Khaled Shaalan

British University in Dubai · Faculty of Engineering and IT

Studies on Chatbot adoption are gaining traction across different fields. Previous studies have outlined several drivers of Chatbot adoption through the lenses of various technology adoption theories. However, these studies have not been thoroughly reviewed and synthesized. Therefore, this article aims to analyze the technology adoption theories, a...

Relation extraction from unstructured Arabic text is especially challenging due to the Arabic language complex morphology and the variation in word semantics and lexical categories. The research documented in this paper presents a hybrid Semantic Knowledge base - Machine Learning (SKML) approach for extracting complex Arabic relations from unstruct...

Mobile payment contactless technologies involve the transfer of sensitive financial information, making them a potential target for cyberattacks. Understanding cybersecurity behavior in these technologies helps to identify and address vulnerabilities that cybercriminals could exploit. Therefore, this research develops a theoretical model by extendi...

The widespread use of social media has created a wealth of Arabic textual data, presenting challenges for NLP researchers due to the complexity and characteristics of the Arabic content. Despite the ambiguity of unstructured data and the peculiarity of the Arabic language and its writing style, there have been numerous studies in the field. These s...

In this article, the topic of Arabic automatic text summarization (AATS) techniques is discussed, which involves extracting significant information from lengthy texts. The vast amount of data available online and offline, as well as the large volume of information across different platforms, has made these techniques increasingly important. The art...

Phishing involves malicious activity whereby phishers, in the disguise of legitimate entities, obtain illegitimate access to the victims' personal and private information, usually through emails. Currently, phishing attacks and threats are being handled effectively through the use of the latest phishing email detection solutions. Most current phish...

A smart sustainable city is an innovative city that use a smart technology and smart education besides other ecosystem’s drivers in order to improve the quality of life. Several smart applications are developed by using different artificial intelligence models to enhance the education. A chatbot is considered as one of these advanced technologies t...

Chatbots (machine-based conversational systems) have grown in popularity in recent years. Chatbots powered by artificial intelligence (AI) are sophisticated technologies that replicate human communication in a range of natural languages. A chatbot's primary purpose is to interpret user inquiries and give relevant, contextual responses. Chatbot succ...

In the contemporary world, security and safety are significant concerns for any country that wants to succeed in tourism, attracting investors, and economics. Manually, guards monitoring 24/7 for robberies or crimes becomes an exhaustive task, and real-time response is essential and helpful for preventing armed robberies at banks, casinos, houses,...

Text classification pertains to the automated procedure of assigning predefined labels or categories to textual data. A comprehensive review of the existing literature on Arabic text classification (ATC) reveals that most research concentrates on methodologies and approaches, with no thorough evaluation of ATC. Consequently, this systematic review...

Cybersecurity procedures and policies are prevalent countermeasures for protecting organizations from cybercrimes and security incidents. Without considering human behaviors, implementing these countermeasures will remain useless. Cybersecurity behavior has gained much attention in recent years. However, a systematic review that provides extensive...

Artificial Intelligence (AI) enables machines to be intelligent, most importantly using Machine Learning (ML) in which machines are trained to be able to make better decisions and predictions. In particular, ML-based chatbot systems have been developed to simulate chats with people using Natural Language Processing (NLP) techniques. The adoption of...

The metaverse is an imaginary network of parallel universes. Using this technology might liven up dull lecture halls. By expanding synchronous communication into the "metaverse," many individuals may have meaningful conversations and exchange perspectives. This research focuses on finding out how medical students in the UAE feel about the metaverse...

Since the entry of so-called DeepFakes in the development of fake multimedia, this late has marked a turning point and emerged as a major issue, despite the fact that the existence of visual and aural media manipulations dates back to the beginning of media itself. The identification of modified and created material has recently gained attention th...

Anxiety and depression can have a significant impact on students’ academic performance, however, these mental health impacts were increased during the Covid-19 pandemic, and accordingly students and parents need some people to share their feelings together; however, there are different types of social media apps and platforms such as Facebook, T...

The various types of social media were increased rapidly, as people's need to share knowledge between others. In fact, there are various types of social media apps and platforms such as Facebook, Twitter, Reddit, Instagram, and others. Twitter remains one of the most popular social application that people use for sharing their emotional states. How...

The growing need to stay competitively ahead in this knowledge era has drastically changed the performance expectations of Higher Education Institutions (HEIs). Knowledge Management (KM) has become crucial for institutional effectiveness, performance, and innovation as it provides academic institutions with strategies for attaining a competitive ad...

