Richa Verma

Orcid: 0000-0002-9913-2956

According to our database1, Richa Verma authored at least 25 papers between 2001 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Guiding Offline Reinforcement Learning Using a Safety Expert.
Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans.
Multim. Tools Appl., July, 2023

HBI-LB: A Dependable Fault-Tolerant Load Balancing Approach for Fog based Internet-of-Things Environment.
J. Supercomput., March, 2023

RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu.
Eng. Appl. Artif. Intell., 2023

2022
FogBus3: A scalable and reliable framework for integrated IoT and fog computing scenario.
Trans. Emerg. Telecommun. Technol., 2022

Leveraging Industry 4.0 - Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System.
CoRR, 2022

Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems.
CoRR, 2022

Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications.
CoRR, 2022

LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech.
CoRR, 2022

2021
A Systematic Survey on Fog steered IoT: Architecture, Prevalent Threats and Trust Models.
Int. J. Wirel. Inf. Networks, 2021

Interval-Valued Intuitionistic Fuzzy-Analytic Hierarchy Process for evaluating the impact of security attributes in Fog based Internet of Things paradigm.
Comput. Commun., 2021

SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing.
CoRR, 2020

SIBRE: Self Improvement Based REwards for Reinforcement Learning.
CoRR, 2020

A Fuzzy AHP Approach for Ranking Security Attributes in Fog-IoT Environment.
Proceedings of the 11th International Conference on Computing, 2020

2019
Accelerating Training in Pommerman with Imitation and Reinforcement Learning.
CoRR, 2019

MAVI: Mobility Assistant for Visually Impaired with Optional Use of Local and Cloud Resources.
Proceedings of the 32nd International Conference on VLSI Design and 18th International Conference on Embedded Systems, 2019

Signal Rate Activity as a Formal Method for Fault Discovery and Monitoring in Trusted and Secure Electronics Development.
Proceedings of the 62nd IEEE International Midwest Symposium on Circuits and Systems, 2019

MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report.
Proceedings of the International Joint Conference on Neural Networks, 2019

A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Indian Regional Movie Dataset for Recommender Systems.
CoRR, 2018

DyPerm: Maximizing Permanence for Dynamic Community Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Evolutionary RL for Container Loading.
Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016
Discovering Spatial Regions of High Correlation.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2001
Simultaneous blur contrast.
Proceedings of the Human Vision and Electronic Imaging VI, 2001


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