Hesham A. Hefny
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View article: A comprehensive survey on Arabic text augmentation: approaches, challenges, and applications
A comprehensive survey on Arabic text augmentation: approaches, challenges, and applications Open
Arabic is a linguistically complex language with a rich structure and valuable syntax that pose unique challenges for natural language processing (NLP), primarily due to the scarcity of large, reliable annotated datasets essential for trai…
View article: The Dialects Gap: A Multi-Task Learning Approach for Enhancing Hate Speech Detection in Arabic Dialects
The Dialects Gap: A Multi-Task Learning Approach for Enhancing Hate Speech Detection in Arabic Dialects Open
View article: Big data analytics in healthcare: data sources, tools, challenges, and opportunities
Big data analytics in healthcare: data sources, tools, challenges, and opportunities Open
The increasing number of patients with chronic diseases and the concentration of medical resources have a substantial economic impact, leading to hospital visits, hospital readmissions, and additional healthcare expenses. Healthcare provid…
View article: Enhancing Cybersecurity Defenses: A Multicriteria Decision-Making Approach to Mitre ATT&CK Mitigation Strategy
Enhancing Cybersecurity Defenses: A Multicriteria Decision-Making Approach to Mitre ATT&CK Mitigation Strategy Open
Cybersecurity is a big challenge as hackers are always trying to find new methods to attack and exploit system vulnerabilities. Cybersecurity threats and risks have increased in recent years, due to the increasing number of devices and net…
View article: Enhancing cybersecurity defenses: a multicriteria decision-making approach to MITRE ATT&CK mitigation strategy
Enhancing cybersecurity defenses: a multicriteria decision-making approach to MITRE ATT&CK mitigation strategy Open
Cybersecurity is a big challenge as hackers are always trying to find new methods to attack and exploit system vulnerabilities. Cybersecurity threats and risks have increased in recent years, due to the increasing number of devices and net…
View article: A Fuzzy-Based Approach for Flexible Modeling and Management of Freshwater Fish Farming
A Fuzzy-Based Approach for Flexible Modeling and Management of Freshwater Fish Farming Open
Most populated developing countries having water resources, like Egypt, are interested in aquaculture since it supplies around 30% of the cheap protein consumed by customers. Increasing the production of aquaculture, specifically fish farm…
View article: HMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic Diseases
HMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic Diseases Open
Respiratory genetic diseases are considered a major participant in the reasons of death worldwide nowadays and were one of the major participants in helping in increasing the numbers of COVID-19 patients. It is considered one of the most a…
View article: Interval Type-2 Mutual Subsethood Cauchy Fuzzy Neural Inference System (IT2MSCFuNIS)
Interval Type-2 Mutual Subsethood Cauchy Fuzzy Neural Inference System (IT2MSCFuNIS) Open
An interval type-2 (IT2) mutual subsethood Cauchy fuzzy neural inference system has been proposed in this paper. The network architecture consists of 3-layers with all connection weights being IT2 Cauchy fuzzy membership functions (CMFs). …
View article: Enhancing Cybersecurity Defenses: A Multicriteria Decision-Making Approach to Mitre Att&ck Mitigation Strategye
Enhancing Cybersecurity Defenses: A Multicriteria Decision-Making Approach to Mitre Att&ck Mitigation Strategye Open
View article: A novel intelligent approach for flight delay prediction
A novel intelligent approach for flight delay prediction Open
Flight delay prediction is one of the most significant components of intelligent aviation systems that may spread throughout the whole aviation network and cause multi-billion-dollar losses faced by airlines and airports, it is quickly bec…
View article: Evaluating Latency in Fifth-Generation Vehicle-To-Tverything Communications Using Adaptive Neuro-Fuzzy Inference System Model
Evaluating Latency in Fifth-Generation Vehicle-To-Tverything Communications Using Adaptive Neuro-Fuzzy Inference System Model Open
The fifth-generation new radio technology (5G NR) introduces improved functions to the air interface. In addition, the 5G NR non-standalone (NSA) will operate with long-term evolution, enabling vehicle-to-everything communications (V2X) fo…
View article: Healthcare predictive analytics using machine learning and deep learning techniques: a survey
Healthcare predictive analytics using machine learning and deep learning techniques: a survey Open
Healthcare prediction has been a significant factor in saving lives in recent years. In the domain of health care, there is a rapid development of intelligent systems for analyzing complicated data relationships and transforming them into …
View article: Traffic Flow Prediction Using Big Data and Geographic Information Systems: A Survey of Data Sources, Frameworks, Challenges, and Opportunities
Traffic Flow Prediction Using Big Data and Geographic Information Systems: A Survey of Data Sources, Frameworks, Challenges, and Opportunities Open
Big Data has been utilized extensively in numerous fields, including transportation.Using several sources of data, traffic conditions can be accurately anticipated and forecasted to enhance the overall operation's efficacy.This study intro…
View article: Evaluating Latency in Fifth-Generation Vehicle-to-Everything Communications using Adaptive Neuro-Fuzzy Inference System Model
Evaluating Latency in Fifth-Generation Vehicle-to-Everything Communications using Adaptive Neuro-Fuzzy Inference System Model Open
The fifth-generation new radio technology (5G NR) introduces improved functions to the air interface. In addition, the 5G NR non-standalone (NSA) will operate with long-term evolution, enabling vehicle-to-everything communications (V2X) fo…
View article: Deep learning for Arabic healthcare: MedicalBot
Deep learning for Arabic healthcare: MedicalBot Open