Presents recent research on Emerging Technologies and Intelligent Systems Contains proceedings of the International Conference on Emerging Technologies and Intelligent Systems ICETIS2022

The purpose of this study is to review the research on the function and impact of project management offices (PMOs) in knowledge management (KM) and to establish the current body of knowledge by addressing the following questions: What function does the PMO play in the knowledge management process, and what types of knowledge does the PMO deal with...

It is widely acknowledged that knowledge management is critical to an organization's survival and growth. Every day, higher education institutions that are considered knowledge centers generate massive volumes of data. When this data is analyzed using appropriate computational methods and technology, it can provide knowledge to improve organization...

The neurodevelopmental Autism Spectrum Disorder (ASD) causes problems in social communication. Earlier diagnosis of ASD from brain image is necessary for reducing the effect of disorder. In this paper, deep Convolutional Neural Network (CNN) with Dwarf Mongoose optimized Residual Network (DM-ResNet) is proposed for the classification of autism diso...

The purpose of this study is to review the research on the function and impact of project management offices (PMOs) in knowledge management (KM) and to establish the current body of knowledge by addressing the following questions: What function does the PMO play in the knowledge management process, and what types of knowledge does the PMO deal with...

INTRODUCTION: An intent classification is a challenged task in Natural Language Processing (NLP) as we are asking the machine to understand our language by categorizing the users’ requests. As a result, the intent classification plays an essential role in having a chatbot conversation that understand students’ requests. OBJECTIVES: In this study, w...

This paper consolidates academic studies on knowledge sharing and acquisition. An effort is made to synthesize and establish the research perspectives and the link between knowledge sharing and knowledge acquisition in higher educational institutions based on a systematic review of literature retrieved from sources such as Google Scholar and the va...

This book sheds light on the recent research directions in intelligent systems and their applications. It involves four main themes: artificial intelligence and data science, recent trends in software engineering, emerging technologies in education, and intelligent health informatics. The discussion of the most recent designs, advancements, and mod...

Despite the previous article on technology adoption and the importance of users’ intention to use various technologies in healthcare, users’ acceptance of queue management solutions (QMS) has rarely been measured. The key driver for this article is to evaluate the constructs that have an influence on the acceptance of QMS in the healthcare domain....

The blockchain technology is rapidly growing allowing high potential use of technology to help educational organisations to reach to their goals while satisfying the learning process providing the student with a significant level of satisfaction inaccurate structure. This research will show six research papers discussed the Blockchain technology in...

A knowledge management process is a collection of practices that can work effectively to benefit academicians and foster innovation at Higher Education Institutions (HEI). With the advancement in Information, Communication, and Technology (ICT) capabilities, these institutions are presented with opportunities as well as challenges to keep up with k...

This book sheds light on the fundamental and innovative topics in information systems and their societal impact on individuals and organizations. It mainly focuses on the role of artificial intelligence in organizations, human-computer interaction, IS in education and industry, and IS security, privacy, and trust. The outcomes are expected to assis...

There is an increase in the number of people aged 60 and above worldwide [37]. On October 12, 1999, the world population peaked at 6 billion and was estimated to climb to 9 billion. By 2037, with a growth rate getting lower each year, we expect to have many older adults by then. With the increase in the price of caregivers and medication year by ye...

This paper is a systematic review of 19 resources showing the relationship between semantic web and ontology and answers several queries on the implications of this relationship on knowledge representation and real-life solutions in various industries. PRISMA guidelines were used to select the papers and the authors focused on the most important 10...

Audit plays an important customs role in which the past transactions of a company are investigated for non-conformance. Traditionally, audit is conducted based on a selection of a sample group of transactions for investigation which at times resulted on wrongful audit. Many resources were wasted in trying to prove the legitimacy of company activiti...

Knowledge management (KM) processes and artificial intelligence (AI) techniques, two sides of the same coin, define the ontologies and rules required for knowledge-based systems. However, a systematic review on the relationship between AI techniques and KM processes is neglected. Therefore, this systematic review aims to identify the common AI tech...

The customer relationship management (CRM) system has been adopted by many organizations to get better understanding of their customers’ needs and efficient utilization. The aim is to help organizations draw their strategies and enhance the quality of their products and services. Both public sector and government entities can use CRM systems to und...

Learning management systems (LMS) are widely used by academic institutions as the primary platform to host and disseminate information and learning content and enhance collaboration among the different stakeholders of the learning environment. It is characterized by being scalable, accessible, and interoperable. Blackboard is one of the leading LMS...

Conversational technologies are transforming the landscape of human-machine interaction. Chatbots are increasingly being used in several domains to substitute human agents in performing tasks, answering questions, giving advice, and providing social and emotional support. Therefore, improving user satisfaction with these technologies is imperative...

