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Dr Rakesh N

vidwan id: 334977
Male

Associate Professor, Department of Information Science and Engineering
BMS Institute of Technology and Management

Expertise

  • Computer Science Information Systems

Publications

Total Articles 35
Books 0
Proceedings 0

Publications

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Scopus

Citations 181
h-index 9

CrossRef

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Citations 19
h-index 2
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Bio

His area of interest includes Computer Networks, VoIP security protocols, Virtual private networks, Wireless Communication, Wireless sensor Networks, the Internet of Things, Wireless Channel Modelling, Wireless Communication, and also exploring Machine Learning, and Deep Learning areas.

Personal Details

  • Male
  • Associate Professor , BMS Institute of Technology and Management
Ph.D in CSE, PRIST University Thanjore, TN
Other Institute 2013
Associate Professor Apr 2021 – Present
BMS Institute of Technology and Management | Department of Information Science and Engineering

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Co-Authors (3)

Manavaalan

Dr Manavaalan G

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Scholarly Work

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Scholarly Publications

Enhancement and performance analysis of LEACH algorithm in IOT

Open Access
Conference Paper
Authors: Ashwini M.;Rakesh N.

Design and development of real time patient monitoring system with GSM technology

Open Access
Article

Flow based traffic congestion prediction and intelligent signalling using markov decision process

Open Access
Conference Paper

Performance analysis of Anomaly detection of different IoT datasets using cloud micro services

Open Access
Conference Paper

Notice of Removal: Experimental study on gate areas using L-band channel with WiMax frequency for efficient aircraft communication

Open Access
Retracted
Authors: Sandhya K.;Rakesh N.

Performance analysis of Received Signal Strength with 2.6GHz and 3.5GHz for IEEE 802.16 WiMax frequency in urban terrain

Open Access
Conference Paper
Authors: Rakesh N.;Sandhya K.

Improvising the performance of shadowing effects in urban terrains using empirical models

Open Access
Conference Paper
Authors: Nalineswari D.;Rakesh N.

Enhancement of speech compression based on various wavelet transform, run length encoding and thresholding

Open Access
Article