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ORCIDRicha Verma
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2020 – today
- 2024
[c11]Richa Verma
, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran:
Guiding Offline Reinforcement Learning Using a Safety Expert. COMAD/CODS 2024: 82-90- 2023
- [j6]Richa Verma, Shalini Chandra:
RepuTE: A soft voting ensemble learning framework for reputation-based attack detection in fog-IoT milieu. Eng. Appl. Artif. Intell. 118: 105670 (2023) - [j5]Pulkit Sharma, Rhythm Arya, Richa Verma, Bindu Verma:
Conv-CapsNet: capsule based network for COVID-19 detection through X-Ray scans. Multim. Tools Appl. 82(18): 28521-28545 (2023) - [j4]Richa Verma, Shalini Chandra:
HBI-LB: A Dependable Fault-Tolerant Load Balancing Approach for Fog based Internet-of-Things Environment. J. Supercomput. 79(4): 3731-3749 (2023) - 2022
- [j3]Richa Verma, Shalini Chandra:
FogBus3: A scalable and reliable framework for integrated IoT and fog computing scenario. Trans. Emerg. Telecommun. Technol. 33(9) (2022) - [i11]Harshvardhan Anand, Nansi Begam, Richa Verma, Sourav Ghosh, Harichandana B. S. S, Sumit Kumar:
LIP: Lightweight Intelligent Preprocessor for meaningful text-to-speech. CoRR abs/2207.07118 (2022) - [i10]Md. Shamim Hassan, Abid Hossain Khan, Richa Verma, Dinesh Kumar, Kazuma Kobayashi, Shoaib Usman, Syed B. Alam:
Machine Learning and Artificial Intelligence-Driven Multi-Scale Modeling for High Burnup Accident-Tolerant Fuels for Light Water-Based SMR Applications. CoRR abs/2209.12146 (2022) - [i9]Abid Hossain Khan, Salauddin Omar, Nadia Mushtary, Richa Verma, Dinesh Kumar, Syed B. Alam:
Digital Twin and Artificial Intelligence Incorporated With Surrogate Modeling for Hybrid and Sustainable Energy Systems. CoRR abs/2210.00073 (2022) - [i8]M. Rahman, Abid Khan, Sayeed Anowar, Md. Al Imran, Richa Verma, Dinesh Kumar, Kazuma Kobayashi, Syed B. Alam:
Leveraging Industry 4.0 - Deep Learning, Surrogate Model and Transfer Learning with Uncertainty Quantification Incorporated into Digital Twin for Nuclear System. CoRR abs/2210.00074 (2022) - 2021
- [j2]Richa Verma, Shalini Chandra:
Interval-Valued Intuitionistic Fuzzy-Analytic Hierarchy Process for evaluating the impact of security attributes in Fog based Internet of Things paradigm. Comput. Commun. 175: 35-46 (2021) - [j1]Richa Verma, Shalini Chandra:
A Systematic Survey on Fog steered IoT: Architecture, Prevalent Threats and Trust Models. Int. J. Wirel. Inf. Networks 28(1): 116-133 (2021) - [c10]Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar:
SIBRE: Self Improvement Based REwards for Adaptive Feedback in Reinforcement Learning. AAMAS 2021: 1607-1609 - 2020
- [c9]Richa Verma, Shalini Chandra:
A Fuzzy AHP Approach for Ranking Security Attributes in Fog-IoT Environment. ICCCNT 2020: 1-5 - [i7]Somjit Nath, Richa Verma, Abhik Ray, Harshad Khadilkar:
SIBRE: Self Improvement Based REwards for Reinforcement Learning. CoRR abs/2004.09846 (2020) - [i6]Richa Verma, Aniruddha Singhal, Harshad Khadilkar, Ansuma Basumatary, Siddharth Nayak, Harsh Vardhan Singh, Swagat Kumar, Rajesh Sinha:
A Generalized Reinforcement Learning Algorithm for Online 3D Bin-Packing. CoRR abs/2007.00463 (2020)
2010 – 2019
- 2019
- [c8]Richa Verma, Sarmimala Saikia, Harshad Khadilkar, Puneet Agarwal, Gautam Shroff, Ashwin Srinivasan:
A Reinforcement Learning Framework for Container Selection and Ship Load Sequencing in Ports. AAMAS 2019: 2250-2252 - [c7]Sagar Verma, Richa Verma, P. B. Sujit:
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. IJCNN 2019: 1-8 - [c6]Richa Verma, Steven B. Bibyk:
Signal Rate Activity as a Formal Method for Fault Discovery and Monitoring in Trusted and Secure Electronics Development. MWSCAS 2019: 868-871 - [c5]Rajesh Kedia, Anupam Sobti, Mukund Rungta, Sarvesh Chandoliya, Akhil Soni, Anil Kumar Meena, Chrystle Myrna Lobo, Richa Verma, M. Balakrishnan, Chetan Arora:
MAVI: Mobility Assistant for Visually Impaired with Optional Use of Local and Cloud Resources. VLSID 2019: 227-232 - [i5]Sagar Verma, Richa Verma, P. B. Sujit:
MAPEL: Multi-Agent Pursuer-Evader Learning using Situation Report. CoRR abs/1910.07780 (2019) - [i4]Hardik Meisheri, Omkar Shelke, Richa Verma, Harshad Khadilkar:
Accelerating Training in Pommerman with Imitation and Reinforcement Learning. CoRR abs/1911.04947 (2019) - 2018
- [c4]Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Evolutionary RL for Container Loading. ESANN 2018 - [c3]Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. PAKDD (1) 2018: 437-449 - [i3]Prerna Agarwal, Richa Verma, Angshul Majumdar:
Indian Regional Movie Dataset for Recommender Systems. CoRR abs/1801.02203 (2018) - [i2]Prerna Agarwal, Richa Verma, Ayush Agarwal, Tanmoy Chakraborty:
DyPerm: Maximizing Permanence for Dynamic Community Detection. CoRR abs/1802.04593 (2018) - [i1]Sarmimala Saikia, Richa Verma, Puneet Agarwal, Gautam Shroff, Lovekesh Vig, Ashwin Srinivasan:
Evolutionary RL for Container Loading. CoRR abs/1805.06664 (2018) - 2016
- [c2]Prerna Agarwal, Richa Verma, Venkata M. V. Gunturi:
Discovering Spatial Regions of High Correlation. ICDM Workshops 2016: 1082-1089
2000 – 2009
- 2001
- [c1]Shernaaz M. Webster, Michael A. Webster, John Taylor, Jaikishan Jaikumar, Richa Verma:
Simultaneous blur contrast. Human Vision and Electronic Imaging 2001: 414-422
Coauthor Index
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