Nour Eldeen Khalifa

Cairo University | CU · Department of Information Technology (IT)

Published by Springer Nature (www.springernature.com) "Next-Gen Healthcare: AI-Powered Medical Diagnostics" is a comprehensive investigation into the recent and developing world that artificial intelligence assumes in medical diagnosis. The goal here is to take the reader through an in-depth analysis of the use of AI in health-foundational concepts...

Sustainability has become a key factor on our planet. If this concept is applied correctly, our planet will be greener and more eco-friendly. Nowadays, waste classification and management practices have become more evident than ever. It plays a crucial role in the sustainability ecosystem. Computer algorithms and deep learning can help in this sust...

Artificial intelligence (AI) is the simulation of intelligent behavior in computers in a way that we, as humans, would consider this behavior is intelligent or humanlike. AI is considered one of the most breakthrough advances nowadays. The integration of AI with visual, audio, and haptic devices will lead to the rise of smart sustainable environmen...

Purpose As agricultural technology continues to develop, the scale of planting and production of date fruit is increasing, which brings higher yields. However, the increasing yields also put a lot of pressure on the classification step afterward. Image recognition based on deep learning algorithms can help to identify and classify the date fruit sp...

Coronavirus disease 2019 (COVID-19) has swiftly spread throughout the globe, causing widespread infection in various countries and regions, and was declared a pandemic by World Health Organization (WHO) in 2020. Computer algorithms and models can help in the identification and classification of the COVID-19 virus in the medical domain, especially i...

p>Nowadays, the internet has become a typical medium for sharing digital images through web applications or social media and there was a rise in concerns about digital image privacy. Image editing software’s have prepared it incredibly simple to make changes to an image's content without leaving any visible evidence for images in general and medica...

The rapidly spreading COVID-19 disease had already infected more than 190 countries. As a result of this scenario, nations everywhere monitored confirmed cases of infection, cures, and fatalities and made predictions about what the future would hold. In the event of a pandemic, governments had set limit rules for the spread of the virus and save li...

Cloud computing provides computer resources such as hardware and software as a service to consumers over a network. The primary idea of cloud computing is to distribute massive amounts of storage, processing, and information to scientific applications. In cloud computing, user tasks are organized and executed with appropriate resources to supply se...

The advances of Cyber-Physical Systems aim to enable capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. The term “Cyber-Physical Systems” (CPS) refers to a new generation of systems that combine computational and physical capabilities to interact with humans...

The COVID-19 coronavirus is one of the devastating viruses according to the world health organization. This novel virus leads to pneumonia, which is an infection that inflames the lungs’ air sacs of a human. One of the methods to detect those inflames is by using x-rays for the chest. In this paper, a pneumonia chest x-ray detection based on genera...

Visual question answering (VQA) is a challenging research area where model needs to understand image semantics along with the asked question in order to give a correct answer. Lately transformers showed improvement to the performance of deep learning models than using traditional sequence to sequence models like LSTMs, RNNs. Transformer models use...

Egypt has started constructing its New Administrative Capital since 2015. The new capital was designed to meet smart city standards, which presents a challenge for businesses to make the optimum business decisions given the set budget for such a project. As a result, reaching the optimum solution for allocating the needed materials to each building...

One of the most challenging issues that humans face in the last decade is in the health sector, and it is threatening his existence. The COVID-19 is one of those health threats as declared by the World Health Organization (WHO). This spread of COVID-19 forced WHO to declare this virus as a pandemic in 2019. In this paper, COVID-19 chest X-rays clas...

COVID-19's fast spread in 2020 compelled the World Health Organization (WHO) to declare COVID-19 a worldwide pandemic. According to the WHO, one of the preventative countermeasures against this type of virus is to use face masks in public places. This paper proposes a face mask detection model by extracting features based on the neutrosophic RGB wi...

Deep learning proved its efficiency in many fields of computer science such as computer vision, image classifications, object detection, image segmentation, and more. Deep learning models primarily depend on the availability of huge datasets. Without the existence of many images in datasets, different deep learning models will not be able to learn...

When the internet first came along, humans had no idea if it really will disrupt their life and the way they interact with almost everything from healthcare, education, financial services to their day-to-day lifestyle. They had no clue that it would ever have this impact. IoT and edge security is a serious challenge for all the current deployed imp...

The era of Blockchain Technology (BT) and Machine Learning (ML) is dramatically improved in general, and particularly in the sense of human vision in the field of artificial intelligence. BT's leadership has been extended to a variety of fields that contribute to major advances in the artificial smart and machine network. Today, Fake News (FN) has...

