A. A. Zaidan

• Phd
• Professor at S P Jain School of Global Management

Constructing sustainable transportation infrastructure to address climate change by reducing carbon dioxide and greenhouse gas emissions is unfeasible without the involvement of international oil companies (IOCs). Identifying the most sustainable IOC can significantly enhance legitimacy, corporate image, brand value, transparency, and reputation. T...

Ensuring supply chain resilience (SCRES) in the face of unforeseen disruptions, such as natural disasters, geopolitical conflicts, or economic downturns, is a critical goal for decision-makers. While numerous SCRES frameworks have been proposed in existing literature, there is a lack of studies ranking these frameworks. Moreover, none of these fram...

Ensuring the availability of robust fault tolerance mechanisms is crucial for providing reliable cloud computing services. The complexity of cloud system components, combined with the wide range of fault tolerance frameworks proposed in numerous studies, makes identifying the optimal cloud fault tolerance framework a significant challenge. These fr...

Large language models (LLMs) have made significant advancements in natural language processing (NLP), impacting both academia and industry. Evaluating LLMs is crucial, as these models are developed for multiple NLP tasks. However, no single LLM has successfully fulfilled all tasks simultaneously, creating a research gap. This, in turn, leads to the...

The security models of delegation methods in mobile cloud computing (MCC) play a crucial role in mitigating security threats when offloading device operations to the cloud while ensuring optimal performance. These threats include data breaches, unauthorized access, and loss of control over sensitive data. Although numerous security models have been...

Trauma patients often face complex health consequences and are at a risk of rapid deterioration. Prioritizing trauma patients in intensive care units (ICUs) is essential for timely intervention. Current prioritization approaches are challenging tasks that involve considering multiple evaluation criteria, trade-offs and criteria importance, thus req...

The English Translation of the Quran Tafsir (ETQT) is essential to understanding and interpreting Allah’s words. Clustering is a common text mining technique for eliciting meaningful knowledge from a text collection. It is commonly used when the selected datasets lack typical ground truths. To the best of our knowledge, no study has evaluated and b...

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...

The consequences for the ecosystem of polyethylene terephthalate (PET) waste are becoming increasingly significant and widespread. Companies managing PET waste strive to enhance sustainability in all areas. The development of systematic decisionmaking approaches and frameworks for PET waste management is strongly needed. This research aims to prese...

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...

One of the hurdles in the widespread commercial deployment of renewable energy is the lack of a mature market-oriented trading system. Beyond the intermittent nature of power generation and the mismatch between production and demand in renewable energy, the operational complexities include a multitude of trading entities, intricate trading mechanis...

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...

The increasing number of road accidents is a major issue in many countries. Studying drivers’ behaviour is essential to identify the key factors of these accidents. As improving sustainability can be reached by improving driving behaviour, this study aimed to review and thoroughly ana-lyse current driver behaviour literature that focuses on smartph...

Deep learning, a robust framework for complex learning, outperforms previous machine learning approaches and finds widespread use. However, security vulnerabilities, especially in fusion in multi-color channel skin detection applications using adversarial machine learning (AML) and generative adversarial networks (GANs), lead to misclassifications....

A R T I C L E I N F O Keywords: Biodiesel Biomass Multi-criteria decision making Multi criteria decision analysis A B S T R A C T Biodiesel has gained tremendous attention from researchers due to its environmentally friendly and renewable fuel manufactured domestically from vegetable oils or animal fats. Multiple factors, including emission and fue...

Thermal image processing Stress in cattle A B S T R A C T The healthcare supply chain is a network made up of various systems, processes, and elements that function and interact seamlessly to offer healthcare services and products. Food safety is an essential component of the healthcare supply chain. In the cattle industry, the healthcare supply ch...

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...

As the global production of medical waste continues to rise, effective management of medical waste has become essential. In the era of Industry 5.0, new intelligent technologies such as the Internet of Things (IoT) and blockchain have been applied in Medical waste management (MWM) systems. Despite their advantages, these technologies face challenge...

City governments prioritize mobility in urban planning and policy. Greater mobility in a city leads to happier citizens. Although enhanced urban mobility is helpful, it comes with costs, notably in terms of climate change. Transportation systems that enable urban mobility often emit greenhouse gases. Cities must prioritize digital carbon footprint...

