Mahmoud Al-Ayyoub

Ajman University

Machine reading comprehension is one of the most long-standing challenges in artificial intelligence. It is a subtask question-answering system that aims to find a text span in a reading context that answers a question. It is the core of several applications, such as customer service systems and chatbots. However, However, few studies have targeted...

In this paper, we build on our recent efforts to build a Neural Speech Recognizer (NSR) for Quranic recitations that can be utilized by individuals regardless of their gender, age, or experience. In our previous papers, we presented the Quran recitations by females and males (QRFAM) dataset, which is a large benchmark dataset of audio recordings ma...

Underwater Sensor Networks have been proposed to monitor underwater regions. One of the major problems with underwater communication is the limited power supply of the underwater nodes, leading to costly transmission collisions. In this work, we propose an any-cast transmission scheduling algorithm for Underwater networks. Moreover, we propose a lo...

The outbreak of coronavirus disease 2019 (COVID-19) drives most higher education systems in many countries to stop face-to-face learning. Accordingly, many universities, including Jordan University of Science and Technology (JUST), changed the teaching method from face-to-face education to electronic learning from a distance. This research paper in...

Electronic health records provide a vast amount of text health data written by physicians as patient clinical notes. The world health organization released the international classification of diseases version 10 (ICD-10) system to monitor and analyze clinical notes. ICD-10 is system physicians and other healthcare providers use to classify and code...

This paper is the first step in an effort toward building automatic speech recognition (ASR) system for Quranic recitations that caters specifically to female reciters. To function properly, ASR systems require a huge amount of data for training. Surprisingly, the data readily available for Quranic recitations suffer from major limitations. Specifi...

The ownership of user actions in computer and mobile applications is an important concern, especially when using shared devices. User identification using physical biometric authentication methods permits the actual user to access the device. However, in cases where different users may access a shared device during the same active session, the pers...

Collaborative filtering methods are often utilized in the industry of recommender systems. They work by identifying users with similar tastes and recommending items for each active user. Besides, clustering techniques are extensively utilized to create systems based on collaborative filtering recommendation in the context of big data. Nevertheless,...

The ability to automatically understand and analyze human language attracted researchers and practitioners in the Natural Language Processing (NLP) field. Detecting humor is an NLP task needed in many areas, including marketing, politics, and news. However, such a task is challenging due to the context, emotion, culture, and rhythm. To address this...

Having a system that can take an image of a natural scene and accurately classify the plants in it is of undeniable importance. However, the complexities of dealing with natural scene images and the vast diversity of plants in the wild make designing such a classifier a challenging task. Deep Learning (DL) lends itself as viable solution to tackle...

Satisfaction Detection is one of the most common issues that impact the business world. So, this study aims to suggest an application that detects the Satisfaction tone that leads to customer happiness for Big Data that came out from online businesses on social media, in particular, Facebook and Twitter, by using two famous methods, machine learnin...

This work is an effort towards building Neural Speech Recognizers system for Quranic recitations that can be effectively used by anyone regardless of their gender and age. Despite having a lot of recitations available online, most of them are recorded by professional male adult reciters, which means that an ASR system trained on such datasets would...

Satisfaction Detection is one of the most common issues that impact the business world. So, this study aims to suggest an application that detects the Satisfaction tone that leads to customer happiness for Big Data that came out from online businesses on social media, in particular, Facebook and Twitter, by using two famous methods, machine learnin...

Emotion analysis is divided into emotion detection, where the system detects if there is an emotional state, and emotion recognition where the system identifies the label of the emotion. In this paper, we provide a multimodal system for emotion detection and recognition using Arabic dataset. We evaluated the performance of both audio and visual dat...

Android applications have recently witnessed a pronounced progress, making them among the fastest growing technological fields to thrive and advance. However, such level of growth does not evolve without some cost. This particularly involves increased security threats that the underlying applications and their users usually fall prey to. As malware...

Software testing is the main step of detecting the faults in Software through executing it. Therefore, it is substantial to predict the faults that may happen while executing the software to maintain the existence of the software. There are different techniques of artificial intelligence that are utilized to predict future defects. The Machine lear...

This paper aims to use a new technique of computed tomography (CT) scan image processing to correlate the image analysis with sinonasal symptoms. A retrospective cross-sectional study is conducted by analyzing the digital records of 50 patients who attended the ear, nose and throat (ENT) clinics at King Abdullah University Hospital, Jordan. The cor...

Human activity recognition is a thriving field with many applications in several domains. It relies on well-trained artificial intelligence models to provide accurate real-time predictions of various human movements and activities. Human activity recognition utilizes various types of sensors such as video cameras, fixed motion sensors, and those fo...

