Mohammad Wedyan

Verified

Mohammad verified their affiliation via an institutional email.

Learn more

Verified

Mohammad verified their affiliation via an institutional email.

Learn more

• Doctor of Philosophy
• Professor (Assistant) at Yarmouk University

Users of virtual reality (VR) systems assume that these systems are safe, which leads to significant risk. Despite this, there is little research examining the security of these VR systems. This study is distinguished by the fact that it expanded the scope of the impact of cyberspace vulnerabilities on VR systems and was not limited to one or two e...

Background/Objectives: One of the key challenges in autism is early diagnosis. Early diagnosis leads to early interventions that improve the condition and not worsen autism in the future. Currently, autism diagnoses are based on monitoring by a doctor or specialist after the child reaches a certain age exceeding three years after the parents observ...

Pest insects are a danger to both regional and global food security. In Jordan, the most productive crop is tomato. Jordan's agriculture output is threatened by insect infestations. The study intends to use a deep learning model called convolutional neural networks on a dataset that includes eight categories of insect pest images. A dataset was use...

At the present time, many virtual systems are being built and these systems need to be evaluated. The evaluation process is very important because it reveals the weaknesses and strengths of these systems and the possibility of developing them later. Evaluating VR systems is also crucial for ensuring their continued development, improving the user e...

The Internet of Things (IoT) is the underlying technology that has enabled connecting daily apparatus to the Internet and enjoying the facilities of smart services. IoT marketing is experiencing an impressive 16.7% growth rate and is a nearly USD 300.3 billion market. These eye-catching figures have made it an attractive playground for cybercrimina...

This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (Systematized Nomenclature of Medicine of Clinical Terms). Our approach, which is entitled improv...

Floods are natural phenomena that invade different parts of the globe annually, leaving severe adverse effects on the natural landscape, particularly in areas where humans practice large-scale urban development activities. Inadequate corporate strategic stormwater management or maintenance plans make the issue even worse. Therefore, efforts have be...

Social distancing is one of the most important ways to prevent many diseases, especially the respiratory system, where the latest internationally spread is coronavirus disease, and it will not be the last. The spreading of this pandemic has become a major threat to human life, especially to the elderly and people suffering from chronic diseases. Du...

Antimicrobial peptides (AMPs) are gaining a lot of attention as cutting-edge treatments for many infectious disorders. The effectiveness of AMPs against bacteria, fungi, and viruses has persisted for a long period, making them the greatest option for addressing the growing problem of antibiotic resistance. Due to their wide-ranging actions, AMPs ha...

Augmented reality is increasingly used in the educational domain. However, little is known concerning the actual importance of AR for learning English skills. The weakness of the English language among English as a foreign Language (EFL) students is widespread in different educational institutions. Accordingly, this paper aims at exploring the impo...

The COVID-19 pandemic has threatened the lives of many people, especially the elderly and those with chronic illnesses, as well as threatening the global economy. In response to the pandemic, many medical centers, including dental facilities, have significantly reduced the treatment of patients by limiting clinical practice to exclusively urgent, n...

In recent times, cybercrime has increased significantly and dramatically. This made the need for Digital Forensics (DF) urgent. The main objective of DF is to keep proof in its original state by identifying, collecting, analyzing, and evaluating digital data to rebuild past acts. The proof of cybercrime can be found inside a computer’s system files...

The circulation of fake news among people is not something new, as it has been present ages ago. In a connected world, due to the rapid development in the means of communication, fake news has become a very dangerous factor in daily life due to its massive impact. Furthermore, the size and speed of data shared through mediums makes it is difficult...

Arabic skills are the tools by which children are prepared for the educational procedures on which their life depends. Deaf and hard of hearing students (DHH), must be able to grasp the same Arabic terms as hearing students and their different meanings in a context of different sentences less than what they are supposed to be due to their inability...

This study investigated the effectiveness of applying augmented reality in enhancing children's awareness of the preventive measures of COVID-19 pandemic. To this end, (30) male and female children at Al-Hussein school in Ma'an city in Jordan participated in this study. Augmented reality application so-called protect children that employs sound, vi...

Big data is a term that refers to a set of data that, due to its largeness or complexity, cannot be stored or processed with one of the usual tools or applications for data management, and it has become a prominent word in recent years for the massive development of technology. Almost immediately thereafter, the term “big data mining” emerged, i.e....

Classification is based on machine learning, in which each element in a set of data is classified into one of a predetermined set of groups. In data mining, an artificial neural network (ANN) is the most significant methodology because of the exact results obtained through this algorithm and applied in solving many classification problems. ANN cons...

Citizens regularly face incidents or violations and even digital security incidents such as e-mail intrusion, system infiltration or damage caused by malicious software. These violations are usually left unreported because of the difficulties that the citizens face to get the incident reported. Another issue is that many complaints should be handle...

Spine and neck pain is the most common type of pain experienced by people whose work requires sitting for long hours during the day. Therefore, many of them resort to dealing with this matter in several ways, and these methods differ in their effectiveness and negative effects. In this paper, we designed a device to alert the user to the need to ad...

The ongoing growth in the vast amount of digital documents and other data in the Arabic language available online has increased the need for classification methods that can deal with the complex nature of such data. The classification of Arabic plays a large and important role in many modern applications and interferes with other sciences, which st...

Multidisciplinary topics in education pose a major challenge for traditional learning and teaching methods. Such topics can deter students from selecting particular courses or hinder their study progress. This study focused on the subject of medicinal chemistry, which is a discipline combining medicine and chemistry. This combination of applied and...

