Advances in networking technologies enable interactions and communications at high speeds and large data volumes. But, securing data and the infrastructure has become a big issue. Intrusion Detection Systems such as Snort ...

In mobile communications there is a need to increase the channel capacity. The increasing demand for mobile communication services without a corresponding increase in RF spectrum allocation (channel capacity) motivates the ...

In this paper, Amharic Named Entity Recognition problem is addressed by employing a semi-supervised learning approach based on neural networks. The proposed approach aims at automating manual feature design and avoiding ...

Sign language is a natural language mostly used by hearing impaired persons to communicate with each other. At present day, sign language explainers are used to eliminate the language obstacles between people who are hearing ...

Ultra wide-band (UWB) systems have recently attracted much research interest owing to their appealing features in short-range wireless communications. These features include high data rates, low power consumption, multiple ...

Sensor technologies have become vital today in gathering information about close by environments and its use in wireless sensor networks is getting widespread popular every day. These networks are characterized by a number ...

The recognition of handwritten documents, which aims at transforming written text into machine encoded text, is considered as one of the most challenging problems in the area of pattern recognition and an open research ...

The existence of different kinds of wireless technologies enabled formation of two types of Mobile Ad hoc Networks (MANET). Homogeneous MANETwhere communication is entirely infrastructurless and Heterogeneous MANET where ...

Content-based video processing is one of the methods considered to meet the demands of newly emerging multimedia applications. For content-based processing, video has to be segmented into meaningful objects – semantic ...

In brain tumor diagnosis, clinicians integrate their medical knowledge and brain magnetic resonance imaging (MRI) scans to obtain the nature and pathological characteristics of brain tumors and to decide on treatment ...