A5089572727- Magnetic and transport properties of perovskites and related materials
- Heusler alloys: electronic and magnetic properties
- Advanced Condensed Matter Physics
- Multiferroics and related materials
- Theoretical and Computational Physics
- Magnetic properties of thin films
- Service-Oriented Architecture and Web Services
- Advanced Thermoelectric Materials and Devices
- MXene and MAX Phase Materials
- Model-Driven Software Engineering Techniques
- Business Process Modeling and Analysis
- Artificial Intelligence in Healthcare
- Graphene research and applications
- Rare-earth and actinide compounds
- Chalcogenide Semiconductor Thin Films
- Dendrimers and Hyperbranched Polymers
- Video Surveillance and Tracking Methods
- Magnetic Properties of Alloys
- Machine Learning in Healthcare
- COVID-19 diagnosis using AI
- Cloud Data Security Solutions
- nanoparticles nucleation surface interactions
- Magnetic Properties and Applications
- 2D Materials and Applications
- Software Engineering Techniques and Practices
Mohammed V University
2016-2025
Intelligent Systems Research (United States)
2019
Université Moulay Ismail de Meknes
2019
In the realm of medicine, artificial intelligence (AI) has emerged as a transformative force, harnessing power to convert raw data into meaningful insights. Rather than supplanting discernment physicians, AI serves an unprecedented enabler, equipping them with unimaginable tools. Its far-reaching applications encompass drug discovery, disease diagnosis, prognosis, treatment optimization, and outcome prediction. This technological revolution owes much prowess machine learning algorithms,...
Purpose In this paper, using Monte Carlo simulations (MCSs) under the metropolis algorithm, authors study magnetic properties of yttrium-based Heusler alloys: Y 2 CrGa and YFeCrGa. first step, elaborate discuss ground-state phase diagrams more stable configurations. It is worth to note that full-Heusler alloy contains only one atom (Cr), while quaternary YFeCrGa has two atoms (Cr Fe). This leads modeling compound by a Hamiltonian containing spin moment ( S = 2), modeled moments Q 5/2 s 2)....
ABSTRACT In ecological investigations, the characterisation of plant and animal assemblages is carried out by implementing different numerical methods, based on species abundances richness. This paper provides a detailed description method for characterising assemblages, which uses both ‘preference degree’ species. latter parameter measured each sample habitats using its abundance profile in this sample; preference calculated an index derived from Shannon formula, largely used to estimate...
This study evaluates the role and impact of artificial intelligence (AI) in supply chain management (SCM). Following a five-step process, review covered academic publications from 2000 to 2024, drawing different databases. The identified 426 relevant articles for analysis, focusing on AI techniques. analysis explored their applications, advantages, barriers adoption SCM. also discussed key challenges, including financial, organizational, strategic, technological, legal barriers. findings...