Tapas K. Das

According to our database, Tapas K. Das authored at least 15 papers between 1996 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Multi-agent Deep Reinforcement Learning for Dynamic Pricing by Fast-charging Electric Vehicle Hubs in ccompetition.

Diwas Paudel, Tapas K. Das

CoRR, 2024

2023

A systematic literature review on object detection using near infrared and thermal images.

Nicolas Bustos, Mehrsa Mashhadi, Susana K. Lai-Yuen, Sudeep Sarkar, Tapas K. Das

Neurocomputing, December, 2023

An AI-Assisted Systematic Literature Review of the Impact of Vehicle Automation on Energy Consumption.

Mohammad Noroozi, Hanieh Rastegar Moghaddam, Ankit Shah, Hadi Charkhgard, Sudeep Sarkar, Tapas K. Das, Timothy Pohland

IEEE Trans. Intell. Veh., June, 2023

Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation.

Soumyadeep Hore, Jalal Ghadermazi, Diwas Paudel, Ankit Shah, Tapas K. Das, Nathaniel D. Bastian

CoRR, 2023

2022

Routing and Charging Facility Location for EVs Under Nodal Pricing of Electricity: A Bilevel Model Solved Using Special Ordered Set.

Sebastián González, Felipe Feijoo, Franco Basso, Vignesh Subramanian, Sriram Sankaranarayanan, Tapas K. Das

IEEE Trans. Smart Grid, 2022

2018

An integer linear programming formulation for removing nodes in a network to minimize the spread of influenza virus infections.

Hadi Charkhgard, Vignesh Subramanian, Walter Silva, Tapas K. Das

Discret. Optim., 2018

2015

A MDP Model for Breast and Ovarian Cancer Intervention Strategies for BRCA1/2 Mutation Carriers.

Mehrnaz Abdollahian, Tapas K. Das

IEEE J. Biomed. Health Informatics, 2015

2011

A predictive decision-aid methodology for dynamic mitigation of influenza pandemics.

Andrés Uribe-Sánchez, Alex Savachkin, Alfredo Santana, Diana Prieto-Santa, Tapas K. Das

OR Spectr., 2011

2007

A Multiresolution Analysis-Assisted Reinforcement Learning Approach to Run-by-Run Control.

Rajesh Ganesan, Tapas K. Das, Kandethody M. Ramachandran

IEEE Trans Autom. Sci. Eng., 2007

2005

A multi-agent reinforcement learning approach to obtaining dynamic control policies for stochastic lot scheduling problem.

Carlos D. Paternina-Arboleda, Tapas K. Das

Simul. Model. Pract. Theory, 2005

2003

A simulation-based approach to study stochastic inventory-planning games.

Jaideep J. Rao, Kiran Kumar Ravulapati, Tapas K. Das

Int. J. Syst. Sci., 2003

1998

A scene-based generalized Markov chain model for VBR video traffic.

Girish Chiruvolu, Tapas K. Das, Ravi Sankar, N. Ranganathan

Proceedings of the 1998 IEEE International Conference on Communications, 1998

1997

Developing Social Virtual Worlds using NetEffect.

Tapas K. Das, Gurminder Singh, Alex Mitchell, P. Senthil Kumar, Kevin McGee

Proceedings of the 6th Workshop on Enabling Technologies (WET-ICE '97), 1997

NetEffect: a network architecture for large-scale multi-user virtual worlds.

Tapas K. Das, Gurminder Singh, Alex Mitchell, P. Senthil Kumar, Kevin McGee

Proceedings of the ACM Symposium on Virtual Reality Software and Technology, 1997

1996

Large scale multi-user virtual worlds.

Gurminder Singh, Tapas K. Das

Proceedings of the Advanced IT Tools, 1996