The simulation tools geared towards promoting sustainability in Mobility as a Service (MaaS) evaluation is inherently a multi-criteria decision-making (MCDM) challenge due to three primary concerns: the criteria significance, data variability, and the expert opinions' uncertainty. Despite efforts in recent years, no current developed MaaS has fully...

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...

The metaverse is widely regarded as “the evolution of the Internet,” with the potential to provide opportunities for various stakeholders. In addition to enhancing productivity among employees and creating new business models and revenue streams, it can increase the competitiveness of organizations. However, like any disruptive technology, it poses...

This study presents a novel dynamic localisation-based decision (DLBD) with fuzzy weighting with zero inconsistency (FWZIC) under a probabilistic single-valued neutrosophic hesitant fuzzy set (PSVNHFS) environment to benchmark Hybrid Multi Deep Transfer and Machine Learning (HMDTML) models. The novel DLBD method is proposed to generate a dynamic lo...

Modelling of Internet of Healthcare Things (IoHT) smart systems-based blockchain in terms of security and privacy requirements is considered a multicriteria decision-making (MCDM) problem. Even though literature reviews have evaluated IoHT smart systems-based blockchain, informational ambiguity, vagueness and uncertainty remain open issues. In addi...

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...

Intrusion detection systems (IDSs) are commonly employed to mitigate network security threats in various fields, including federated learning applications within the Internet of Medical Things (IoMT). However, IDSs face challenges owing to the sheer volume of network traffic, high-dimensional datasets and the necessity for real-time detection. Alth...

Sustainable management of construction and demolition wastes (CDWs) has become a pressing global issue in social, environmental and economic contexts, and it involves complex technological, engineering, management and regulatory challenges. Recently, many CDW management strategies have been developed based on the barrier attributes of reuse distrib...

Metaverse is a new technology expected to generate economic growth in Industry 5.0. Numerous studies have shown that current bitcoin networks offer remarkable prospects for future developments involving metaverse with anonymity and privacy. Hence, modelling effective Industry 5.0 platforms for the bitcoin network is crucial for the future metaverse...

The uncertainty decision modeling of control engineering tools to support industrial cyber-physical metaverse smart manufacturing systems (ICPMSMSs) falls under the multicriteria decision-making problem for three reasons: the presence of multiple industry cyber-physical system (ICPS) components, the importance degree of these components, and the va...

This study focuses on implementing electric vehicles (EVs) in developing countries where energy production is mainly based on fossil fuels. Although for these countries the environmental short-run benefits of the EVs cannot offset the short-run costs, it may still be the best option to implement the EVs as soon as possible. Hence, it is necessary t...

Modeling data acquisition systems (DASs) can support the vehicle industry in the development and design of sophisticated driver assistance systems. Modeling DASs on the basis of multiple criteria is considered as a multicriteria decision-making (MCDM) problem. Although literature reviews have provided models for DASs, the issue of imprecise, unclea...

The modeling of smart training environments (STEs) for motor imagery-based brain–computer interface (MI-BCI) falls under the multi-attribute decision analysis (MADA) due to three main concerns, namely, multiple evaluation attributes, data variation, and attribute prioritization. Despite the tremendous efforts over the last years, none of the develo...

There is a critical need for research in proactive and predictive management of the resilience of transportation systems implementing new technologies. Cooperative Intelligent Transportation System (C-ITS) uses wireless technology to allow vehicles and infrastructure to talk to each other in real-time. This makes it easier for people to work togeth...

Recent research has focused on developing real-time sign language recognition systems (SLRSs) based on gesture recognition to classify hand motions into their equivalent meaning in spoken language, but no comprehensive system with all desirable features has been presented. The existence of different systems has hindered the process of selecting the...

This paper proposes a novel ship energy systems (SESs) benchmarking model for performance measurement of sustainable transportation based on the extension of q-rung orthopair fuzzy rough sets (q-ROFRS) and multicriteria decision-making (MCDM) methods. The underlying research methodology consists of two main stages: (i) Formulation of the SES decisi...

