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Debabrata Samanta
Researcher at Christ University
Publications - 90
Citations - 809
Debabrata Samanta is an academic researcher from Christ University. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 8, co-authored 52 publications receiving 251 citations.
Papers
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Journal ArticleDOI
Distributed Feedback Laser (DFB) for Signal Power Amplitude Level Improvement in Long Spectral Band
Debabrata Samanta,M. Sivaram,Ahmed Nabih Zaki Rashed,C. S. Boopathi,Iraj Sadegh Amiri,P. P. Yupapin +5 more
TL;DR: In this paper, a distributed feedback laser for signal power amplitude level improvement in the long spectral band of 1550-nm wavelength within supporting pumped wavelength of 1480-nm was presented, where the bias and modulation peak currents were varied to test the signal power level, peak signal amplitude variations after the fiber-optic channel and light detectors.
Journal ArticleDOI
An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning
Aditya Khamparia,Prakash Kumar Singh,Poonam Rani,Debabrata Samanta,Ashish Khanna,Bharat Bhushan +5 more
TL;DR: It has been observed that performance metric evaluation of proposed framework outperformed other pretrained architectures in term of precision, recall, and accuracy in detection and classification of skin cancer from skin lesion images.
Journal ArticleDOI
IoT-Based Smart Alert System for Drowsy Driver Detection
TL;DR: In this article, a smart alert technique for building intelligent vehicles that can automatically avoid drowsy driver impairment is presented. But drowsiness is a natural phenomenon in the human body that happens due to different factors, hence it is required to design a robust alert system to avoid the cause of the mishap.
Journal ArticleDOI
Malicious node detection using heterogeneous cluster based secure routing protocol (HCBS) in wireless adhoc sensor networks
TL;DR: The proposed heterogeneous cluster based secure routing scheme provides trust based secure network for detection of attacks such as wormhole and black hole caused by malicious nodes presence in wireless Adhoc network.
Proceedings ArticleDOI
An Overview: Security Issue in IoT Network
TL;DR: This study contains twelve different kinds of attacks, for example, low-graded attacks, average level attacks, great attacks ad particularly high intensity attacks along with their nature or behavior as well as resolutions to cater these attacks are discussed.