Soumia Ziti

• Doctor of Computer Science
• Full professor at Mohammed V University in Rabat

Predicting molecular and quantum material properties, especially the band gap, is crucial for accelerating discoveries in drug design and material science. Although graph neural networks and probabilistic encoders are well established in molecular data analysis, their targeted integration and application for band-gap prediction remain an active res...

The improvement of software engineering practices, particularly in the field of software testing, requires an understanding of the historical evolution and current trends in testing methodologies. In this work, we present a bibliometric analysis of articles related to software testing in classical approaches, specifically for the waterfall and the...

There is a possibility that deepfakes will increase a great deal of false information in a very realistic way, but it seems that today such technology appears to be extremely dangerous. While generative Artificial Intelligence (AI) does expand possibilities and give an opportunity to achieve terrific outcomes and has innumerable potential uses. Thi...

Entrepreneurship education in Morocco has evolved beyond the classroom, becoming integral to national education policy. It now focuses on equipping students at all levels with entrepreneurial skills, emphasizing opportunity perception, idea generation, resource organization, and implementation rather than just business creation. The current work hi...

Despite its advances, face recognition (FR) technology confronts significant challenges, especially in adverse conditions such as varying lighting, facial expressions, poses, and aging effects, which necessitate the development of more robust and accurate recognition algorithms. The importance of face recognition for social robotics lies in its abi...

Digital immortality, the idea of endless life and ultimate happiness in a virtual afterlife, has become a subject of human fascination. This article reports the results of a comprehensive research project focused on identifying the challenges and potential options related to digital immortality. Analyzing 39 relevant studies, our research concentra...

Heart disease, diabetes, and breast cancer pose significant global health challenges, and effectively addressing these chronic diseases necessitates a coordinated international effort. The integration of machine learning and predictive analytics offers promising solutions for tackling these issues. Our study presents a unified model that utilizes t...

In ecological investigations, the characterisation of plant and animal assemblages is carried out by implementing different numerical methods, based on the species abundances and richness. This paper provides a detailed description of a method for characterising assemblages, which uses both abundances and ‘preference degree’ of species. This latter...

The widespread adoption of the Internet of Things (IoT) has led to a notable rise in the number of interconnected smart devices. Within this IoT environment, we perceive an immense diversity of IoT devices originating from numerous manufacturing entities. They differ in size, form, storage, and processing capability, as well as in their set of feat...

The acquisition of soft skills is crucial for personal and professional development in today's fast-paced world. Online learning platforms have emerged as a popular means of delivering soft skills training to learners worldwide. However, adapting the learning content to the individual needs of learners can be a challenging task, resulting in reduce...

There are many difficulties in growing tomatoes, such as erratic weather patterns, variable yields, and short shelf lives. Tomatoes are a staple food that is grown all throughout the world, particularly in climate-friendly areas such as Morocco. These areas are not free from the difficulties that present major obstacles for farmers, though. Modern...

This study extends the formulation of a tracking system for both live items and living persons, and gives a thorough theoretical framework for an advanced tracking system. A large number of tracking systems in use today were created inside certain frameworks and designed to monitor in either infinite or restricted spatial contexts. The latter typic...

Human Resource Management faces the ongoing challenge of identifying top-performing candidates to enhance organizational success. Traditional recruitment methods heavily rely on assessing hard skills alone, overlooking the importance of soft skills in identifying individuals who excel in their roles. To address this, our paper introduces a novel pr...

Multimodal data fusion is a powerful methodology for improving the accuracy of biometric authentication systems that use modalities such as face, voice, and fingerprints. Essentially, there are two stages of data fusion in biometric systems: pre-classification fusion (prior to matching) and post-classification fusion (after matching). The primary o...

The catastrophic earthquake that struck Morocco on September 8, 2023, garnered significant media coverage, leading to the swift dissemination of information across various social media and online plat- forms. However, the heightened visibility also gave rise to a surge in fake news, presenting formidable challenges to the efficient distribution of...

This paper presents a theoretical framework for a tracking system, wherein we generalize the formulation of a tracking system de- signed for living beings and objects. Many tracking systems are typically developed within specific frameworks, either for tracking in limited or unlimited space. The latter often relies on technical tools dedicated to t...