Since the COVID-19 pandemic, healthcare services, particularly remote and automated healthcare consultations, have gained increased attention. Medical bots, which provide medical advice and support, are becoming increasingly popular. They …
View article: Artificial intelligence-based traffic flow prediction: a comprehensive review
Artificial intelligence-based traffic flow prediction: a comprehensive review Open
The expansion of the Internet of Things has resulted in new creative solutions, such as smart cities, that have made our lives more productive, convenient, and intelligent. The core of smart cities is the Intelligent Transportation System …
View article: Parallel Implementation of Statistical DBSCAN Algorithm for Spark-based Clustering on Google Cloud Platform
Parallel Implementation of Statistical DBSCAN Algorithm for Spark-based Clustering on Google Cloud Platform Open
We present a new parallel density-based spatial clustering of applications with noise (DBSCAN) algorithm for spark on the google cloud platform (GCP).Statistical analysis is applied to determine DBSCAN's optimal parameters to enhance clust…
View article: Deep Learning approach for Arabic Healthcare: MedicalBot
Deep Learning approach for Arabic Healthcare: MedicalBot Open
Intelligent healthcare has made significant progress using artificial intelligence (AI) methods. Since the COVID-19 pandemic, healthcare service has gained more attention, particularly remote and automated healthcare consultation. Medical …
View article: Immunoglobulin G antibody immune response profile following infection with SARS-CoV-2 in COVID-19 Egyptian patients
Immunoglobulin G antibody immune response profile following infection with SARS-CoV-2 in COVID-19 Egyptian patients Open
This study aimed to report the dynamic profile of IgG-specific antibodies to SARS-CoV-2 infection for 6 months after infection. We conducted a prospective study, recruited 33 recently confirmed covid -19 patients and collected 6 samples fr…
View article: An Integrated Framework for Dynamic Risk Assessment and Decision Making for Reactor Safety,
An Integrated Framework for Dynamic Risk Assessment and Decision Making for Reactor Safety, Open
sites, and hazardous materials storage sites provide benefits to society, but are inherently risky.Failure of these systems has an increased criticality for its adverse effects on the ecological system and human health.Therefore, the nucle…
View article: Using Ensemble Method to Detect Attacks in the Recommender System
Using Ensemble Method to Detect Attacks in the Recommender System Open
Shill attacks are a serious threat to the stability of filtering and recommendation systems. These attacks involve the injection of fake profiles into the system, which can compromise the reliability of system output. Several shilling atta…
View article: Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System
Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System Open
The stability and reliability of filtration and recommender systems are crucial for continuous operation. The presence of fake profiles, known as “shilling attacks,” can undermine the reliability of these systems. Therefore, it is importan…
View article: An Efficient Intrusion Detection Approach Using Ensemble Deep Learning models for IoT
An Efficient Intrusion Detection Approach Using Ensemble Deep Learning models for IoT Open
The internet of things (IoT) has gained great importance due to its applicability in various daily life applications and its flexible and scalable framework.The wide and spreading use of IoT in the last few years has attracted intruders, w…
View article: Molecular Dynamic Simulation of Neurexin1α Mutations Associated with Mental Disorder
Molecular Dynamic Simulation of Neurexin1α Mutations Associated with Mental Disorder Open
View article: Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey
Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey Open
Aim This paper aims to present a comprehensive survey of existing machine learning and deep learning approaches utilized in healthcare prediction, as well as identify inherent obstacles to applying these approaches in the healthcare predic…
View article: A Deep Learning Approach for Gloss Sign Language Translation using Transformer
A Deep Learning Approach for Gloss Sign Language Translation using Transformer Open
One of the most recent applications of machine learning is to translate sign language into natural language. Many studies have attempted to classify sign language based on whether it is gesture or facial expression. These efforts, however,…
View article: F-802.11P: A Fuzzy Enhancement for IEEE 802.11P in Vehicle-to-Everything Communications
F-802.11P: A Fuzzy Enhancement for IEEE 802.11P in Vehicle-to-Everything Communications Open
Vehicle-to-Everything communications (V2X) are becoming increasingly popular as a solution for safer roads and better traffic management. One of the essential protocols in V2X is the Dedicated Short Range Communication (DSRC) protocol suit…
View article: Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey
Healthcare Predictive Analytics Using Machine Learning and Deep Learning Techniques: A Survey Open
Aim This paper aims to present a comprehensive survey of existing machine learning and deep learning approaches utilized in healthcare prediction, as well as identify inherent obstacles to applying these approaches in the healthcare predic…
View article: Artificial Intelligence-Based Traffic Flow Prediction: A Comprehensive Review
Artificial Intelligence-Based Traffic Flow Prediction: A Comprehensive Review Open
The expansion of the Internet of Things has resulted in new creative solutions, such as smart cities, that have made our lives more productive, convenient, and intelligent. The core of smart cities is the Intelligent Transportation System …
View article: Sentiment Analysis of Text Incorporating Emojis: A Machine Learning Approach
Sentiment Analysis of Text Incorporating Emojis: A Machine Learning Approach Open
Nowadays, people use emojis in their text to communicate their sentiments or summarize their words.Prior artificial intelligence (AI) strategies only included the order of text, emoticons, pictures, or emoticons with text have always been …