Mobile banking (M-banking) of the most promising technologies to emerge in recent years and it can prove to be of great value to both banks and customers. Banks seem to be particularly interested in such systems that provide their customers with better services. Thus, knowing the factors that affect individuals’ intentions to use mobile banking services can be of great importance. This study aims to examine the main factors that can predict the use of mobile banking services and to understand the drivers behind the adoption of these services. Also, how to obtain customer satisfaction and loyalty under the two models Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT). For this purpose, a questionnaire was developed to collect information from Saudi Bank customers to find out the extent of their acceptance of mobile banking services.
14/11/2023
Pollution is one of the biggest problems facing countries and has an impact on the economy. Waste is one of the most dangerous types of pollution, although most countries have efforts to manage waste, I do not think that the matter will be done well unless the individual intervenes to manage or reduce their waste or is disposed of properly, whether it is for reuse or recycling and Delivery to the right and appropriate destination. (Recycling and reuse mobile application) It is a charitable application, which is to provide what you have to the person concerned to reduce waste. This project aims to increase the awareness of society in many ways, which is to research the problems of the state so that we can help reduce this problem and benefit from using our devices in an unusual way.
14/11/2023
The phenomenon of missing children in school buses is a major concern for parents, schools, and transportation authorities. This can happen if kids get off at the wrong stop, split out from their groups or missed inside buses. By enabling real-time recording of the bus and its occupants, RFID technology significantly contributes to improving the safety of children when they are boarding a school bus. Children missing from school buses can be prevented with the use of RFID technology in a children’s bus safety system. The belongings of each child is given an RFID tag, and the bus is fitted with RFID readers. As a result, the system is able to accurately record children information every time they ride the bus, and notify their school staff and their families if they were missed inside the bus. Consequently, this system could save children lives and their physical and psychological health. Creating such systems has been made possible by the development of Internet of Things (IoT) technologies in addition to RFID.
13/11/2023
The number of the cyber-attacks has increased recently especially in the last few years since the Covid-19 various struck the whole world and these attacks are usually for demanding a ransom. This project aims to contribute overcoming this dilemma by building a deep learning model for ransomware detection. This project uses the convolutional neural network (CNN) as well as static analysis based on the literature review. The built model is evaluated using accuracy criteria, it has achieved a good result with 91% accuracy in addition, the model gives a multi-class analysis for the ransomware families. For literature review, we recommend using different datasets, also compare a different architectures of CNN would help building more ac- curate model..
19/06/2023
A Closed-Loop CL system or Artificial Pancreas AP is a system developed to help those with Type 1 diabetes mellitus T1DM maintain their blood glucose level. In this research, we aimed to improve the effectiveness of the AP by predicting glucose using Deep Learning DL algorithms, specifically the Long Short-Term Memory LSTM algorithm. The trained LSTM model achieved between 60% - 90% accuracy on the training set and 80% on the test set. The model had good accuracy and recall for both groups, indicating its ability to quantify the adjustment dose of insulin and then pump it out through the AP. In the future, we hope to have a fully automated AP that can be implemented through an application allowing diabetic patients to take pictures of their meals within the app. The amount of carbohydrates in the meal will be automatically calculated through scanning, and this information will be communicated directly with the AP.
17/06/2023
Many students find it difficult to decide which internship will suit them better. There are numerous websites that are accessible and offer a wealth of information regarding internship op- portunities so, students must spend a lot of time in this process because they must sort through a lot of information to find the right internship. In this project, we will focus on building a website for an internship using a recommender system for students to reduce the process of finding the right internship based on the student’s interests and skills.
