Browse Items (6 total)

Mobile Adhoc NETworks (MANETs) usually present challenges such as a highly dynamic topology due to node mobility, route rediscovery process, and packet loss. This leads to low throughput, a lot of energy consumption, delay and low packet delivery…

The paper presents feature extraction methods and classification algorithms used to classify maize leaf disease images. From maize disease images, features are extracted and passed to the machine learning classification algorithm to identify the…

We study the sorting of real numbers into a linked list on the PRAM (Parallel Random-Access Machine) model. We show that n real numbers can be sorted into a linked list in constant time using n2 processors. Previously n numbers can be sorted into a…

Abstract—this paper presents an empirical research that realizes a previous research of a conceptual breast-cancer e-portal model with Arabic content. The paper starts with briefing the previous research, after that, it highlights the gaps need to be…

Detecting brain tumors is an active area of research in brain image processing. This paper proposes a methodology to segment and classify brain tumors using magnetic resonance images (MRI). Convolutional Neural Networks (CNN) are one of the effective…

In all sectors of activity, knowledge is the most important strategic lever in the organizations’ management. The informational practices induced by Web technologies and data exploitation are accompanied by a paradigm that disrupts the process of…