Abstract:- Our research paper has presented a new developed model for secured search into a big data of document collections. The developed model has investigated the importance of secured search and also the need for its practices in the real world. We have actually, studied both side of encryption in practical techniques issues and theoretical issues to improve the integration of information retrieval and cryptographic methods used for secured searching. We have chosen 3DES encryption technique to encrypt document data collections. Our new developed secured model has provided an efficient secured searching and/or security and authenticity over all. arabic 9 English 58
Mohamed Abdeldaiem Abdelhadi Mahboub, , (9-2019)

Abstract— in this research paper, Dynamic Source Routing were under certain studies from different aspects including a comparison between DSR performance according to different environments and with other protocols. DSR is a well-known ad hoc protocol, which is restricted to small networks. A new developed Agent used to enhance the performance of the DSR. A developed shadow Agent has made a new step forward to solve the problem of routing maintenance. This developed Agent has the ability to control the routing in the network which normally holding a routing table to increase the utilization of the routing protocol. The developed shadow Agent has played a major role to handle the expected dis-connectivity that may happen when the Agent changes its location, arabic 19 English 103
Mohamed Abdeldaiem Abdelhadi Mahboub(6-2014)

The manual detection and classification finding correct location and identifying type of tumor becomes a rigorous and hectic task for the radiologists. Medical diagnosis via image processing and machine learning is considered one of the most important issues of artificial intelligence systems. Deep learning has been used successfully in supervised classification tasks in order to learn complex patterns. The main contributions of this paper are as create a more generalized method for brain tumor classification using deep learning a variety of neural networks were constructed based on the preprocessing of image data., analyze the application of tumorless brain images on brain tumor classification and empirically evaluate neural networks on the given datasets with per image accuracy and per patient accuracy. And also presents an efficient image segmentation using machine learning algorithm with some optimization techniques to detect brain tumors. arabic 19 English 128
Mohamed Abdeldaiem Abdelhadi Mahboub(3-2019)