The integration of machine learning (ML) techniques is now indispensable in healthcare, especially in addressing the challenges posed by chronic illnesses, which present a significant global health concern due to their unpredictable nature. This study compares ML techniques employed in the diagnosis and treatment of chronic conditions such as diabe...

The pharmacy industry is highly focused on drug discovery and development for the identification and optimization of potential drug candidates. One of the key aspects of this process is the prediction of various molecular properties that justify their potential effectiveness in treating specific diseases. Recently, graph neural networks have gained...

Misinformation is a pervasive issue in today’s society, with the spread of false or misleading information having potentially far-reaching consequences. In recent years, there has been a growing interest in using Artificial Intelligence (AI) technologies, such as Natural Language Processing (NLP) and machine learning, to detect and combat the sprea...

The Human Resources sector faces a formidable challenge in identifying candidates who can seamlessly integrate into diverse organizational settings and contribute to overall success. The repercussions of suboptimal recruitment practices are profound, casting a shadow over an organization’s trajectory and development. Soft skills, encompassing perso...

Background: This study evaluates the performance of a vision transformer (ViT) model, ViT-b16, in classifying ischemic stroke cases from Moroccan MRI scans and compares it to the Visual Geometry Group 16 (VGG-16) model used in a prior study. Methods: A dataset of 342 MRI scans, categorized into ‘Normal’ and ’Stroke’ classes, underwent preprocessing...

Artificial intelligence and intelligent CCTV systems have been the center of critical research in later a long time due to their potential to move forward patient safety and care. These technologies can be used to monitor patients in real time, identify and alert healthcare workers to potential problems, and automate routine tasks. In addition to i...

After a significant increase in data traffic and the discovery of many limitations of the long-term evolution, also known as fourth-generation 4G, the world was introduced to fifth-generation 5G. On the one hand, these limitations concern the latency and the size of the bandwidth for downloading, uploading, and streaming videos online and other fea...

This study presents a comprehensive exploration of deep learning models for precise brain ischemic stroke classification using medical data from Morocco. Following the OSEMN approach, our methodology leverages transfer learning with the VGG-16 architecture and employs data augmentation techniques to enhance model performance. Our developed model ac...

Agile software engineering is an iterative and incremental development methodology that fosters collaboration and adaptability. Its application in healthcare has been successful in creating software applications that cater to providers and patients. Despite the complex nature of healthcare systems and regulatory compliance, researchers have explore...

The widespread recognition of graph theory's benefits in software engineering, particularly for software testing, is well-established. Its potential is equally significant in the medical field, where software quality profoundly influences patient safety and healthcare outcomes. This paper presents a comparative analysis of research papers investiga...

We presents a comprehensive approach for refactoring healthcare systems using natural language processing (NLP), Command Query Responsibility Segregation (CQRS), and Gang of four (GoF) design patterns. The proposed method aims to improve performance, scalability, and maintainability without altering the system’s external behavior. It encompasses th...

The Deaf and Hard of Hearing (DHH) community faces significant communication challenges in various sectors, especially in healthcare settings where effective communication is crucial for proper diagnosis and treatment. Communication barriers between healthcare providers and DHH patients are many and varied, leading to misunderstandings, misdiagnose...

Diabetes is a pressing global health concern, as it is the leading cause of death worldwide and is closely associated with a range of severe complications, including kidney disease, vision loss, and cardiovascular disease. Early detection and effective management of this chronic condition are crucial to mitigate its adverse impacts on patient outco...

lockchain technology has gained significant attention over the years for its potential to revolutionize various industries, including finance, supply chain management, agriculture, and healthcare. The key feature that makes blockchain technology secure and transparent is its decentralized nature, which relies on a network of nodes to validate trans...

An innovative approach to the collection of unplanned municipal waste through the integration of an Internet of Things (IoT) enabled system in urban settings is presented. Despite significant strides in waste management optimisation, traditional systems have largely overlooked the management of occasional or seasonal waste such as green waste, wild...