Abstract: Over the past several years, the traditional approaches of managing and utilizing hybrid Wide Area Network (WAN) connections, between sites across geographical regions, have posed many challenges to enterprises. Software-Defined Wide Area Network (SD-WAN) has emerged as a new paradigm that can overcome the traditional WAN challenges like...

Every major healthcare system is now under the throes of the Coronavirus disease outbreak as it is operating at its maximum capacity. There is an absolute need to establish an appropriate cure for this virus as quickly and efficiently as possible. Advances in deep learning models may play a critical role in SARS-2 discovery by locating a possible t...

The Editor-in-Chief and the Publisher have retracted this article. The article was accepted as part of a guest-edited special issue in Journal of Nanoparticle Research. Before the special issue was finalized, the Editor-in-Chief detected problems with editorial handling and peer review and decided not to proceed with the special issue and retracted...

One of the potential and necessary remote sensing topics is land cover classification. Using artificial intelligence algorithms in those type of applications decreases the required time of classification in a speedy and accurate manner. This paper assessing different deep convolutional neural network (CNN) to classify the land cover via a multispec...

During the epidemic of COVID-19, Computed Tomography (CT) is used to help in the diagnosis of patients. Most current studies on this subject appear to be focused on broad and private annotated data which are impractical to access from an organization, particularly while radiologists are fighting the coronavirus disease. It is challenging to equate...

The COVID-19 Pandemic has dramatically influenced the global market of energy production and consumption. This influence could be noticed obviously by the latest drop in crude oil prices. Furthermore, coronavirus has affected the supply chains and delayed the development of sustainable energy worldwide. Due to its relevance, academics have begun to...

The outbreak of the new coronavirus disease (COVID-19) in 2019 resulted in more than 100,000 infections and thousands of deaths. The number of deaths and infections continues to rise rapidly since the virus date of appearance. COVID-19 threatens not only human health but also many aspects of life such as manufacturing, social performance, and inter...

Coronavirus COVID-19 is a global pandemic stated by the World Health Organization (WHO) in 2020. The COVID-19 devastating impact was not only affect human life but also many aspects of it such as social interaction, transportation options, personal saving and expenses, and more. The power of social media data in such world pandemic outbreaks provid...

Coronavirus, also known as COVID-19, has spread to several countries around the world. It was announced as a pandemic disease by The World Health Organization (WHO) in 2020 for its devastating impact on humans. With the advancements in computer science algorithms, the detection of this type of virus in the early stages is urgently needed for the fa...

The coronavirus COVID-19 pandemic is causing a global health crisis. One of the effective protection methods is wearing a face mask in public areas according to the World Health Organization (WHO). In this paper, a hybrid model using deep and classical machine learning for face mask detection will be presented. The proposed model consists of two co...

Sustainable dietary plays an essential role in protecting the environment to be healthier. Moreover, it protects human life and health in its widest sense. Fruits and vegetables are basic components of sustainable dietary as it is considered one of the main sources of healthy food for humans. The classifications of fruits and vegetables are most he...

Due to the expansion of the Internet of Educational Things (IoET) systems, the importance of using security provisioning became a mandatory issue for supporting various software applications in connected heterogeneous devices. Traditional authentication methods are not efficient in dealing with the security risks in IoT because of their dependence...

Potato leaf blight is one of the most devastating global plant diseases because it affects the productivity and quality of potato crops and adversely affects both individual farmers and the agricultural industry. Advances in the early classification and detection of crop blight using artificial intelligence technologies have increased the opportuni...

This book provides a detailed overview of the latest developments and applications in the field of artificial intelligence and data science. AI applications have achieved great accuracy and performance with the help of developments in data processing and storage. It has also gained strength through the amount and quality of data which is the main n...

This paper focuses on a four-class classification problem to automatically detect Choroidal Neovascularization (CNV), Diabetic Macular Edema (DME), DRUSEN, and NORMAL class in Optical Coherence Tomography (OCT) images. The proposed deep learning classification model adopted two transfer-learning architecture and a categorical hinge loss as Support...

Can we really imagine seeing one of the well-known money services companies in 2020 forced to use pen and paper due to a cyber-attack???!!! Yes, we can…. This happened with Travelex at some banks and supermarkets. Travelex had said little publicly since hackers held its systems to ransom by encrypting its digital files, reportedly demanding $6m (£4...

Deep learning has shown tremendous potential in many real-life applications in different domains. One of these potentials is object detection. Recent object detection which is based on deep learning models has achieved promising results concerning the finding of an object in images. The objective of this paper is to annotate and localize the medica...

Coronavirus pandemic is burdening healthcare systems around the world to the full capacity they can accommodate. There is an overwhelming need to find a treatment for this virus as early as possible. Computer algorithms and deep learning can participate positively by finding a potential treatment for SARS-CoV-2. In this paper, a deep learning model...

