Mourad Nouioua

ORCID: 0000-0003-0439-2112
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About
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Research Areas
  • Advanced machining processes and optimization
  • Advanced Machining and Optimization Techniques
  • Advanced Surface Polishing Techniques
  • Data Mining Algorithms and Applications
  • Metaheuristic Optimization Algorithms Research
  • Advanced Multi-Objective Optimization Algorithms
  • Rough Sets and Fuzzy Logic
  • Manufacturing Process and Optimization
  • Evolutionary Algorithms and Applications
  • Complex Network Analysis Techniques
  • Advanced Graph Neural Networks
  • Machine Fault Diagnosis Techniques
  • Metallurgy and Material Forming
  • Geotechnical Engineering and Underground Structures
  • Structural Integrity and Reliability Analysis
  • Microstructure and Mechanical Properties of Steels
  • Gear and Bearing Dynamics Analysis
  • Software System Performance and Reliability
  • Optimal Experimental Design Methods
  • Data Management and Algorithms
  • Time Series Analysis and Forecasting
  • Advanced Manufacturing and Logistics Optimization
  • Additive Manufacturing Materials and Processes
  • Vehicle License Plate Recognition
  • Blockchain Technology Applications and Security

King Fahd University of Petroleum and Minerals
2025

University Frères Mentouri Constantine 1
2021-2023

University Mohamed El Bachir El Ibrahimi of Bordj Bou Arreridj
2021-2023

University of Guelma
2016-2022

Shenzhen Institute of Information Technology
2022

Harbin Institute of Technology
2021-2022

Hunan University
2017-2018

The purpose of this experimental work is to study the impact machining parameters ( Vc, ap, and f) on surface roughness criteria Ra, Rz, Rt) as well cutting force components Fx, Fy, Fz), during dry turning martensitic stainless steel (AISI 420) treated at 59 hardness Rockwell cone. tests were carried out using coated mixed ceramic cutting-insert (CC6050) according Taguchi design (L 25 ). Analysis variance (ANOVA) Pareto graphs made it possible quantify contributions output parameters....

10.1177/0954406218820557 article EN Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2019-01-08

The gear tooth profile significantly influences the key operating parameters of pairs. By appropriately modifying profile, vibration and noise system can be greatly reduced. In this study, four advanced optimization techniques are applied to determine optimal geometric a cylindrical spur gear. problem is formulated with three mixed design variables: shift coefficients normal pressure angle. objectives include minimizing maximum specific sliding, sliding velocity, nominal stresses at pinion...

10.1177/09544062251317105 article EN Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2025-02-12

High utility itemset mining is a well-studied data task for analyzing customer transactions. The goal to find all high itemsets, that items purchased together generate profit equal or greater than user-defined minimum threshold. However, limitation of traditional algorithms item categories (e.g. drinks, dairy products) are ignored. Recently, two were designed multi-level and cross-level itemsets reveal relationships between and/or items. This achieved by considering product taxonomy, where...

10.1109/icdmw51313.2020.00095 article EN 2021 International Conference on Data Mining Workshops (ICDMW) 2020-11-01

In this article, a new hybrid improved differential evolution and Nelder-Mead (IDE-NM) is introduced for optimizing the multi-objective machining process during turning operation under three modes of lubrication conditions. The fitness functions are tangential cutting force, surface roughness, power. Five mixed design variables considered in optimization procedure including speed, feed rate, depth cut, mode lubrication, type material. mathematical expressions objectives created based on...

10.1177/09544062231195472 article EN Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science 2023-08-26
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