The integration of data science and innovation is revolutionizing the digitalization of scientific publications. By employing techniques such as text mining, natural language processing, and citation analysis, data science enables the extraction of valuable insights from vast amounts of scholarly content. Open access initiatives and platforms, driv...

In order to enable effective communication with the deaf community, accurate recognition of sign language gestures is of paramount importance. This poster presents an innovative approach called multi�modal sign language recognition, which leverages multiple modalities to enhance the accuracy of recognition systems. By integrating vision, motion, an...

Pedestrians are the most susceptible object on the road in terms of traffic safety, especially in urban areas. A system built for this purpose must be able to perform in a crowded environment and in real time with great precision. The field of computer vision and Deep Learning algorithms attempted to assist with this challenge and made significant...

Fake news is a severe problem on social media networks, with confirmed detrimental consequences for individuals and organizations. As a result, detecting false news is a significant difficulty. In this way, the topic of new fakes and their proper detection are crucial. General knowledge states that the receiver of information must verify the source...

Recruiting candidates who will perform well within any organization has become a challenge in the Human Resources sector. Generally, poor recruitment can negatively reflect the progression and evolution of the organism. Soft skills are personality traits and behaviors wanted by recruiters to provide high performance, and they are the skills that wi...

Currently the world of blockchain is evolving day by day and makes us discover new solutions in the world of information technology since it offers us an inescapable solution that has made the revolution in terms of the problem of security and decentralization of data (communications, transfers and transactions without going through a 3rd party) wh...

The Foreign Exchange (FOREX) market is a financial market with a daily volume of around $6.6 trillion. The importance of Forex as the largest market in the world, traders need to have a trading plan to make profits and be a successful trader. A forex trading strategy defines a system that a forex trader uses to determine when to buy or sell a curre...

New storage requirements, analysis, and visualization of Big Data, which includes structured, semi-structured, and unstructured data, have caused the developers in the past decade to begin preferring Big Data databases, such as NoSQL, that comes to overcome the boundaries of relational Databases such as unlimited scalability, high performance, data...

The NoSQL Databases are often vulnerable face to internal and external attacks. Attackers can easily access to sensitive data using different ways and methods particularly in a critical or strategic environments. Data encryption is considered as an efficient and effective security method for protecting sensitive data in transit and at rest. However...

The mastery of the development cycle of a project, especially in software development, has become a need and an unavoidable necessity to produce a deliverable with value. Thus, to satisfy the requirements of users who have become more volatile. In this regard, the Agile manifesto, or Manifesto for Agile software development, has been proposed to br...

Investing in the financial markets demands the ability to change perspectives over time. For the gold market gold has many benefits for investors, its intrinsic value makes it ideal for moving wealth internationally and investing long term, the value of gold goes up and down and changes with the market but is never worth anything. That is why trade...

Soft skills are mostly difficult to assess and teach. These skills are neither completely tangible nor measurable. Yet, they are essential qualities for any organization that seeks to innovate and boost the productivity of its work teams. The recent educational environment is constantly developing, and despite the fact that they attach increasing i...

Tracking of human beings, as well as objects, becomes a great challenge currently presented, it aims to understand the fundamental principles of objects and human beings detected to associate them with robust systems for treaties and draw the desired conclusions. Tracking generally uses several methods such as graph theory, technological tools, Int...

In a connected world, the growing attention given to the IoT (Internet of Things) is driven by its economic, societal, and ecological impact among others as well as its vast applications and services.The insights provided by these applications and services are based on the data gathered from different networks of IoT sensors. A poor quality of data...

Recently, the ability of artificial intelligence to transform data into information has affected the field of medicine. Indeed, artificial intelligence (AI) has been implemented in disease diagnosis and prognosis, treatment optimization and outcome prediction, drug development, and public health. This technological and especially medical advancemen...

Tuberculosis (TB) is a serious lung infection that can lead the person to death and it’s most common in the developing countries.To confirm the diagnosis of the TB, it is necessary to pass by a chest imaging, which needs a radiologist’s interpretations.Unfortunately these interpretations are not always accurate and the other issue is the lack of ra...

