Khaled Fouad

Benha University · Department of Information System

In recent years, credit card transaction fraud has resulted in massive losses for both consumers and banks. Subsequently, both cardholders and banks need a strong fraud detection system to reduce cardholder losses. Credit card fraud detection (CCFD) is an important method of fraud prevention. However, there are many challenges in developing an idea...

This paper proposes Parallelized Linear Time-Variant Acceleration Coefficients and Inertial Weight of Particle Swarm Optimization algorithm (PLTVACIW-PSO). Its designed has introduced the benefits of Parallel computing into the combined power of TVAC (Time-Variant Acceleration Coefficients) and IW (Inertial Weight). Proposed algorithm has been test...

Big data is a vast amount of structured and unstructured data that must be dealt with on a regular basis. Dimensionality reduction is the process of converting a huge set of data into data with tiny dimensions so that equal information may be expressed easily. These tactics are frequently utilized to improve classification or regression challenges...

Big data analysis applications in the field of medical image processing have recently increased rapidly. Feature reduction plays a significant role in eliminating irrelevant features and creating a successful research model for Big Data applications. Fuzzy clustering is used for the segment of the nucleus. Various features, including shape, texture...

Wireless sensor networks (WSNs) have garnered much attention in the last decades. Nowadays, the network contains sensors that have been expanded into a more extensive network than the internet. Cost is one of the issues of WSNs, and this cost may be in the form of bandwidth, computational cost, deployment cost, or sensors' battery (sensor life). Th...

Nowadays, an unprecedented number of users interact through social media platforms and generate a massive amount of content due to the explosion of online communication. However, because user-generated content is unregulated, it may contain offensive content such as fake news, insults, and harassment phrases. The identification of fake news and rum...

The efficient and effective process of extracting the useful information from high-dimensional data is a worth studying problem. The high-dimensional data is a big and complex that it becomes difficult to be processed and classified. Dimensionality reduction (DR) is an important and a key method to address these problems.rnThis paper presents a hyb...

In the traditional Web, users are considered as information consumers. In social Web, users play a much more active role since they are now not only information consumers but also data providers. Users like online posting reviews which has become an increasingly popular way to express opinions and sentiments toward the products bought or services r...

Search engines are dealing with huge amount of diverse information in many different disciplines. Many retrieval systems attempt to maintain the personalization of the information retrieved through the used search engines. Unfortunately, there are still many problems such as weak concepts representation, inaccurate of retrieved information, and vag...

Keyphrases are the keywords that provide the semantic metadata about document that represents the top concepts inside an article. Number of natural language processing (NLP) methodologies; such as text summarization, text mining and information retrieval applications, consider Keyphrase Extraction as a critical step to accomplish its tasks. This pa...

Effective retrieval of the most relevant documents on the topic of interest from the Web is difficult due to the large amount of information in all types of formats. Studies have been conducted on ways to improve the efficiency of information retrieval (IR) systems. To arrive to suitable solutions in IR systems, machines need additional semantic in...

The success of any e-learning system depends on the retrieval of relevant learning contents according to the requirement of the learner (user). This leads to the development of the adaptive e-learning system to provide learning materials considering the requirements and understanding capability of the learner. This chapter aims to propose the syste...

In the learning environments, users would be helpless without the assistance of powerful searching and browsing tools to find their way. Web-based e-learning systems are normally used by a wide variety of learners with different skills, background, preferences, and learning styles. In this paper, we perform the personalized semantic search and reco...

A major shortcoming of content-based approaches exists in the representation of the user model. Content-based approaches often employ term vectors to represent each user's interest. In doing so, they ignore the semantic relations between terms of the vector space model in which indexed terms are not orthogonal and often have semantic relatedness be...

Because of explosive growth of resources in the internet, the information retrieval technology has become particularly important. However the current retrieval methods are essentially based on the full text matching of keywords approach lacking of semantic information and can't understand the user's query intent very well. These methods return a la...

This work aims at developing an adaptive e-learning system with high performance to reduce the challenges faces elearners, the instructors and provides a good monitoring system for the complete e-learning systems as well as the system structure. The work presents the different phases for the system development of the adaptive system as: the first s...

Internet and expert systems have offered new ways of sharing and distributing knowledge, but there is a lack of researches in the area of web based expert systems. This paper introduces a development of a web-based expert system for the regulations of civil service in the Kingdom of Saudi Arabia named as RCSES. It is the first time to develop such...

Internet and expert systems have offered new ways of sharing and distributing knowledge, but there is a lack of researches in the area of web-based expert systems. This paper introduces a development of a web-based expert system for the regulations of civil service in the Kingdom of Saudi Arabia named as RCSES. It is the first time to develop such...