The Coronavirus disease 2019 (COVID-19) is the fastest transmittable virus caused by severe acute respiratory syndrome Coronavirus 2 (SARS-CoV-2). The detection of COVID-19 using artificial intelligence techniques and especially deep learning will help to detect this virus in early stages which will reflect in increasing the opportunities of fast r...

The COVID-19 coronavirus is one of the latest viruses that hit the earth in the new century. It was declared as a pandemic by the World Health Organization in 2020. In this chapter, a model for the detection of COVID-19 virus from CT chest medical images will be presented. The proposed model is based on Generative Adversarial Networks (GAN), and a...

Adhoc wireless sensor network is an architecture of connected nodes, each node has its main elements such as sensors, computation and communications capabilities. Adhoc WSNs restrained energy sources result in a shorter lifetime of the sensor network and inefficient topology. In this paper, a new approach for saving and energy controlling is introd...

In this paper, a new quality of service (QoS) approach is proposed to control the consumed energy in ad-hoc wireless sensor network (WSN). The main reason is to reduce the node's energy through discovering the best optimum route that meets QoS requirements; QoS technique is used to find the optimum methodology for nodes packets transmission and ene...

Skin cancer is the most common type of cancer. One in every three cancers diagnosed is a skin cancer according to skin cancer foundation statistics globally. The early detection of this type of cancer would help in raising the opportunities of curing it. The advances in computer algorithms such as deep learning would help doctors to detect and diag...

The coronavirus (COVID-19) pandemic is putting healthcare systems across the world under unprecedented and increasing pressure according to the World Health Organization (WHO). With the advances in computer algorithms and especially Artificial Intelligence, the detection of this type of virus in the early stages will help in fast recovery and help...

Coronavirus, also known as COVID-19, has spread to several countries around the world. It was announced as a pandemic disease by The World Health Organization (WHO) in 2020 for its devastating impact on humans. With the advancements in computer science algorithms, the detection of this type of virus in the early stages is urgently needed for the fa...

The coronavirus disease 2019 (COVID-19) is the fastest transmittable virus caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The detection of COVID-19 using artificial intelligence techniques and especially deep learning will help to detect this virus in early stages which will reflect in increasing the opportunities of fast r...

The COVID-19 coronavirus is one of the devastating viruses according to the world health organization. This novel virus leads to pneumonia, which is an infection that inflames the lungs' air sacs of a human. One of the methods to detect those inflames is by using x-rays for the chest. In this paper, a pneumonia chest x-ray detection based on genera...

Early detection of cancer increases the probability of recovery. This paper presents an intelligent decision support system (IDSS) for the early diagnosis of cancer based on gene expression profiles collected using DNA microarrays. Such datasets pose a challenge because of the small number of samples (no more than a few hundred) relative to the lar...

Early detection of cancer increases the probability of recovery. This paper presents an intelligent decision support system (IDSS) for the early diagnosis of cancer based on gene expression profiles collected using DNA microarrays. Such datasets pose a challenge because of the small number of samples (no more than a few hundred) relative to the lar...

Cancer is one of the most feared and aggressive diseases in the world and is responsible for more than 9 million deaths universally. Staging cancer early increases the chances of recovery. One staging technique is RNA sequence analysis. Recent advances in the efficiency and accuracy of artificial intelligence techniques and optimization algorithms...

Agriculture is one of the most important sources for human food throughout the history of humankind. In many countries, agriculture is the foundation of its economy, and more than 90% of its population deriving their livelihoods from it. Insect pests are one of the main factors affecting agricultural crop production. With the advances of computer a...

Terrorist attacks are the most significant challenging issue for the humankind across the world, which need the whole attention of all nations. No doubt, that the terrorism attacks in Egypt negatively affect its economy and decreases its opportunities for foreign investments in the last decade. In this paper, statistical techniques will be applied...

Within the trials of the utilization of technology for the society, efforts have proven advantages of the new wave of rapid-growth change that began and is anticipating to proliferate with more potent connectivity and interoperability of diverse devices, named as the Social internet of things (SIoT). It is a rising paradigm of IoT wherein distincti...

Over the last few years, MENA region became an attractive target for cyber-attacks perpetrators. Hackers focus on governmental high valued sectors (i.e. oil and gas) alongside with other critical industries. MENA nations are increasingly investing in Information and Communication Technologies (ICTs) sector, social infrastructure, economic sector, s...