In this work, we present several deep learning models for the automatic diacritization of Arabic text. Our models are built using two main approaches, viz. Feed-Forward Neural Network (FFNN) and Recurrent Neural Network (RNN), with several enhancements such as 100-hot encoding, embeddings, Conditional Random Field (CRF), and Block-Normalized Gradie...

Computer-aided diagnosis (CAD) systems have been the focus of many researchers in both computer and medical fields. In this paper, we build two convolutional neural network (CNN) based CAD systems for diagnosing lumbar disk herniation from Magnetic Resonance Imaging (MRI) axial scans. The first one is a disk herniation detection CAD system which is...

Human activity recognition is concerned with detecting different types of human movements and actions using data gathered from various types of sensors. Deep learning approaches, when applied on time series data, offer promising results over intensive handcrafted feature extraction techniques that are highly reliant on the quality of defined domain...

Recently, the COVID-19 pandemic has triggered different behaviors in education, especially during the lockdown, to contain the virus outbreak in the world. As a result, educational institutions worldwide are currently using online learning platforms to maintain their education presence. This research paper introduces and examines a dataset, E-Learn...

This article studies and analyzes the use of 3D models, built from magnetic resonance imaging (MRI) axial scans of the lumbar intervertebral disk, that are needed for the diagnosis of disk herniation. We study the possibility of assisting radiologists and orthopedists and increasing their quality of experience (QoE) during the diagnosis process. Th...

The role of predicting sarcasm in the text is known as automatic sarcasm detection. Given the prevalence and challenges of sarcasm in sentiment-bearing text, this is a critical phase in most sentiment analysis tasks. With the increasing popularity and usage of different social media platforms among users around the world, people are using sarcasm m...

Visual Question Answering (VQA) in the medical domain has attracted more attention from research communities in the last few years due to its various applications. This paper investigates several deep learning approaches in building a medical VQA system based on ImageCLEF’s VQA-Med dataset, which consists of about 4K images with about 15K question-...

Medical imaging refers to visualization techniques to provide valuable information about the internal structures of the human body for clinical applications, diagnosis, treatment, and scientific research. Segmentation is one of the primary methods for analyzing and processing medical images, which helps doctors diagnose accurately by providing deta...

The release of millions of financial documents, which has been known as the ‘WikiLeaks’ of the financial world (a.k.a. ‘Panama Papers’), has dragged global attention in how highly structured means applied by some of the elite to conceal their financial assets. Consequently, significant financial corruption allegations were raised. We concentrate on...

A non-standard romanization of Arabic script, known as Arbizi, is widely used in Arabic online and SMS/chat communities. However, since state-of-the-art tools and applications for Arabic NLP expects Arabic to be written in Arabic script, handling contents written in Arabizi requires a special attention either by building customized tools or by tran...

Sinuses disorders are among the most common disorders that affect people's lives worldwide. Diagnosing such disorders requires highly skilled specialists to carefully inspect Computed Tomographic (CT) scans of the patient. The diagnosis process is time-consuming and very costly. To build a machine learning based computer system for the diagnosis pr...

In this project, a sinonasal diseases dataset is created with the help of Ear, Nose, and Throat (ENT) specialists at King Abdullah University Hospital (KAUH), Jordan. This dataset is then used to experiment with different features extraction and selection methods and different machine learning classification methods. The work can be summarized as f...

Explainable recommendation systems have gained much attention in the last few years. Most of them use textual reviews to provide users with interpretability about why services or products are liked by users or recommended for them. Sentiment analysis has potential advantages to determine the attitudes of users in online communities using websites s...

The detection of text in an image and identification of its language are important tasks in optical character recognition. Such tasks are challenging, particularly in natural scene images. Previous studies have been conducted with a focus on convolutional neural networks for script identification. In other studies, fully convolutional networks (FCN...

Recent advances in information filtering have resulted in effective recommender systems that are able to provide online personalized recommendations to millions of users from all over the world. However, most of these systems ignore the explanation purpose while producing recommendations with high-quality results. Moreover, the classification of re...

Bioinformatics is an interdisciplinary field that applies trending techniques in information technology, mathematics, and statistics in studying large biological data. Bioinformatics involves several computational techniques such as sequence and structural alignment, data mining, macromolecular geometry, prediction of protein structure and gene fin...

Machine Translation (MT) is a sub-field of Artificial Intelligence and Natural Language Processing that investigates and studies the ways of automatically translating a text from one language to another. In this paper, we present the details of our submission to the WMT20 Chat Translation Task, which consists of two language directions, English –>...

Pneumothorax, also called a collapsed lung, is the presence of the air outside of the lung in the space between the lung and chest wall. It is generally diagnosed using a chest X-ray. However, for some cases, the diagnosis can be difficult as other medical conditions appear similarly. Machine Learning algorithms have been providing great assistance...

