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ORCIDRicha Verma
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Journal Articles
- 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) - 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)
Conference and Workshop Papers
- 2024
- [c11]Richa Verma, Durgesh Kalwar, Harshad Khadilkar, Balaraman Ravindran:
Guiding Offline Reinforcement Learning Using a Safety Expert. COMAD/CODS 2024: 82-90 - 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 - 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 - 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 - 2016
- [c2]Prerna Agarwal, Richa Verma, Venkata M. V. Gunturi:
Discovering Spatial Regions of High Correlation. ICDM Workshops 2016: 1082-1089 - 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
Informal and Other Publications
- 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) - 2020
- [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) - 2019
- [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
- [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)
Coauthor Index
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