The benchmarking of agri-food 4.0 supply chain (Agri4SC) falls under the multiple criteria problem in supply chain visibility (SCV) and supply chain resource integration (SCRI) for improving data analytics capabilities and achieving sustainable performance (SP). It is considered a multiple criteria decision-making (MCDM) problem due to three main c...

https://www.sciencedirect.com/journal/applied-soft-computing/about/call-for-papers#metaverse-technologies-and-applications-from-soft-computing-perspective

An intelligent remote prioritization for patients with high-risk multiple chronic diseases is proposed in this research, based on emotion and sensory measurements and multi-criteria decision making. The methodology comprises two phases: (1) a case study is discussed through the adoption of a multi-criteria decision matrix for high-risk level patien...

When COVID-19 spread in China in December 2019, thousands of studies have focused on this pandemic. Each presents a unique perspective that reflects the pandemic’s main scientific disciplines. For example, social scientists are concerned with reducing the psychological impact on the human mental state especially during lockdown periods. Computer sc...

The palm oil industry is one of the most competitive industries and must comply with industry standards for flexible supply chain operations, productivity, and sustainability. Many researchers have demonstrated that Industry 4.0 technologies in a circular economy and sustainability practices (I4.0-in-a-CE-and-SPs) present promising future research...

Numerous nations have prioritised the inclusion of citizens with disabilities, such as hearing loss, in all aspects of social life. Sign language is used by this population, yet they still have trouble communicating with others. Many sign language apps are being created to help bridge the communication gap as a result of technology advances enabled...

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...

Various companies have developed electric vehicle (EV)-based multiple fuel supply system modeling approaches (FSSMAs). Nonetheless, no superior approach concurrently satisfies all essential criteria, including ‘sustainability’ and ‘fuel consideration’ criteria. Furthermore, benchmarking the FSSMA alternatives to determine the most sustainable ones...

Autism spectrum disorders (ASD) are a diverse group of conditions characterized by difficulty with social interaction and communication. ASD is expected to be a high‐risk disease. Recent studies have focused on the diagnosis based on sociodemographic and family characteristics factors. The development of a diagnosis model, which is primarily based...

This research proposes a novel mobile health-based hospital selection framework for remote patients with multi-chronic diseases based on wearable body medical sensors that use the Internet of Things. The proposed framework uses two powerful multi-criteria decision-making (MCDM) methods, namely fuzzy-weighted zero-inconsistency and fuzzy decision by...

Indoor air quality (IAQ) refers to the conditions found within buildings that can impact respiratory health. Good IAQ conditions for hospital facilities are essential, especially for patients and medical staff. Recently, several concerns have been outlined and require an urgent solution in identifying IAQ pollutants and related thresholds and ways...

Globally, governments are contributing to the four main concerns of this century, namely, boosting urban air quality, halting climate change, ensuring energy security and mitigating human health issues associated with air pollution. These concerns are primarily driven by the transportation industry 5.0. Sustainable transportation in the context of...

This paper has been contributed on the basis of three main goals, namely, to identify the research gaps, challenges and open issues in the academic literature related to the evaluation and benchmarking of healthcare industry 4.0 applications; to determine the theory gap and the recommended solution of healthcare industry 4.0 application evaluation...

Children with autism spectrum disorders (ASDs) tremendously impact people’s lives, and the incidence and prevalence of ASDs are increasing globally. Global health organisations and other autism-treatment centres specialising in autism diagnosis and detection are encountering challenges on how to provide an appropriate ASD diagnosis system that enab...

Hybridised classification and prioritisation of patients with chronic heart diseases (CHDs) can save lives by categorising them on the basis of disease severity and determining priority patients. Such hybridisation is challenging and thus has not been reported in the literature on telemedicine. This paper presents an intelligent classification and...

The evaluation, importance and variation nature of multiple security and privacy properties are the main issues that make the benchmarking of blockchain-based IoT healthcare Industry 4.0 systems fall under the multi-criteria decision-making (MCDM) problem. In this article, one of the recent MCDM weighting methods called fuzzy weighted with zero inc...

Context: When the epidemic first broke out, no specific treatment was available for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The urgent need to end this unusual situation has resulted in many attempts to deal with SARS-CoV-2. In addition to several types of vaccinations that have been created, anti-SARS-CoV-2 monoclonal antibod...