The web application development industry is constantly growing due to the extensive use of web applications in different devices, most of them run on Android, iOS, and Windows Phone operating systems. However, the development of applications designed for platforms requires more concerns such as code efficiency, interaction with devices, and speed o...

With the massive development of end-users requirements, the model alignment has become an essential stage in software engineering, especially in the model driven architecture (MDA) approach, to absorb the end-user’s need. The purpose is to facilitate the alignment of new models from existing ones. Our contribution in this paper is to deal with the...

With the massive growth of the software sector as well as the erratic needs of end users, agent-based information systems and Model Driven Architecture (MDA) approach are among the liveliest and significant fields of experimentation and improvement to emerge in the recent decade. In this vein, we suggest in this research an innovative method that a...

In this paper, we study the critical magnetic properties of the Half Heusler alloy RhCrSi, using Monte Carlo simulations (MCS) under the Metropolis algorithm. In fact, to study this alloy, we apply an Ising model using the MCS simulations, we concentrate only on the magnetic atoms: Rh and Cr. For this purpose, these magnetic atoms are modeled by th...

In this paper, the structural, electronic and optical properties of inorganic fluoroperovskites CsMF3 (M = Si or Ge) are investigated by using the density functional theory calculations (DFT) with the generalized gradient approximation of Perdew–Burke–Ernzerhof (GGA-PBE). The optimized equilibrium lattice parameters of the studied compounds are cal...

Behavior and interaction design have become a significant step in the modeling and understanding of any business information system. Thus, the mission is to join the immense growth of the software industry and the unpredictable needs of end-users. In this sense, the current paper proposes a novel generation of the UML’s behavior and interaction dia...

In this work, we study the structural, half-metallic behavior, exchange coupling interactions and the large Curie temperature of the equiatomic quaternary Heusler alloy CoRhMnSi, using the ab initio method. To predict the electronic properties of this alloy, we investigate the half-metallic behavior presented by the structure type II of the CoRhMnS...

In this work, we study the equiatomic quaternary Heusler Alloy CoFeCrP using two methods: DFT and Monte Carlo simulations. The DFT method allowed us to illustrate the structural, electronic and magnetic properties of this alloy. The ground state phase diagrams have been presented to show the stable configurations in different physical parameter pla...

In this paper, we study the critical magnetic properties of the Half Heusler alloy RhCrSi, using Monte Carlo simulations (MCS) under the Metropolis algorithm. In fact, to study this alloy, we apply an Ising model using the MCS simulations, we concentrate only on the magnetic atoms: Rh and Cr. For this purpose, these magnetic atoms are modeled by th...

In this paper, we use density functional theory (DFT) calculations under Quantum Espresso package to characterize the doping effect of sulfur substitution on Zirconium dioxide ZrO2. Through the density of states (DOS) and the band structure (BS) calculations, a direct band gap is found for the pure and doped studied ZrO2 system. The optoelectronic...

In this paper, we inspect the magnetic properties of a core/shell Kekulene-like structure consisting of mixed spins (σ = 2; S = 1), by means of Monte Carlo simulations. Firstly, we carry out an analysis of the ground state phase diagrams to determine all probable and stable configurations depending on the minimization of the energies of the system....

In this manuscript, we investigate the structural, electronic and magnetic properties of the quaternary Heusler alloys ZnCdXMn (X = Pd, Ni or Pt) by using the first-principle calculations. In fact, we explore the competing structure on the magnetic and electronic properties of the Zn-based equiatomic quaternary Heusler alloys ZnCdXMn (X = Pd, Ni or...

In this paper, we study and discuss the ab initio method and Monte Carlo simulations of the Fe2MnSn full Heusler alloy for the both structures: XA and L21. In fact, we have computed the structural, the electronic, the magnetic and the critical magnetic behavior of this alloy. Firstly, we have performed the ab initio calculations using the GGA appro...

In this work, we are studying structural and electronic properties of the solar perovskites photovoltaic CsXCl3 (X = Sn, Pb or Ge) using the ab-initio calculations under the Quantum Espresso package. The total and partial density of states (DOSs) have been elaborated and discussed for each material: CsSnCl3, CsPbCl3 and CsGeCl3. On the other hand,...

