Search Results for author: M. Shamim Kaiser

Found 3 papers, 0 papers with code

Deep Learning in Mining Biological Data

no code implementations28 Feb 2020 Mufti Mahmud, M. Shamim Kaiser, Amir Hussain

Highlighting the role of DL in recognizing patterns in biological data, this article provides - applications of DL to biological sequences, images, and signals data; overview of open access sources of these data; description of open source DL tools applicable on these data; and comparison of these tools from qualitative and quantitative perspectives.

A Brain-Inspired Trust Management Model to Assure Security in a Cloud based IoT Framework for Neuroscience Applications

no code implementations11 Jan 2018 Mufti Mahmud, M. Shamim Kaiser, M. Mostafizur Rahman, M. Arifur Rahman, Antesar Shabut, Shamim Al-Mamun, Amir Hussain

To ensure secure and reliable data communication between end-to-end (E2E) devices supported by current IoT and cloud infrastructure, trust management is needed at the IoT and user ends.


Applications of Deep Learning and Reinforcement Learning to Biological Data

no code implementations10 Nov 2017 Mufti Mahmud, M. Shamim Kaiser, Amir Hussain, Stefano Vassanelli

Rapid advances of hardware-based technologies during the past decades have opened up new possibilities for Life scientists to gather multimodal data in various application domains (e. g., Omics, Bioimaging, Medical Imaging, and [Brain/Body]-Machine Interfaces), thus generating novel opportunities for development of dedicated data intensive machine learning techniques.


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