Mesenchymal stem cell (MSC) transfusion has shown promising results in treating COVID-19 cases despite the limited availability of these MSCs. The task of prioritizing COVID-19 patients for MSC transfusion based on multiple criteria is considered a multi-attribute decision-analysis (MADA) problem. Although literature reviews have assessed the prior...

The COVID-19 pandemic has affected many aspects of human life. The pandemic not only caused millions of fatalities and problems but also changed public sentiment and behavior. Owing to the magnitude of this pandemic, governments worldwide adopted full lockdown measures that attracted much discussion on social media platforms. To investigate the eff...

Intrusion detection systems (IDSs) employ sophisticated security techniques to detect malicious activities on hosts and/or networks. IDSs have been utilized to ensure the security of computer and network systems. However, numerous evaluation and selection issues related to several cybersecurity aspects of IDSs were solved using a decision support a...

This study proposed a novel methodology of data acquisition systems (DASs) benchmarking based on fuzzy-weighted zero-inconsistency (FWZIC II) and fuzzy decision by opinion score method (FDOSM II), which are applied in an intuitionistic fuzzy set (IFS) context and account for hesitation when benchmarking DASs, to support industrial community charact...

This study proposed novel authentication of blowing voiceless password for Android smartphones. Experiments were conducted in three stages. First, a microphone sensor was used to solve the problems of eavesdropping of voice passwords and decoding passwords through lip movement (even behind a wall). Second, a Huawei tablet T1-701u device was used to...

This study proposed novel authentication of blowing voiceless password for Android smartphones. Experiments were conducted in three stages. First, a microphone sensor was used to solve the problems of eavesdropping of voice passwords and decoding passwords through lip movement (even behind a wall). Second, a Huawei tablet T1-701u device was used to...

In the fuzzy multicriteria decision-making approach, a committee of decision-makers is usually involved in the assessment of the suitability of different alternatives based on the evaluation criteria by using linguistic terms and their equivalent fuzzy numbers. In this context, researchers have developed the Pythagorean fuzzy set (PFS) to overcome...

The aim of this article is to review and analyse previous academic articles associated with car behaviour analysis for the period of 2010 to June 10, 2021 and understand the benefits of using data collection devices. Articles related to car driver behaviour and sensor utilisation are systematically searched. Three major databases – ScienceDirect, I...

Efficient evaluation for machine learning (ML)-based intrusion detection systems (IDSs) for federated learning (FL) in the Internet of Medical Things (IoMTs) environment falls under the standardisation and multicriteria decision-making (MCDM) problems. Thus, this study is developing an MCDM framework for standardising and benchmarking the ML-based...

With the continuous emergence of new technologies and the adaptation of smart systems in transportation, motorcyclist driving behaviour plays an important role in the transition towards intelligent transportation systems (ITS). Studying motorcyclist driving behaviour requires accurate models with accurate and complete datasets for better road safet...

Many studies have recently developed real-time sign language recognition system (SLRS)-based DataGlove wearable electronic devices for deaf and dumb to assort hand gestures as having an identical meaning in spoken language. An evaluation and benchmarking of these systems are important towards understanding the most suitable for fulfilling all essen...

The task of benchmarking smart e-tourism applications based on multiple smart key concept attributes is considered a multi-attribute decision-making (MADM) problem. Although the literature review has evaluated and benchmarked these applications, data ambiguity and vagueness continue to be unresolved issues. The robustness of the fuzzy decision by o...

Many of the current fuzzy sets based on intuitionistic fuzzy concepts suffer from different limitations. Different approaches towards that end in the form of scientific works have been introduced, and many other fuzzy sets were extended to address such limitations. In this study, the Cubic Pythagorean fuzzy sets (CPFS) are introduced as one of the...

Recent studies have focused on how to develop air quality-monitoring systems through smart sensor networks and the Internet of Things (IoT) technology. These works span a wide range of health research advancements in hospitals to improve air quality architecture and technologies, such as IoT-enabled gas sensors, hardware components and cloud comput...

The infuence of the ongoing COVID-19 pandemic that is being felt in all spheres of our lives and has a remarkable efect on global health care delivery occurs amongst the ongoing global health crisis of patients and the required services. From the time of the frst detection of infection amongst the public, researchers investigated various applicatio...

