Active-Threaded Algorithms for Provenance Cognition in the Cloud preserving Low Overhead and Fault Tolerance

Autor: Imran, Asif, Dey, Emon Kumar, Sakib, Kazi

Provenance is the derivation history of information about the origin of data and processes. For a highly dynamic system such as the cloud, provenance must be effectively detected to be used as proves to ensure accountability during digital forensic i

Externí odkaz: http://arxiv.org/abs/1409.5552

Effective 3D Building Extraction from Aerial Point Cloud Data

Autor: Dey, Emon Kumar

Building extraction is important for a wider range of applications including smart city planning, disaster management, security, and cadastral mapping. This thesis mainly aims to present an effective data-driven strategy for building extraction using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::71207f5bcbe868bb5d184f1e11562a08

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Bilateral histogram equalization with pre-processing for contrast enhancement.

Autor: Amil, Feroz Mahmud, Rahman, Md. Mostafijur, Rahman, Shanto, Dey, Emon Kumar, Shoyaib, Mohammad

Publikováno v: 2016 17th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking & Parallel/Distributed Computing (SNPD); 2016, p231-236, 6p