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researcher

P. Basak

3 papers hereh-index 171.7k citations78 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • last author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SP2
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedEstimation of energy consumption of electric vehicles using Deep Convolutional Neural Network to reduce driver's range anxiety

103 citations · 134 across the 2 of their papers we have counts for

collaborators

3 papers

cs.LG2021★ 31 cited

Multistep traffic speed prediction: A deep learning based approach using latent space mapping considering spatio-temporal dependencies

Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak

Traffic management in a city has become a major problem due to the increasing number of vehicles on roads. Intelligent Transportation System (ITS) can help the city traffic manager…

eess.SP2020

Convolutional Neural Network-Bagged Decision Tree: A hybrid approach to reduce electric vehicle's driver's range anxiety by estimating energy consumption in real-time

Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak

To overcome range anxiety problem of Electric Vehicles (EVs), an accurate real-time energy consumption estimation is necessary, which can be used to provide the EV's driver with in…

eess.SP2020★ 103 cited

Estimation of energy consumption of electric vehicles using Deep Convolutional Neural Network to reduce driver's range anxiety

Shatrughan Modi, Jhilik Bhattacharya, Prasenjit Basak

The goal of this work is to reduce driver's range anxiety by estimating the real-time energy consumption of electric vehicles using deep convolutional neural network. The real-time…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.