Multimedia information availability has increased dramatically with the advent of mobile devices. but with this availability comes problems of maintaining the security of information that is displayed in public. Many approaches have been used or proposed for providing security for information dissemination over networks, protection system classifie...

Mesenchymal stem cells (MSCs) have shown promising ability to treat critical cases of coronavirus disease 2019 (COVID-19) by regenerating lung cells and reducing immune system overreaction. However, two main challenges need to be addressed first before MSCs can be efficiently transfused to the most critical cases of COVID-19. First is the selection...

Cardiovascular diseases (CVDs) are conditions involving the heart or blood vessels which need specialised and urgent care. Centralised telemedicine is a client–server architecture fit for cardiovascular care, especially for monitoring health conditions, delivering healthcare services and providing other remote services by using mHealth. However, se...

Pavement strategy is critical for achieving sustainable transportation. However, the presence of many evaluation criteria, criteria trade-offs, criteria conflict and criteria importance categorise the evaluation and selection of pavement strategies under complex multi-criteria decision-making (MCDM) problems. To date, no study has presented an eval...

Building a sustainable transportation system without involving international oil companies (IOCs) is an unrealistic feat. To date, no study has determined the best IOC and low-performing ones with respect to sustainable oil transportation, which is considered a benchmarking challenge requiring an urgent solution. Despite this limitation, the benchm...

The present invention relates to a method for distributing vaccine. The method comprises the steps of defining and identifying criteria of vaccine recipients and alternatives (110); performing data generation and augmentation of the identified criteria of vaccine recipients and alternatives to obtain new dataset of selected criteria and alternative...

Theoretical models have become increasingly complex, but the dual-phase structural equation modelling (SEM) and artificial neural network analysis can be used by scholars to unveil the causal interactions and nonlinear relationships between variables. However, not only a single open issue and challenge—but several of them—are encountered in the use...

Several DataGlove wearable electronic devices based on real-time Sign Language Recognition Systems (SLRSs) have been developed recently to assist the deaf and dumb community in translating hand gestures to their spoken language equivalents. Multidimensional evaluation and benchmarking of these systems are critical for determining the most desirable...

The present invention relates to a method for patient triage. The method includes the steps of evaluating and assessing condition of each patient and assigning a triage level to each patient according to a conditional decision tree with the patient’s condition being evaluation criteria. Thereon, a priority score for each patient in each triage leve...

Missing data is a common problem in real-world data sets and it is amongst the most complex topics in computer science and many other research domains. The common ways to cope with missing values are either by elimination or imputation depending of the volume of the missing data and its distribution nature. It becomes imperative to come up with new...

This work proposes a pattern recognition model for static gestures in Malaysian Sign Language (MSL) based on Machine Learning (ML) techniques. The proposed model is divided into two phases, namely, data acquisition and data processing. The first phase involves capturing the required sign data, such as the shape and orientation of the hand, to const...

Considering the coronavirus disease 2019 (COVID‐19) pandemic, the government and health sectors are incapable of making fast and reliable decisions, particularly given the various effects of decisions on different contexts or countries across multiple sectors. Therefore, leaders often seek decision support approaches to assist them in such scenario...

Despite the wide range of research on pedestrian safety, previous studies have failed to analyse the real-time data of pedestrian walking misbehaviour on the basis of either pedestrian behaviour distraction or movements during specific activities to realise pedestrian safety for positive (normal) or aggressive pedestrians. Practically, pedestrian w...

A substantial impediment to widespread Coronavirus disease (COVID-19) vaccination is vaccine hesitancy. Many researchers across scientific disciplines have presented countless studies in favor of COVID-19 vaccination, but misinformation on social media could hinder vaccination efforts and increase vaccine hesitancy. Nevertheless, studying people’s...

This study presents a novel benchmarking methodology for Data Acquisition System (DAS) types to support industrial community characteristics in designing and implementing the advanced driver assistance systems within vehicles, which is considered multicriteria decision-making (MCDM) problems. Four issues support this claim. Multiple criteria need t...

During the coronavirus disease (COVID-19) pandemic, different technologies, including telehealth, are maximised to mitigate the risks and consequences of the disease. Telehealth has been widely utilised because of its usability and safety in providing healthcare services during the COVID-19 pandemic. However, a systematic literature review which pr...