Energy is essential to practically all exercises and is imperative for the development of personal satisfaction. So, valuable energy has been in great demand for many years, especially for using smart homes and structures, as individuals quickly improve their way of life depending on current innovations. However, there is a shortage of energy, as t...

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...

Artificial intelligence (AI)-based voice assistants have become an essential part of our daily lives. Yet, little is known concerning what motivates students to use them in educational activities. Therefore, this research develops a theoretical model by extending the technology acceptance model (TAM) with subjective norm, enjoyment, facilitating co...

Every year, phishing results in losses of billions of dollars and is a major threat to the Internet economy. Phishing attacks are now most often carried out by email. To better comprehend the existing research trend of phishing email detection, several review studies have been performed. However, it is important to assess this issue from different...

Blockchain technologies have received considerable attention from academia and industry due to their distinctive characteristics, such as data integrity, security, decentralization, and reliability. However, their adoption rate is still scarce, which is one of the primary reasons behind conducting studies related to users’ satisfaction and adoption...

The rapid growth of artificial intelligence (AI) has reached unprecedented levels across different fields. In this bibliometric analysis, we reviewed 1999 studies published between 2011 and 2021 on the role of AI applications in facilitating healthcare services. This review aims to shed light on the scientific achievements of AI in healthcare throu...

In February 2021, the media around the world celebrated the success of three main space missions to Mars, Emirates hope mission from United Arab Emirates, followed by Tianwen-1, from China, and finally Mars 2020 mission from NASA. The aim of this research is to conduct a sentimental analysis of these tweets using a VADER-Multi, a method that is par...

The emergence of newer technology and rapid global changes has led to the development of technology-based education environments, wherein teachers and students interact via technological interfaces such as Google Glass. Very few educational institutions have, however, opted to use this interface. The reason for this tendency is not very well unders...

Customs duty obligations are primary revenue sources for nations. Any under or over value can result in economic instability. The role of customs is safeguarding society and local businesses from criminally guided value manipulations. In this paper, a cluster-based approach to detect the customs commodity value manipulation is proposed. This approa...

Text and content mining are the subcategory of data mining. This category of data mining is used to extract the information from web or web pages of a website. This mining identifies useful information from web content like web pages, search logs, and other website-related content. The extracted information can be used in many applications, for exa...

Sentiment analysis (SA) is one of the most emerging field of study in natural language processing (NLP) domain that primarily focuses on the opinion extortion of people’s lingual and penned articulation. Considerable number of studies about sentiment analysis over Arabic language are probed to label its polarity into positive or negative since this...

The Prevalence of information and its magnitude mandates a short description of the core of a document, an article, or legal documents. Abstractive summarization helps to concur with this problem utilizing the evolutions in machine learning and deep neural network. Attention-mechanism has extensively applied in the challenging issue of abstraction...

The objective of this paper is to propose the use of a multi agent approach as a knowledge management system in a technology service provider (TSP) environment. The TSP shall ensure that the services provided are reliable and trustworthy to sustain in a competitive technology market. This is achieved by possessing a fleet of expert intellectual pro...

Knowledge management is a fundamental process and an imperative framework on which organizations achieve competitive advantages. Companies realize that to benefit from the wide range of knowledge available, they must find ways of managing organizational knowledge. However, how companies manage their knowledge is dependent on the activities performe...

Knowledge management (KM) is one of the most important systems that need to be applied in an organization. It has benefits for improving efficiency and productivity in a company to achieve organizational goals. One of the tools that will make finding knowledge easier for employees is the knowledge map. It allows for visualizing the knowledge and li...

Knowledge management (KM) comprises of managing, planning, deploying, collecting, storing, reusing, and distributing the knowledge in organizations in an organized planned way. Applying KM in an organization aims to allow for ensuring overall success as it is a method that simplifies the entire process of dealing with knowledge. Some organizations...

With the COVID-19 outbreak in 2020, information about the pandemic has been exponentially increasing and spreading across various social media platforms. People across the globe have been affected in a way or another because of different aspects such as the increase in infected cases, death rate increase, financial difficulties, social distancing,...

This case study aims to examine the status quo of an information system in the context of talent management (TM), in a leading group of companies that is under the ports and industrial lands sector in the United Arab Emirates. This study identified the major issues encountered by the target organization from the perspective of the employee. It also...

Recently Natural Language Processing (NLP) has excessive attention due to increased data available online. Although there is huge development in Arabic NLP, but still it is behind English NLP. The aim of this study is to examine the most useful qualitative research design that can be used in the field of Arabic Natural Language Processing in genera...

