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Medical information is crucial in the healthcare system, and its manipulation can lead to misdiagnosis. Medical images also contain personal information for patients; hence, information security and privacy protection are paramount when transferring medical images over the Internet. Biometric approach and watermarking techniques are used to achieve...
Students in the colleges usually deploy the sites of social networking. The aims for which the sites of the social networking are used, in addition to their impacts on social interaction, learning, and relations with friends and family, were explored in this work. At Al Qasim Green University's Physical Development and Sport Science Collage, a cros...
Abstract:In the era of Internet and advancing in communication and computing technology, the social networks have caught wide applications in real life's. Influence Maximization (IM) in social networks is intended to find a small group (sub set) of specific users as seeds (influencers). These seeds have an ability to activate maximum possible neigh...
Coronavirus (COVID) is one of the world's most devastating diseases, affecting the lives of millions of people around the globe. . Accurate and timely detection of the COVID virus is critical for human survival. The standard medical history of diagnosing COVID disease
Teaching-learning-based optimization algorithm (TLBO) considers a newly advanced heuristic algorithm that depends on the physical appearance of the teaching-learning procedure. Its goal at the reduction of facilely come down into local optimum when working on complicated optimization difficulties that have high dimensional, in this paper, we will r...
One of the significant problems in Social Net-works (SN) analysis is how to find the best influential members. This problem was proved to be non-deterministic polynomial (NP-hard). The influence maximization (IM) problem in SNs aims to maximize the spread of influence in the network. It represents an optimization problem. IM is a fundamental resear...