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Samarjit Chakraborty

20 papers hereh-index 447.4k citations414 works total

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

author position
  • first author1
  • middle author4
  • last author14

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.NI7
  • eess.SP3
  • cs.PF2
  • cs.SE2
  • cs.CR1
  • cs.CV1
same name
  • Samarjit Chakraborty — 4 papers
  • Samarjit Chakraborty — 1 paper
  • Samarjit Chakraborty — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20162022
most citedSecurity in Automotive Networks: Lightweight Authentication and Authorization

85 citations · 142 across the 10 of their papers we have counts for

collaborators
Showing eess.SPShow all

3 papers · 1 filter

eess.SP2020★ 41 cited

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification

Friedrich Kruber, Jonas Wurst, Eduardo Sánchez Morales +2

The goal of this paper is to provide a method, which is able to find categories of traffic scenarios automatically. The architecture consists of three main components: A microscopi…

eess.SP2019

Cost-effective Energy Monitoring of a Zynq-based Real-time System including dual Gigabit Ethernet

Martin Geier, Dominik Faller, Marian Brändle +1

The ongoing integration of fine-grained power management features already established in CPU-driven Systems-on-Chip (SoCs) enables both traditional Field Programmable Gate Arrays (…

eess.SP2019★ 13 cited

Highway traffic data: macroscopic, microscopic and criticality analysis for capturing relevant traffic scenarios and traffic modeling based on the highD data set

Friedrich Kruber, Jonas Wurst, Samarjit Chakraborty +1

This work provides a comprehensive analysis on naturalistic driving behavior for highways based on the highD data set. Two thematic fields are considered. First, some macroscopic a…

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