Difficulty in understanding the feelings and behavior of other people is considered one of the main symptoms of autism. Computer technology has increasingly been used in interventions with Autism Spectrum Disorder (ASD), especially augmented reality, to either treat or alleviate ASD symptomatology. Augmented reality is an engaging type of technolog...

Object detection is considered a hot research topic in applications of artificial intelligence and computer vision. Historically, object detection was widely used in various fields like surveillance, fine-grained activities and robotics. All studies focus on improving accuracy for object detection using images, whether indoor or outdoor scenes. The...

Arabic is one of the Semitic languages in antiquity and one of the six official languages of the UN. Also, Arabic classification plays a significant and essential role in modern applications. There is a big difference between handling English text and Arabic text classification; preprocessing is also challenging for Arabic text. This paper presents...

Internet of Medical Things (IoMT) is an application-specific extension of the generalized Internet of Things (IoT) to ensure reliable communication among devices Ci, designed for the medical industry. However, a challenging issue associated with these networks, i.e., IoMT and IoT, is to ensure the authenticity of both source and destination modules...

In healthcare applications, deep learning is a highly valuable tool. It extracts features from raw data to save time and effort for health practitioners. A deep learning model is capable of learning and extracting the features from raw data by itself without any external intervention. On the other hand, shallow learning feature extraction technique...

This paper consists of two parts. The first presents a review of the literature on the use of augmented reality (AR) in the diagnosis and treatment of autistic children with a particular focus on the efficacy of AR in assisting autistic children who have communicative, social, sentiment, and attention deficit disorders. The review also investigated...

It is highly desirable that web search engines know users well and provide just what the user needs. Although great effort has been devoted to achieve this dream, the commonly used web search engines still provide a “one-fit-all” results. One of the barriers is lack of an accurate representation of user search context that supports personalised web...

Data Classification is a managed learning process, which sort and organize the data into various categories to be used in more effective and efficient way. Feature selection (FS) is a noteworthy theme for the advancement of data classification process. It is regularly a basic information handling step preceding applying a learning algorithm, where...

The importance of early diagnosis of autism that leads to early intervention such thing shall increase the results of treating it. The Autism Spectrum Disorder (ASD) affects the children activities and caused difficulties in interaction, impairments in communication, delayed speech, and weak eye contact. These activities used as the base for ASD di...

Deep neural networks are successful learning tools for building nonlinear models. However, a robust deep learning-based classification model needs a large dataset. Indeed, these models are often unstable when they use small datasets. To solve this issue, which is particularly critical in light of the possible clinical applications of these predicti...

Autism like other diseases requires early cure in order to magnify the remedy’s results. The impact of Autism Spectrum Disorder (ASD) is embodied in the following things: the inability for kids to interact with other people, the difficulty in socialize with others, speaking after a long time comparing with other kids, lack of eye contact with other...

Stemming defines as transferring the modified words to their origin instead of their current status. In respect of languages that are extremely modified such as Arabic, stemming plays an important role in enhancing the restored performance through decreasing the words alternatives. The present paper aims at clarifying the efficiency of light stemme...

In this paper, we proposed method combines error detection and correction through the use of the genetic algorithm. Its processes that provided and supported by this algorithm so that the sender and receiver party generate a total of the population. Then using the crossover and mutation process, as we will be explained in detail later in which we w...

Stemming defines as transferring the modified words to their origin instead of their current status. In respect of languages that are extremely modified such as Arabic, stemming plays an important role in enhancing the restored performance through decreasing the words alternatives. The present paper aims at clarifying the efficiency of light stemme...

Students‟ clustering is considered to be a method of granting students many different ways of being able to learn by taking into account the student‟ s degree. The definition of clustering can be “a group of steps that divide a group of information or (things) in a group of valuable secondary classes, which are named clusters. This implies that a c...

Many physical rehabilitation treatments aim to improve the ability to use upper limbs for the stroke patients. The robots have the power to help in treatment or mitigation as noted by the outcomes of recent research studies. However, the availability of these devices in clinical and rehabilitation settings is still limited. The paper discusses the...

In these days the need of implementing integrated solution that supports major issues in business, economic, cultural, and basic infrastructure is increased; thus the enterprise resource planning (ERP) software is designed to meet these needs. ERP system provides distinct advantages in the new business, financial, academic and public sector/governm...

an efficient stop-word removal technique is needed in many natural languages processing application such as: spelling normalization, stemming and stem weighting, Question, Answering systems and an Information Retrieval system (IRS). Most of the existing stop-word removal techniques are based on a dictionary that contains a list of stop-word which i...

This paper presents an algorithm and then MATLAB program that can construct and process an image depending on a given database and face recognition technique, which helps in the operations of investigation issues for policemen and in any similar operations, the image gets constructed and implemented as the database is developed. It is found that su...

Automatic query expansion methods for English and other languages text retrieval have been studied for a long time. In this research we study the retrieval effectiveness, achieved when we apply a successful automatic query expansion method in Arabic text retrieval based on an automatic thesaurus. Our experiments show that the automatic query expans...

In this paper, we present how table memorized semiring structure contributes in the vector space model in information retrieval system. We implement this new structure by generating table for each document and the first row filled with key word and the second row filled with weight for each word. This new structure implements using 242 Arabic docum...

An efficient stop-word removal technique is needed in many natural languages processing application, such as: spelling normalization, stemming and stem weighting, and in Information Retrieval systems (IR). Most of the existing stop-word removal techniques bases on a dictionary that contains a list of stop-word, it is very expensive, and it takes to...