Cervical cancer is the one of the most alarming disease among female in the low incoming country like Bangladesh. The societies of Bangladesh are conservative because of lacking education and consciousness. The information ...

In the low incoming country Bangladesh, breast cancer is second most common neoplasm and is increasing at an alarming rate among females. Lack of awareness and illiteracy are contributory factors for late presentation and ...

Cervical cancer is the second alarming cancer for women of low incoming countries like Bangladesh. In future it would be the main cause of death of Bangladeshi women by caner. To find the significant factors, association ...

With the proliferation of portable computing platforms and small wireless devices, the classical dilemma of leader election in mobile ad hoc networks has received attention from the research community in recent years. The ...

The Internet is a technological development that has the potential to change not only the way society retains and access knowledge; but also transform and restructure traditional models of higher education, particularly ...

The recent emergence of location-based social networking services is revolutionizing web-based social networking allowing users to share real-life experiences via geo-tagged user-generated multimedia content. One of the ...

This work examines the importance of inter organizational supply chain relationship from a network perspective. We have tried to find the answer of the following questions; how does knowledge sharing effect network value ...

This work deals with the recognition of handwritten Bengali digits using feed forward multi layered neural network approach. It proposes an overall guideline of how to construct and train a neural network in order to give ...

In this paper, we investigate the effects for rotating the triangular core air hole arrangements of a hybrid design porous core fiber. The triangular core has been rotated in anticlockwise direction to evaluate the impact ...

This paper presents an efficient content based image retrieval scheme for both the shaped and unshaped objects. The local regions of an unshaped image have been classified with respect to the frequency of occurrence. Then ...