17/06/2023
العديد من النساء عرضة للا ٕ صابة بسرطان الثدي ، وبالتالي فاًن اكتشاف هذه الخلايا السرطانية يصبح مهما لاستئصالها من جسم المريض.لا يزال اكتشاف أمراض الثدي في المراحل المبكرة يمثل مشكلة في الرعاية الصحية. يمكن تشخيص واكتشاف الخلايا السرطانية إذا تم اكتشافها في مراحلها المبكرة. أظهر التطور السريع للتعلم العميق ، وهو مجموعة فرعية من تقنيات التعلم الآلي، اهتماما كبيرا بتطبيقه على مثل هذه المشكلات.يتم استكشافه بشكل متزايد في تحليل الصور الطبية لتدريب النموذج بمجموعة بيانات كبيرة. لمعالجة الصور الطبية، يعد استخراج الميزات أحد المهام الحاسمة. وبالتالي، فان تطوير نموذج جديد لا يزال بحاجة إلى التحقيق. الهدف الرئيسي من دراستنا البحثية هو بناء نموذج تنبؤي لسرطان الثدي باستخدام نهج قائم على التعلم العميق يساعد في . التدريب الفعال والتنبؤ الأفضل من حيث الدقة.أظهرت نتائج الدراسة أن النموذج المقترح حقق 94٪ من الدقة
17/06/2023
During the coronavirus pandemic (COVID-19), many Multiple Sclerosis (MS) patients faced many risks that could pose a risk to their health, leading them to a full and compulsory quar- antine and making it difficult for the patient to communicate with doctors. From this point of view, we aim at designing an application to provide psychological and physical care for Arabic patients with MS. For psychological care by communicating with specialized doctors or who have the same disease for the purpose of chatting and mitigating each other or supporting members of the community, providing videos and podcasts for entertainment purposes. Due to the difficulty of transportation for MS patients and visiting hospitals, through our application, we will provide a direct mechanism for the patient to communicate with their doctor to provide them with urgent medical advice. Also provide physical care by providing some exercises that may contribute to improving some muscle weakness.The patient can take a test to determine the level of the disease.They can save their appointments to remind them.
16/06/2023
The insurance claim is a basic problem in insurance companies. Insurance insurers always have a challenge to the growing of insurance claim loss. Because there is the occurrence of claim fraud and the volume of claim data increases in the insurance companies. Risks vary widely from one customer to another, and an accurate understanding of the different risk factors helps predict the probability of insurance claims based on historical data. In this study, is to build an accurate auto insurance claims prediction model through machine learning techniques. Focusing on advanced statistical methods and machine learning algorithms. The search was carried out using (Xgboost).Algorithm performance is evaluated using the mechanism, Precision, Recall, and F scale.
16/06/2023
The project involves the development of an application to support visitors, students, faculty members, and employees of the university, especially the new ones, to find places that are not frequently visited. The application will allow the user to reach the destination within the university building in a shortest way through an interactive map containing most of the locations. These locations include colleges, deanships, departments, libraries, classrooms, labs, stairs and lifts, etc. Beacons, which are small Bluetooth radio transmitters, will be installed in specific locations within the university buildings and used with the application via Wi Fi signals to locate the user and detect destinations.
16/06/2023
Cancer is one of the most common diseases that concern the medical community all over the world. One of the most common types of cancer is skin cancer. Because the skin is one of the largest parts of the body and is the most vulnerable to disease. Which is considered the most important step in its treatment is to detect it in the early stages. Traditional methods of cancer diagnosis are effective, but finding alternative methods that are less expensive and faster will be critical. Artificial intelligence has proven its effectiveness in many fields, including health care, and its use in this field is beneficial. Here comes the role of Machine learning reduces the time and cost of diagnosing the disease in the early stages. Many studies have proven the effectiveness of machine learning in the various fields. In this project we will an implement machine learning model that will be used for detecting skin cancer.
16/06/2023
There is a need for new approaches to effectively manage vehicle insurance claims due to the rising trend in claim severity and quantity. Machine learning (ML) is one approach that addresses this issue. Car insurance firms have started implementing ML to improve the inter- pretation and comprehension of their data for efficiency, hence enhancing their customer service through a better knowledge of their demands, This is done in an effort to better serve their. This study investigates how auto insurance providers incorporate machine learning into their companies. To forecast the occurrence of claims, we will employ ML techniques like support vector machines. In this paper, A car insurance claim dataset from Kaggle is used. The research was carried out using support vector machines (SVM) to develop the prediction model. The experimental results showed that the model obtained good results with an accuracy of 99.9% .
15/06/2023