Prasenjit Karmakar

Orcid: 0000-0002-7345-1406

According to our database1, Prasenjit Karmakar authored at least 19 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
<i>AQuaMoHo</i>: Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer.
ACM Trans. Sens. Networks, August, 2023

Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction.
ACM Trans. Internet Things, February, 2023

Exploring Indoor Health: An In-depth Field Study on the Indoor Air Quality Dynamics.
CoRR, 2023

mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2023

mmAssist : Passive Monitoring of Driver's Attentiveness Using mmWave Sensors.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

2022
Reliable Backhauling in Aerial Communication Networks Against UAV Failures: A Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., 2022

AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer.
CoRR, 2022

Learning based Age of Information Minimization in UAV-relayed IoT Networks.
CoRR, 2022

2021
Stochastic Approximation With Iterate-Dependent Markov Noise Under Verifiable Conditions in Compact State Space With the Stability of Iterates Not Ensured.
IEEE Trans. Autom. Control., 2021

On tight bounds for function approximation error in risk-sensitive reinforcement learning.
Syst. Control. Lett., 2021

Can I go for a roof walk today?: know your housing's air quality from a thermo-hygrometer.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

2020
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning.
CoRR, 2020

Ad-hocBusPoI: Context Analysis of Ad-hoc Stay-locations from Intra-city Bus Mobility and Smartphone Crowdsensing.
Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

2018
Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning.
Math. Oper. Res., 2018

2016
On a convergent off -policy temporal difference learning algorithm in on-line learning environment.
CoRR, 2016

A note on the function approximation error bound for risk-sensitive reinforcement learning.
CoRR, 2016

2015
Scalable Reliability Modelling of RAID Storage Subsystems.
CoRR, 2015

Are Markov Models Effective for Storage Reliability Modelling?
CoRR, 2015

Two Timescale Stochastic Approximation with Controlled Markov noise.
CoRR, 2015


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