization for Nonlinear Active Suspension Systems with Actuator Saturation.

MA AL-Ali, OF Lutfy, H Al-Khazraj - International Journal of Intelligent …, 2024 - inass.org
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 …

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 …

[PDF][PDF] An optimized PID controller using enhanced bat algorithm in drilling processes

RM Naji, H Dulaimi, H Al-Khazraji - Journal Européen des …, 2024 - researchgate.net
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 …

[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 …

[HTML][HTML] Demand Forecasting in Supply Chain Using Uni-Regression Deep Approximate Forecasting Model

E Aldahmani, A Alzubi, K Iyiola - Applied Sciences, 2024 - mdpi.com
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 …

[PDF][PDF] Optimization of Sliding Mode and Back-Stepping Controllers for AMB Systems Using Gorilla Troops Algorithm

H Al-Khazraji, RM Naji… - Journal Européen des …, 2024 - researchgate.net
An active magnetic bearing (AMB) is a frictionless bearing used in high-speed motors and
other electromechanical products. Due to its open loop instability, utilization of controller is …

Optimal Backstepping and Feedback Linearization Controllers Design for Tracking Control of Magnetic Levitation System: A Comparative Study

FR Al-Ani, OF Lutfy, H Al-Khazraji - Journal of Robotics and …, 2024 - journal.umy.ac.id
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 …