Introduction: Diabetic retinopathy (DR) is the most common diabetic eye disease worldwide and a leading cause of blindness. The number of diabetic patients will increase to 552 million by 2034, as per the International Diabetes Federation (IDF). Aim: With advances in computer science techniques, such as artificial intelligence (AI) and deep lear...

The essential challenge to apply agile modeling on health-care domain is the continuous increasing of system requirements of healthcare. This Challenge makes the analysis, execution , design, and implementation processes much more complicated. The cumulative requirements also lead to the increasing of the software complexity. However, in agile mode...

Introduction: One attractive research area in the computer science field is soft biometrics. Aim: To Identify a person's gender from an iris image when such identification is related to security surveillance systems and forensics applications. Methods: In this paper, a robust iris gender-identification method based on a deep convolutional neur...

In this paper, a proposed system for automatic counting and visual multi-tracking for human sperm in microscopic video frames is presented. It can be easily turned into a commercial computer-assisted sperm analysis (CASA) system. CASA systems help in detecting infertility in human sperm according to clinical parameters. The proposed system consists...

In this paper, a system for aquarium family fish species identification is proposed. It identifies eight family fish species along with 191 sub-species. The proposed system is built using deep convolutional neural networks (CNN). It consists of four layers, two convolutional and two fully connected layers. A comparative result is presented against...

This chapter represents a new object dependent for online review evaluation for improving performance by a proposed performance criterion. This criterion can introduce an alternative solution for measuring sentiment accuracy. The problem illustrates in the accuracy comparison measurement between different sentiment techniques and frameworks. Each t...

Within the developments progress in Egypt today, the Egyptian student in the university should question himself about his role is in the advances in scientific and industrial revolutions. The university education in Egypt is still adopting traditional teaching methods which are incompatible with modern life, the student's and the lecturer mentality...

A Blockchain is considered the main mechanism for Bitcoin currency. A Blockchain is known by a public ledger and public transactions stored in a chain. The properties of blockchain demonstrate in decentralization as distribution blocks, stability, anonymity, and auditing. Blockchain can enhance the results of network efficiency and improve the...

Abstract: This paper is an extended version of "Deep Galaxy: Classification of Galaxies based on Deep Convolutional Neural Networks". In this paper, a robust deep convolutional neural network architecture for galaxy morphology classification is presented. A galaxy can be classified based on its features into one of three categories (Elliptical, Spi...

In this paper, a deep convolutional neural network architecture for galaxies classification is presented. The galaxy can be classified based on its features into main three categories Elliptical, Spiral, and Irregular. The proposed deep galaxies architecture consists of 8 layers, one main convolutional layer for features extraction with 96 filters,...

Wireless sensor networks (WSNs) have become an important component of our daily life. In the near future, they will dominate the technology industry around the world. WSNs have gained importance due to the variety of vital applications they can participate in, such as applications for the military, health care, agriculture, surveillance, and monito...

Abstract Evidence-based medicine (EBM) is delivered through a didactic, blended learning, and mixed models. Students are supposed to construct an answerable question in PICO (patient, intervention, comparison, and outcome) framework, acquire evidence through search of literature, appraise evidence, apply it to the clinical case scenario, and assess...

A major advantage of wireless transmission is a significant reduction and simplification in wiring and harness. Wireless Sensor Networks (WSNs) is one of these wireless technologies which are used nowadays. They can operate in a wide range of environments and provide advantages in cost, size, power, flexibility and distributed intelligence, compared...

Wireless sensor networks (WSNs) have become an attracted research and industry interest. In WSN, each node is attached to a battery, which supply the node with energy required for data sensing, processing and transmission. Transmitted packets are queued at intermediate nodes. Each node schedules the queued packets by assigning priorities to each pa...

Wireless Wireless Sensor Networks (WSNs) have become an important component in our daily lives. In near future, it will dominate the technology industry around the world. WSNs gain its importance due to the variety of vital applications it can participate in such as military, health care, agriculture, surveillance and monitoring natural phenomena a...

Wireless sensor networks (WSNs) are usually deployed for gathering data from unattended or hostile environments. Therefore, securing data transmission across these environments is a must. Due to the fact that the sensors have a limited power, any security mechanism for sensor network must be energy efficient. In this paper, a secure energy efficien...

Wireless sensor networks (WSNs) have become an attracted research and industry interest. In WSN, each node is attached to a battery, which supply the node with energy required for data sensing, processing and transmission. Transmitted packets are queued at intermediate nodes. Each node schedules the queued packets by assigning priorities to each pa...

The nature of playing video streams over a network in a real time requires that the transmitted frames are sent in a bounded delay. Also, video frames need to be displayed at a certain rate; therefore, sending and receiving encrypted packets must be sent in a certain amount of time in order to utilize the admissible delay. There are two main compon...