Ahmed Ismail Ebada

Verified

Ahmed verified their affiliation via an institutional email.

Learn more

Verified

Ahmed verified their affiliation via an institutional email.

Learn more

• Prof. Dr.-Ing. of Inteligent Infomration Systems
• Professor at EU Business School

Nowadays, designing and developing wearable devices that could detect many types of diseases has become inevitable for E-health field. The decision-making of those wearable devices is done by various levels of analysis of enormous databases of human health records. Systems that demand a huge number of input data to decide to require real-time data...

Increasing demand and costs for healthcare is a challenge because of the high populations and the difficulty to cover all patients by the available doctors. The healthcare data processing and management became a challenge because the problems with the data itself like irregularity high-dimensionality, and sparsity. A number of researchers worked on...

Landmines are dangerous military equipment's that threat people’s lives and cause economic problems. They are harmful because of their unknown locations and difficulty to detect. Detecting and clearing mines demand special expertise. In this paper, we present a low-cost system for landmines detection. We describe the strategy that can help to detec...

Human nature is fundamentally driven by the need for interaction and attention, which are fulfilled through various sensory modalities, including hearing, sight, touch, taste, and smell. These senses enable us to perceive, understand, and engage with the world around us. The quality and depth of our interactions change considerably when we use mult...

Sentiment analysis plays a crucial role in understanding public opinions and attitudes. In this study, we address the sentiment analysis of ChatGPT tweets, leveraging a diverse set of machine learning models. The dataset comprises user-generated tweets directed at ChatGPT, reflecting a spectrum of sentiments ranging from positive endorsements to ne...

The trend of digital information transformation has become a topic of interest. Many data are threatening; thus, protecting such data from attackers is considered an essential process. Recently, a new methodology for data concealing has been suggested by researchers called coverless steganography. Coverless steganography can be accomplished either...

Deep learning (DL) plays a critical role in processing and converting data into knowledge and decisions. DL technologies have been applied in a variety of applications, including image, video, and genome sequence analysis. In deep learning the most widely utilized architecture is Convolutional Neural Networks (CNN) are taught discriminatory traits...

Arabic handwritten text recognition faces significant challenges despite the large number of Arabic speakers. A critical review paper has analyzed previous research in this field, identifying problem areas and challenges faced by researchers. The paper focuses on trends in offline handwriting recognition systems and the unique characteristics of th...

One of the major issues in computer system security is detecting malware threats before they spread. The continuous development of malware makes it challenging to detect malware with traditional anti-malware software, which relies on the signature database. As new malware samples increase daily, standard malware detection tools become less effectiv...

Brain tumor (BT) is a serious issue and potentially deadly disease that receives much attention. However, early detection and identification of tumor type and location are crucial for effective treatment and saving lives. Manual diagnoses are time-consuming and depend on radiologist experts; the increasing number of new cases of brain tumors makes...

The accuracy of fingerprint recognition model is extremely important due to its usage in forensic and security fields. Any fingerprint recognition system has particular network architecture whereas many other networks achieve higher accuracy. To solve this problem in a unified model, this paper proposes a model that can automatically specify itself...

The past decades witness a tremendous exchange in data and information in almost all domains. This leads to the need for applying data security to ensure information safety during communication. One of the main used technique is the steganography. Steganography is a technique that involves hiding information within objects, such as images, audio, v...

The ability of any steganography system to correctly retrieve the secret message is the primary criterion for measuring its efficiency. Recently, researchers have tried to generate a new natural image driven from only the secret message bits rather than using a cover to embed the secret message within it; this is called the stego image. This paper...

In computer security, the number of malware threats is increasing and causing damage to systems for individuals or organizations, necessitating a new detection technique capable of detecting a new variant of malware more efficiently than traditional anti-malware methods. Traditional anti-malware software cannot detect new malware variants, and conv...

Currently, relational database management systems (RDBMSs) face different challenges in application development due to the massive growth of unstructured and semi-structured data. This introduced new DBMS categories, known as not only structured query language (NoSQL) DBMSs, which do not adhere to the relational model. The migration from relational...

Big data applications in healthcare have provided a variety of solutions to reduce costs, errors, and waste. This work aims to develop a real-time system based on big medical data processing in the cloud for the prediction of health issues. In the proposed scalable system, medical parameters are sent to Apache Spark to extract attributes from data...

Internet of Things (IoT) provided many solutions in the healthcare area. IoT opened many new fields to use tools and technologies that can help users remotely. Many researchers used machine learning algorithms, artificial intelligence, and data science to get the power of the streaming healthcare data. Nowadays, using 5G network applications may he...

This paper presents a solution for the Visually Impaired (VI) based on wearable devices. VI people need support or a guide to support them to locomote from one place to another. Using Wearables help users to achieve a great understanding of the surrounding environment. The proposed system is based on wearable smart glasses to support VI to locomote...

This research paper presents an advanced solution for interactive education systems based on new technologies for smart cities. Background/Objectives: The new coronavirus COVID 19 made an impact on most of the daily activities in the whole world. Normal daily activities such as going to school or university became a challenge for many pupils and st...

The healthcare big data including medical history, Physician reports, prescription, parents and family historical diseases, laboratories, and scan reports can help in disease detection and prediction process. The article presents an overview of the recent technologies and methods in the medical area to get the benefits of cloud systems, data scienc...

There is a big demand for healthcare services to monitor health issues and help people to detect diseases without a need for visiting a doctor every single day. A pandemic issue such as Corona Co-vid 19 pushed millions of people to visit healthcare providers to check up if they are infected or not. So a wearable device with multi health sensors wit...

The healthcare data can be employed to develop a health prediction system that can improve in heart disease prevention. Big data on health care, including patient records, clinical notes, diagnosis, parents and family past ailments, hospitals, and scan results can aid in the phase of disease identification and prediction. The emerging machine learn...

This paper presents an effective solution based on speech recognition to provide elderly people, patients and disabled people with an easy control system. The goal is to build a low-cost system based on speech recognition to easily access Internet of Things (IoT) devices installed in smart homes and hospitals without relying on a centralized superv...

There are many diseases that affect millions of people that can be treated only at the beginning of the disease. There are many types of research using wearables sensor devices to detect the impact of the diseases on the patient's muscles to give alarms to the patients to take care of. Nowadays, Designing and developing wearable devices that could...

Designing a low-cost mobile robot. Proposing a method to detect landmines by integrating more than one technique. Using an effective motion planning algorithm. Ensuring the demining operator's safety.

Landmines are a dangerous problem that threats people lives and causes economic problems. Landmines are harmful because of their unknown locations and difficult to detect them. There are more than active 100 million landmines in the world. Detecting and clearing mines demand specific expertise. There are many techniques were used to detect landmine...

Provide to user: 1-The closest place for donators where they can be able to donate and Find donator. 2- send for our donators in near places notifications across mail or mobile number 3-Category in which, you can enter the medicine name and know its alternative and the effective chemical material in it and Herbs that can help in helping to treat th...

There are many countries affected by landmines which present a major threat to lives and cause economic problems. Landmines are harmful because of their unknown positions and often difficult to detect. The development of new demining technologies is difficult because of the tremendous diversity of terrains and environmental conditions in which min...

There are many countries affected by landmines which present a major threat to lives and cause economic problems. Landmines are harmful because of their unknown positions and often difficult to detect. The development of new demining technologies is difficult because of the tremendous diversity of terrains and environmental conditions in which mine...