The main aim of this paper is to identify the most important issues and problems that we faced in the UAE in the case of coronavirus pandemic and try to come up with solutions that will enhance the overall response of organizations and individuals to this crisis. Moreover, we want to investigate the importance of knowledge management in spreading i...

Queue Management is significant to improve the provided healthcare services. Despite previous studies on technology adoption and users’ intention to use various technologies in healthcare, users’ acceptance of queue management solutions (QMS) have rarely been measured. End users in healthcare domain and their acceptance for information technologies...

Social media platforms are massive sources of information and knowledge, considering their nature that heavily relies on the concept of media sharing in the form of visuals, written, or other multimedia formats. The ease of accessing these channels and contributing to them is what makes it a very unique yet challenging source to manage. The variety...

In this century, we have witnessed tremendous growth in the application of technology in our day-to-day life. One such life influencing factor is social media. In a manner or other, each individual’s life is influenced by social media. Individuals and organizations rely more on social media to interact with people, acquire knowledge, promote busine...

This paper aims to explore the relationship between knowledge management (KM) and organizational performance (OP). Systematic literature review was conducted to look at different practices for KM in different sectors and locations to build a good background about the relation between KM and OP. Many of researchers investigated the impacts and benef...

Safety on roads is one of the most pressing and challenging concerns in most countries since road accidents lead to a great number of causalities and disabilities as well as serious loss of wealth resources. Millions of people lose their lives and others suffer from severe injuries that result in destructive disabilities which prevent them from pra...

Conversational technologies are revolutionizing how organizations communicate with people, thereby raising quick responses and constant availability expectations. Students often have queries about the institutional and academic policies and procedures, academic progression, activities, and more in an academic environment. In reality, the student se...

Integration between information systems is critical, especially in the healthcare domain, since interoperability requirements are related to patients’ data confidentiality, safety, and satisfaction. The goal of this study is to propose a solution based on the integration between queue management solution (QMS) and the electronic medical records (EM...

This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on four different themes, including Artificial Intelligence and Soft Computing, Information Security and Networking, Medical Informatics, and Advances in Information Systems. Each chapter contributes to the aforementioned themes by...

Analytics in educational environments has received much attention during the last few years. Maintaining a high retention rate is still a major concern in higher educational institutions. Therefore, this research aims to early detect students at risk using three machine learning predictive models, namely support vector machine (SVM), neural network...

Understanding the factors affecting the use of healthcare technologies is a crucial topic that has been extensively studied, specifically during the last decade. These factors were studied using different technology acceptance models and theories. However, a systematic review that offers extensive understanding into what affects healthcare technolo...

Phishing is a serious form of online fraud made up of spoofed websites that attempt to gain users’ sensitive information by tricking them into believing that they are visiting a legitimate site. Phishing attacks can be detected many ways, including a user's awareness of fraud protection, blacklisting websites, analyzing the suspected characteristic...

Captioning of images has been a major concern for the last decade, with most of the efforts aimed at English captioning. Due to the lack of work done for Arabic, relying on translation as an alternative to creating Arabic captions will lead to accumulating errors during translation and caption prediction. When working with Arabic datasets, preproce...

Comparing two sets of documents to identify new topics is useful in many applications, like discovering trending topics from sets of scientific papers, emerging topic detection in microblogs, and interpreting sentiment variations in Twitter. In this paper, the main topic-modeling-based approaches to address this task are examined to identify limita...

In the case of compromised databases or interested database managers, CryptDB has been built for validated and realistic protection. CryptDB operates through encrypted data while executing SQL queries. The key concept of the SQL-aware encryption technique is to map SQL operations to encryption methods, adjustable query-driven encryption which facil...

Despite the growing need for IT graduates, the retention rate in software-related undergraduate programs is still a major concern. This stems from the difficulty and complexity of programming concepts for a large number of students. To handle this situation, this research introduces the "PROBSOL" application that is offered in three different platf...

The main objective of this systematic review is to analyse the up-to-date knowledge management in virtual learning environments studies. In that, 94 research articles ranged between 2005 and 2020 were critically analysed. Subsequently, the researchers integrated the findings to display the output with one result. Various countries hosted the studie...

This book sheds light on the emerging research trends in intelligent systems and their applications. It mainly focuses on three different themes, including software engineering, ICT in education, and management information systems. Each chapter contributes to the aforementioned themes by discussing the recent design, developments, and modifications...

We present our progress in developing a novel algorithm to extract synonyms from bilingual dictionaries. Identification and usage of synonyms play a significant role in improving the performance of information access applications. The idea is to construct a translation graph from translation pairs, then to extract and consolidate cyclic paths to fo...