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ORCIDPrasenjit Karmakar
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2020 – today
- 2024
[j8]Divija Swetha Gadiraju, Prasenjit Karmakar
, Vijay K. Shah, Vaneet Aggarwal:
GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments. Inf. 15(8): 477 (2024)- [j7]Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, Sandip Chakraborty:
Passive Monitoring of Dangerous Driving Behaviors Using mmWave Radar. Pervasive Mob. Comput. 103: 101949 (2024) - [c6]Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty:
Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic Setting. MobileHCI (Companion) 2024: 14:1-14:6 - [c5]Prasenjit Karmakar, Ajay Kumar Meena, Kushal Natani, Sandip Chakraborty:
Multimodal Sensing for Predicting Real-time Biking Behavior based on Contextual Information. PerCom Workshops 2024: 441-444 - [i14]Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty:
Exploring Indoor Air Quality Dynamics in Developing Nations: A Perspective from India. CoRR abs/2407.14393 (2024) - [i13]Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty:
Indoor Air Quality Dataset with Activities of Daily Living in Low to Middle-income Communities. CoRR abs/2407.14501 (2024) - [i12]Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty:
Exploiting Air Quality Monitors to Perform Indoor Surveillance: Academic Setting. CoRR abs/2408.05779 (2024) - 2023
- [j6]Ratna Mandal, Prasenjit Karmakar, Soumyajit Chatterjee, Debaleen Das Spandan, Shouvit Pradhan, Sujoy Saha, Sandip Chakraborty, Subrata Nandi:
Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction. ACM Trans. Internet Things 4(1): 1:1-1:24 (2023) - [j5]Prithviraj Pramanik, Prasenjit Karmakar, Praveen Kumar Sharma, Soumyajit Chatterjee, Abhijit Roy, Santanu Mandal, Subrata Nandi, Sandip Chakraborty, Mousumi Saha, Sujoy Saha:
AQuaMoHo: Localized Low-cost Outdoor Air Quality Sensing over a Thermo-hygrometer. ACM Trans. Sens. Networks 19(3): 69:1-69:30 (2023) - [c4]Argha Sen, Anirban Das, Prasenjit Karmakar, Sandip Chakraborty:
mmAssist : Passive Monitoring of Driver's Attentiveness Using mmWave Sensors. COMSNETS 2023: 545-553 - [c3]Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, Sandip Chakraborty:
mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving. PERCOM 2023: 2-11 - [i11]Argha Sen, Avijit Mandal, Prasenjit Karmakar, Anirban Das, Sandip Chakraborty:
mmDrive: mmWave Sensing for Live Monitoring and On-Device Inference of Dangerous Driving. CoRR abs/2301.08188 (2023) - [i10]Prasenjit Karmakar, Swadhin Pradhan, Sandip Chakraborty:
Exploring Indoor Health: An In-depth Field Study on the Indoor Air Quality Dynamics. CoRR abs/2310.12241 (2023) - 2022
- [j4]Prasenjit Karmakar, Vijay K. Shah, Satyaki Roy, Krishnandu Hazra, Sujoy Saha, Subrata Nandi:
Reliable Backhauling in Aerial Communication Networks Against UAV Failures: A Deep Reinforcement Learning Approach. IEEE Trans. Netw. Serv. Manag. 19(3): 2798-2811 (2022) - [i9]Biplav Choudhury, Prasenjit Karmakar, Vijay K. Shah, Jeffrey H. Reed:
Learning based Age of Information Minimization in UAV-relayed IoT Networks. CoRR abs/2203.04227 (2022) - [i8]Prithviraj Pramanik, Prasenjit Karmakar, Praveen Kumar Sharma, Soumyajit Chatterjee, Subrata Nandi, Sandip Chakraborty, Mousumi Saha, Sujoy Saha:
AQuaMoHo: Localized Low-Cost Outdoor Air Quality Sensing over a Thermo-Hygrometer. CoRR abs/2204.11484 (2022) - 2021
- [j3]Prasenjit Karmakar, Shalabh Bhatnagar:
On tight bounds for function approximation error in risk-sensitive reinforcement learning. Syst. Control. Lett. 150: 104899 (2021) - [j2]Prasenjit Karmakar, Shalabh Bhatnagar:
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. 66(12): 5941-5954 (2021) - [c2]Praveen Kumar Sharma, Prasenjit Karmakar, Soumyajit Chatterjee, Abhijit Roy, Santanu Mandal, Sandip Chakraborty, Subrata Nandi, Sujoy Saha:
Can I go for a roof walk today?: know your housing's air quality from a thermo-hygrometer. BuildSys@SenSys 2021: 91-100 - [i7]Ratna Mandal, Prasenjit Karmakar, Soumyajit Chatterjee, Debaleen Das Spandan, Shouvit Pradhan, Sujoy Saha, Sandip Chakraborty, Subrata Nandi:
Exploiting Multi-modal Contextual Sensing for City-bus's Stay Location Characterization: Towards Sub-60 Seconds Accurate Arrival Time Prediction. CoRR abs/2105.13131 (2021) - 2020
- [c1]Ratna Mandal, Prasenjit Karmakar, Abhijit Roy, Arpan Saha, Soumyajit Chatterjee, Sandip Chakraborty, Sujoy Saha, Subrata Nandi:
Ad-hocBusPoI: Context Analysis of Ad-hoc Stay-locations from Intra-city Bus Mobility and Smartphone Crowdsensing. SIGSPATIAL/GIS 2020: 457-460 - [i6]Prasenjit Karmakar:
Stochastic Approximation with Markov Noise: Analysis and applications in reinforcement learning. CoRR abs/2012.00805 (2020)
2010 – 2019
- 2018
- [j1]Prasenjit Karmakar, Shalabh Bhatnagar:
Two Time-Scale Stochastic Approximation with Controlled Markov Noise and Off-Policy Temporal-Difference Learning. Math. Oper. Res. 43(1): 130-151 (2018) - 2016
- [i5]Prasenjit Karmakar, Raj Kumar Maity, Shalabh Bhatnagar:
On a convergent off -policy temporal difference learning algorithm in on-line learning environment. CoRR abs/1605.06076 (2016) - [i4]Prasenjit Karmakar, Shalabh Bhatnagar:
A note on the function approximation error bound for risk-sensitive reinforcement learning. CoRR abs/1612.07562 (2016) - 2015
- [i3]Prasenjit Karmakar, K. Gopinath:
Are Markov Models Effective for Storage Reliability Modelling? CoRR abs/1503.07931 (2015) - [i2]Prasenjit Karmakar, Shalabh Bhatnagar:
Two Timescale Stochastic Approximation with Controlled Markov noise. CoRR abs/1503.09105 (2015) - [i1]Prasenjit Karmakar, K. Gopinath:
Scalable Reliability Modelling of RAID Storage Subsystems. CoRR abs/1508.02055 (2015)
Coauthor Index
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