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Journal Articles
- 2019
[j2]M. Saravanan, Satheesh K. Perepu:
Realizing Social-Media-Based Analytics for Smart Agriculture. Rev. Socionetwork Strateg. 13(1): 33-53 (2019)- [j1]Satheesh K. Perepu
, Arun K. Tangirala:
Online Estimation of Missing Data Using Sparse Optimization Techniques With Applications to Classical Control. IEEE Trans. Control. Syst. Technol. 27(2): 495-506 (2019)
Conference and Workshop Papers
- 2024
- [c13]Kaushik Dey, Satheesh K. Perepu, Abir Das:
Goals are Enough: Inducing AdHoc Cooperation Among Unseen Multi-Agent Systems in IMFs. CCNC 2024: 425-432 - [c12]Satheesh Kumar Perepu, Kaushik Dey, Abir Das:
DSDF: Coordinated look-ahead strategy in multi-agent reinforcement learning with noisy agents. COMAD/CODS 2024: 73-81 - [c11]Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta:
Towards Adaptive Networks - Generalized utility functions in Multi-Agent Frameworks. NetSoft 2024: 336-340 - 2023
- [c10]Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das:
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. NetSoft 2023: 152-160 - 2022
- [c9]Satheesh K. Perepu, M. Saravanan:
Optimize Next State Prediction in Safe RL for 5G Ecosystem. COMSNETS 2022: 652-657 - [c8]Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey:
Intent-based multi-agent reinforcement learning for service assurance in cellular networks. GLOBECOM 2022: 2879-2884 - [c7]Satheesh K. Perepu, Vivek Shankar Pinnamaraju:
A novel unsupervised method for root cause analysis of anomalies using sparse optimization techniques. ICSC 2022: 416-422 - 2021
- [c6]M. Saravanan, Satheesh K. Perepu:
Intelligent Question Answering using Knowledge Representation for Managed Services. COMAD/CODS 2021: 262-266 - [c5]Gautham Krishna Gudur, Satheesh Kumar Perepu:
Zero-Shot Federated Learning with New Classes for Audio Classification. Interspeech 2021: 1579-1583 - 2020
- [c4]Satheesh K. Perepu, Kaushik Dey:
CDDM: A method to detect and handle Concept Drift in Dynamic Mobility Model for seamless 5G Services. GLOBECOM (Workshops) 2020: 1-6 - 2018
- [c3]M. Saravanan, Satheesh K. Perepu, Sudipta Bose:
A New Chat Solution for Shared Services using Natural Language Processing Models. ICON 2018: 87-91 - [c2]M. Saravanan, Satheesh K. Perepu, Amit Sharma:
Exploring Collective Behavior of Internet of Robotic Things for Indoor Plant Health Monitoring. IOTAIS 2018: 148-154 - [c1]M. Saravanan, Satheesh K. Perepu:
Focusing Social Media Based Analytics for Plant Diseases in Smart Agriculture. MISNC 2018: 20:1-20:7
Informal and Other Publications
- 2024
- [i10]Kaushik Dey, Satheesh K. Perepu, Abir Das, Pallab Dasgupta:
Towards Adaptive IMFs - Generalization of utility functions in Multi-Agent Frameworks. CoRR abs/2405.07621 (2024) - [i9]Aswath Muthuselvam, S. Sowdeshwar, M. Saravanan, Satheesh K. Perepu:
Advanced Machine Learning Framework for Efficient Plant Disease Prediction. CoRR abs/2409.05174 (2024) - 2023
- [i8]Kaushik Dey, Satheesh K. Perepu, Pallab Dasgupta, Abir Das:
Domain Adaptation of Reinforcement Learning Agents based on Network Service Proximity. CoRR abs/2303.01013 (2023) - [i7]Kaushik Dey, Satheesh K. Perepu, Abir Das:
Goals are Enough: Inducing AdHoc cooperation among unseen Multi-Agent systems in IMFs. CoRR abs/2310.17416 (2023) - 2022
- [i6]Satheesh K. Perepu, Jean P. Martins, Ricardo Souza S, Kaushik Dey:
Multi-agent reinforcement learning for intent-based service assurance in cellular networks. CoRR abs/2208.03740 (2022) - 2021
- [i5]Gautham Krishna Gudur, Satheesh K. Perepu:
Zero-Shot Federated Learning with New Classes for Audio Classification. CoRR abs/2106.10019 (2021) - [i4]Satheesh K. Perepu, Kaushik Dey:
DSDF: An approach to handle stochastic agents in collaborative multi-agent reinforcement learning. CoRR abs/2109.06609 (2021) - 2020
- [i3]Satheesh K. Perepu, Bala Shyamala Balaji, Hemanth Kumar Tanneru, Sudhakar Kathari, Vivek Shankar Pinnamaraju:
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting. CoRR abs/2008.08878 (2020) - [i2]Gautham Krishna Gudur, Bala Shyamala Balaji, Satheesh K. Perepu:
Resource-Constrained Federated Learning with Heterogeneous Labels and Models. CoRR abs/2011.03206 (2020) - [i1]Gautham Krishna Gudur, Satheesh K. Perepu:
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring. CoRR abs/2012.02539 (2020)
Coauthor Index
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