Nahia Mourad

British University in Dubai · Faculty of Engineering

The evaluation of Industry 4.0 (I4.0) technology adoption strategies (I4.0AS) in Small and Medium Enterprises (SMEs) from I4.0 technologies and technology-organization-environment (TOE) ecosystem perspectives poses a significant challenge due to three primary concerns: the importance of criteria, data variability for each individual I4.0AS, and unc...

The Internet of Modular Robot Things (IoMRT) has emerged through the integration of robotic systems into the Internet of Things (IoT), offering a wide range of solutions to meet continuously growing demands. Six self-reconfiguration functionalities/criteria have been proposed for developing IoMRT. However, no study has fully developed an IoMRT that...

Ensemble multi-criteria decision-making (ensemble MCDM) aggregates results from various MCDM techniques into a cohesive ranking, aiming to mitigate individual technique weaknesses and provide a robust approach to MCDM challenges. However, literature lacks in-depth analysis and a comprehensive guide defining ensemble MCDM. Therefore, this study aims...

The use of blockchain technology in sixth-generation (6G) networks promises substantial improvements in security, privacy, efficiency, and cost-effectiveness. Extensive research has explored various 6G frameworks incorporating blockchain, revealing how different blockchain features impact technical requirements. Thus, selecting and modelling these...

Applied mathematics

The circular economy (CE) has been identified as a possible catalyst for sustainable development by business, academics, and policymakers. To aid company developers in creating and improving business models that incorporate circularity, a variety of tools for circular business model innovation (CBMI) have been proposed. Nevertheless, the existing t...

Stability analysis for nonlinear programming systems deals with the possible changes of the system parameters and/or equations that maintain the stability of the solutions. It is a crucial requirement to study the nonlinear system and its practical values, specifically the economic impact in most real-world applications. This paper presents some ou...

Purpose This study develops a robust model to measure intellectual capital efficiency (ICE). It also analyzes ICE across Gulf companies, sectors and countries. Design/methodology/approach This study uses data envelopment analysis (DEA), the Malmquist productivity index (MPI), difference tests and additional analyses on a dataset consisting of 276...

Sustainable smart living (SSL) is a crucial component in the emergence of smart cities. These cities offer potential solutions to address pressing urban challenges, including traffic congestion, energy consumption and environmental degradation. Recently, many SSL frameworks have been developed based on multiple factors. However, no framework can si...

Internet of Things (IoT) real-time monitoring devices, which compromise sustainable sensing parameter-based climate change, are developed to minimise food loss and waste to support supply chain systems during natural disasters. Numerous studies have shown that current IoT real time monitoring devices offer remarkable prospects for future developmen...

This study explores the influence of total and individual ESG practices and the coronavirus crisis on US firm performance (FP). A large and recent sample of 406 US firms that adopted ESG issues during 2016–2020 was used. This study uses the generalized least-squares (GLS) regression estimator, the dynamic analysis technique, and robustness tests. T...

Non-Fungible Tokens (NFTs) are one-of-a-kind digital items with static or continuous visual and audio content. NFTs digitally represent any assets that may hold photos, gifs, audio, videos, or any other data-based storable material. These assets may come under a variety of asset groups, including art, in-game goods, and entertainment collecting uni...

The optimisation of control engineering tools based on digital twin capabilities and other cyber-physical metaverse manufacturing system (CPMMS) components are crucial for the successful performance. This study proposes a model for optimising control engineering tools using digital twin capabilities and other CPMMS components to solve the open issu...

This paper evaluates the economic efficiency of European football teams and examines the impact of COVID-19 pandemic on their performance indicators. 48 teams from Bundesliga, La Liga, Premier League, Serie A, and Ligue 1 are selected for appraising their efficiencies using the Malmquist DEA approach. The Data Envelopment Analysis (DEA) using the M...

In this study, we analyze the efficiency of working capital management (WCME) for Gulf companies before and during the coronavirus crisis, then explore the influence of the coronavirus crisis on WCME. This study uses several techniques to achieve its goals, including the Malmquist index (MI), data envelopment analysis (DEA), and Tobit regression. T...

Network integration is common in cyber-physical systems (CPS) to allow for remote access, surveillance, and analysis. They have been exposed to cyberattacks because of their integration with an insecure network. In the event of a violation in internet security, an attacker was able to interfere with the system's functions, which might result in cat...

Data envelopment analysis (DEA) is a widely used benchmarking technique. Its strength stems from the fact that it can include several inputs and outputs of not necessarily the same type to evaluate efficiency scores. Indeed, the aforesaid method is based on mathematical optimization. This paper constructs a second-order conic optimization problem u...

Financial organizations can no longer ignore the problem of managing risk. As a component of the financial system, efficient Financial Risk Management (FRM) may significantly affect business results. These findings show that the triangular neutrosophic numbers simulate capital asset key metrics. Performance metrics for capital assets may be modeled...

Structural health monitoring (SHM) tries to determine the status of substances, elements, and the life expectancy of any aircraft building. It also serves as a vital tool for ensuring the structural integrity and safety of the aircraft. This research used a neutrosophic-Entropy model to assess the structural cracks in the reinforced concrete aircra...

The healthcare system is a vital element for any community, as it extremely affects the socioeconomic development of any country. The current study aims to assess the performance of the healthcare systems of the countries above fifty million citizens in facing the spread of the COVID-19 pandemic since late December 2019. For this purpose, seven sce...

Determining the efficiency of Higher-Educational Institutions via Data Envelopment Analysis (DEA) is being increasingly acknowledged since it is a very effective tool that handles multiple inputs and outputs with different natures. DEA is a technique that appraises the input-output performance of Decision-Making Units (DMUs) under consideration. Fo...

The current study, using data envelopment analysis (DEA), aims to assess the healthcare systems efficiency of 26 European countries with Covid-19. This study developed DEA models to assist decision-makers in European countries via seven different scenarios to address the inefficiency of health systems following Covid-19. The input variables of the...

Data envelopment analysis (DEA) is a mathematical tool used to evaluate relative efficiency of decision-making units (DMUs). It is a benchmarking method for these units. To measure this relative efficiency, data related to a set of inputs and outputs are provided from all the DMUs under analysis, and then implemented in a suitable DEA model. Stocha...

In this article, we consider the extended Kohn-Sham model for atoms subjected to cylindrically-symmetric external potentials. The variational approximation of the model and the construction of appropriate discretization spaces are detailed together with the algorithm to solve the discretized Kohn-Sham equations used in our code. Using this code, we...

In this article, we consider the extended Kohn-Sham model for atoms subjected to cylindrically-symmetric external potentials. The variational approximation of the model and the construction of appropriate discretization spaces are detailed together with the algorithm to solve the discretized Kohn-Sham equations used in our code. Using this code, we...

The contributions of this thesis consist of three main results.The first result is concerned with analytic perturbation theory for Kohn-Sham type models. We prove, under some technical conditions, the existence, uniqueness and analyticity of the perturbed reduced Hartree-Fock ground state density matrix for regular perturbations arising from an ext...

In this article, we clarify the mathematical framework underlying the construction of norm-conserving semilocal pseudopotentials for Kohn-Sham models, and prove the existence of optimal pseudopotentials for a family of optimality criteria. Most of our results are proved for the Hartree (also called reduced Hartree-Fock) model, obtained by setting t...

In this article, we provide a mathematical analysis of the perturbation method for extended Kohn-Sham models, in which fractional occupation numbers are allowed. All our results are established in the framework of the reduced Hartree-Fock (rHF) model, but our approach can be used to study other kinds of extended Kohn-Sham models, under some assumpt...