In this paper, we study the effect of different physical parameters on the critical magnetic behavior of the new full Heusler CoXO2 (X=Cu or Mn) alloys, using Monte Carlo simulations (MCS) under the Metropolis algorithm. To reach this goal, we have proposed a Hamiltonian describing and modeling these compounds. The CoCuO2 alloy is formed with the s...

One of the most crucial objectives of enterprises is bridging the gap between its businesses and information systems. In this vein, many approaches have emerged among them: the Model-Driven Architecture (MDA). This approach is an initiative of the Object Management Group (OMG) and considers the model as the central entity in the software systems de...

Purpose In this paper, using Monte Carlo simulations (MCSs) under the metropolis algorithm, the authors study the magnetic properties of the yttrium-based Heusler alloys: Y 2 CrGa and YFeCrGa. In the first step, the authors elaborate and discuss the ground-state phase diagrams of the more stable configurations. It is worth to note that the full-Heu...

In this paper, we have used the Monte Carlo simulations (MCSs) to investigate the magnetic properties of the brownmillerite KBiFe 2 O 5 (KBFO) compound. The different exchange coupling interactions [Formula: see text], [Formula: see text] and [Formula: see text] between different irons Fe atom have been outlined including the angles between Fe 1 -O...

In order to investigate the magnetic properties and the ground state phase diagrams of the transition metal oxide perovskite-type Pb(Fe1/2Nb1/2)O3, we use the Monte Carlo simulations under the Metropolis algorithm. For this purpose, we propose a Hamiltonian to model this compound when varying different exchange coupling interactions. In a first ste...

In this manuscript, we study the structural, electronic, and magnetic properties of the equiatomic quaternary Heusler alloy ZnCdRhMn in the framework of the first-principle calculations and Monte Carlo simulations. In fact, we have investigated the structural, the magnetic, and the electronic properties of the Zn-based equiatomic quaternary Heusler...

In this study, we use Monte Carlo simulations (MCS) and DFT method in order to deduce the critical magnetic behavior of the rare earth-based alloy GdN. The Monte Carlo method is based on the Metropolis algorithm, while the DFT method is applied under the generalized gradient approximation. In a first step, we discuss and study the density of states...

We present a theoretical study of the magnetic properties of the lanthanum copper manganate double perovskite La 2 CuMnO 6 ceramic, using Monte Carlo simulations. We analyze and discuss the ground state phase diagrams in different planes to show the effect of every physical parameter. Based on the Monte Carlo simulations, which combine Metropolis a...

Using Monte Carlo Simulations (MCS), based the Metropolis algorithm, we examine in this study, the magnetic properties of the rare earth based compound GdN. In a first step, we discuss and study the ground state phase diagrams explored in the different planes of physical parameter. The obtained stable configurations are illustrated by comparing the...

In this article, we study the exchange coupling interactions of the equiatomic quaternary Heusler alloy CoFeTiSn, using the two methods: Monte Carlo simulations and the ab-initio method. In a first step, we use the ab-initio calculations to investigate the structural, the electronic and the magnetic properties of this alloy under the GGA method. Th...

In this manuscript, we investigate the electronic and magnetic properties of the YFeCrZ (Z = Al, Sb and Sn) quaternary Heusler alloys were investigated by using first-principles calculations and Mont Carlo simulations. The results of the electronic structures show that the YFeCrZ (Z = Al, Sb and Sn) alloys exhibit a half-metallic character. This ha...

Nowadays, the software industry has known significant growth, while the end-users have become very demanding. In this sense, many approaches have appeared among them we have the Model Driven Architecture (MDA) approach, which is initiative of the Object Management Group (OMG), considering the model as the central entity in the software systems deve...

Currently, in the field of the software engineering industry, end-users have become extremely requiring; consequently, this industry knew a critical evolution. In this vein, the model generation becomes an awakening and an essential step for many approaches among them we cite the Model Driven Architecture (MDA) approach. The Object Management Group...

Nowadays, organizations are undergoing a permanent environmental change; they are required to follow the software industry growth, the volatile end-user demands, and fast information and communication technologies development. Simultaneously, software engineering benefits from large-scale transformations, which has undergone enormous changes. In th...