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A. S. M. Sanwar Hosen
Researcher at Chonbuk National University
Publications - 34
Citations - 552
A. S. M. Sanwar Hosen is an academic researcher from Chonbuk National University. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 10, co-authored 28 publications receiving 208 citations. Previous affiliations of A. S. M. Sanwar Hosen include Kunsan National University.
Papers
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Blockchain Security Attacks, Challenges, and Solutions for the Future Distributed IoT Network
TL;DR: In this paper, the authors discuss the blockchain concept and relevant factors that provide a detailed analysis of potential security attacks and presents existing solutions that can be deployed as countermeasures to such attacks.
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Application of Artificial Intelligence in Predicting Earthquakes: State-of-the-Art and Future Challenges
Md. Hasan Al Banna,Kazi Abu Taher,M. Shamim Kaiser,Mufti Mahmud,Md. Sazzadur Rahman,A. S. M. Sanwar Hosen,Gihwan Cho +6 more
TL;DR: Covering all existing AI-based techniques in earthquake prediction, this article provides an account of the available methodologies and a comparative analysis of their performances and outlines some open challenges and potential research directions in the field.
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Artificial intelligence and internet of things in screening and management of autism spectrum disorder
Tapotosh Ghosh,Md. Hasan Al Banna,Md. Sazzadur Rahman,M. Shamim Kaiser,Mufti Mahmud,A. S. M. Sanwar Hosen,Gihwan Cho +6 more
TL;DR: In this paper, some of the research works in the field of application of AI, ML, and IoT in autism were reviewed and incorporation of the autism facilities in smart city environment is described.
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CoAR: Congestion-Aware Routing Protocol for Low Power and Lossy Networks for IoT Applications.
TL;DR: A congestion-aware routing protocol (CoAR) which utilizes the selection of an alternative parent to alleviate the congestion in the network and is capable of dealing successfully with congestion in LLNs while preserving the required characteristics of the IoT applications.
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Security Assured CNN-Based Model for Reconstruction of Medical Images on the Internet of Healthcare Things
Sujeet More,Jimmy Singla,Sahil Verma,Kavita,Uttam Ghosh,Joel J. P. C. Rodrigues,A. S. M. Sanwar Hosen,In-Ho Ra +7 more
TL;DR: An innovative and improvised denoising technique is implemented that applies a sparse aware with convolution neural network (SA_CNN) for investigating various medical modalities and optimizes the computational time to achieve increased efficiency and better visual quality of the image.