This paper describes the methodology of The Inception team participation at ImageCLEF Medical 2020 tasks: Visual Question Answering (VQA) and Visual Question Generation (VQG). Based on the data type and structure of the dataset, both tasks are treated as image classification tasks and are handled by using the VGG16 pre-trained model along with a da...

Deep Learning (DL) is one of the hottest fields. To foster the growth of DL, several open source frameworks appeared providing implementations of the most common DL algorithms. These frameworks vary in the algorithms they support and in the quality of their implementations. The purpose of this work is to provide a qualitative and quantitative compa...

With the countless advantages gained from the free, open, and ubiquitous nature of online social networks, they do come with their own set of problems and challenges. E.g., they represent a fertile ground for fake accounts and autonomous bots to spread fake news. Revealing whether some text content is written by a bot or a human would be of great v...

In this work, we provide a Genetic-based algorithm that is used to quickly find a placement for a set of objects within a given layout such that access to these objects is optimized. The given layout describes the free locations of the objects and the object handles and the access is done through a corpus of object requests. The proposed algorithm...

Pneumothorax, also called a collapsed lung, refers to the presence of the air in the pleural space between the lung and chest wall. It can be small (no need for treatment), or large and causes death if it is not identified and treated on time. It is easily seen and identified by experts using a chest X-ray. Although this method is mostly error-free...

E-commerce dominates a large part of the world's economy with many websites dedicated to online selling products. The vast majority of e-commerce websites provide their customers with the ability to express their opinions about the products/services they purchase. These feedback in the form of reviews represent a rich source of information about th...

Dataset of An extensive study of authorship authentication of Arabic articles".

Abstract— In this article, we discuss how we can advance our knowledge and estimation of the distribution of temperature across urban regions by going beyond the commonly known urban heat islands (UHI) phenomena, which identify the temperature difference between a city and its rural surrounding. Transit heat island (THI) focuses more on the transit...

In this paper, we present the first work on unsupervised dialectal Neural Machine Translation (NMT), where the source dialect is not represented in the parallel training corpus. Two systems are proposed for this problem. The first one is the Dialectal to Standard Language Translation (D2SLT) system, which is based on the standard attentional sequen...

E-commerce dominates a large part of the world’s economy with many websites dedicated to selling products online. The vast majority of e-commerce websites provide their customers with the ability to express their opinions about the products/services they purchase. These reviews represent a rich source of information about the users’ experiences, wh...

Requirement gathering is a vital step in software engineering. Even though many recent researches concentrated on the improvement of the requirement gathering process, many of their works lack completeness especially when the number of users is large. Data Mining techniques have been recently employed in various domains with promising results. In t...

Requirement gathering is a vital step in software engineering. Even though many recent researches concentrated on the improvement of the requirement gathering process, many of their works lack completeness especially when the number of users is large. Data Mining techniques have been recently employed in various domains with promising results. In t...

In this paper, we describe our team's effort on the semantic text question similarity task of NSURL 2019. Our top performing system utilizes several innovative data augmentation techniques to enlarge the training data. Then, it takes ELMo pre-trained contextual embeddings of the data and feeds them into an ON-LSTM network with self-attention. This...

Social networks (SN) consist of a set of actors and connections between them. A collaboration network (ColNet) is a special type of SN, in which the actors represent researchers and the link between them indicate that they have co-authored at least one paper. ColNet analysis reveals how researchers interact and behave. A wide range of applications...

In this work, we present several deep learning models for the automatic diacritization of Arabic text. Our models are built using two main approaches, viz. Feed-Forward Neural Network (FFNN) and Recurrent Neural Network (RNN), with several enhancements such as 100-hot encoding, embeddings, Conditional Random Field (CRF) and Block-Normalized Gradien...

Aspect-Based Sentiment Analysis (ABSA) is a very important problem with numerous applications. The three editions of SemEval's ABSA Shared Task have been instrumental in fostering the development in this field. One of its sub-tasks is the sentence-level ABSA. This sub-task has received a lot of attention and new techniques and better results are re...

Attributing a piece of text to its true author is called Authorship Authentication (AA). This work addresses the AA problem of Arabic tweets. Arabic language is both challenging and understudied. Existing approaches on authenticating Arabic tweets used bag of words features or Stylometric Features coupled with classifiers like SVM. However, the rep...

Shifting from traditional marketing into online marketing has allowed people to share their experiences about various aspects of those products using textual comments known as Product Reviews. As a result of this shifting, people are able to access various websites where they can find reviews for all kind of products, even the rare ones. Thus, thes...

16th ACS/IEEE International Conference on Computer Systems and Applications AICCSA 2019

Classification and clustering techniques are used in different applications. Large‐scale big data applications such as social networks analysis applications need to process large data chunks in a short time. Classification and clustering tasks in such applications consume a lot of processing time. Improving the performance of classification and clu...