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ORCIDSupriya Chakraborty
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2020 – today
- 2023
[c7]Supriya Chakraborty
, Tamoghno Das, Manan Suri:
Investigation of Voltage Fault Injection Attacks on NN Inference Utilizing NVM Based Weight Storage. APCCAS 2023: 26-30- 2022
- [j4]Sudarshan Nandy, Mainak Adhikari, Supriya Chakraborty, Ahmed Alkhayyat, Neeraj Kumar:
IBoNN: Intelligent Agent-based Internet of Medical Things framework for detecting brain response from Electroencephalography signal using Bag-of-Neural Network. Future Gener. Comput. Syst. 130: 241-252 (2022) - [i5]Supriya Chakraborty, Tamoghno Das, Manan Suri:
Exploiting Nanoelectronic Properties of Memory Chips for Prevention of IC Counterfeiting. CoRR abs/2209.09197 (2022) - 2021
- [i4]Dibyendu Ghosh, Srija Chakraborty, Hariprasad Kodamana, Supriya Chakraborty:
Application of Machine Learning in understanding plant virus pathogenesis: Trends and perspectives on emergence, diagnosis, host-virus interplay and management. CoRR abs/2112.01998 (2021) - 2020
- [c6]Supriya Chakraborty, Abhishek Gupta, Manan Suri:
Unified Characterization Platform for Emerging NVM Technology: Neural Network Application Benchmarking using off-the-Shelf NVM Chips. ISCAS 2020: 1-5 - [i3]Abhilash Garg, Supriya Chakraborty, Manoj Malik, Devesh Kumar, Satyajeet Singh, Manan Suri:
Investigation of Data Deletion Vulnerabilities in NAND Flash Memory Based Storage. CoRR abs/2001.07424 (2020) - [i2]Supriya Chakraborty, Abhishek Gupta, Manan Suri:
Unified Characterization Platform for Emerging NVM Technology: Neural Network Application Benchmarking Using off-the-shelf NVM Chips. CoRR abs/2006.05696 (2020)
2010 – 2019
- 2018
- [j3]Supriya Chakraborty, Tinish Bhattacharya, Manan Suri:
Current Optimized Coset Coding for Efficient RRAM Programming. IEEE Trans. Very Large Scale Integr. Syst. 26(5): 1000-1004 (2018) - 2017
- [c5]Supriya Chakraborty, Novarun Deb, Nabendu Chaki:
Measuring the Effectiveness of Knowledge Driven Web Applications. ACIIDS (Extended Posters) 2017: 455-466 - [c4]Tinish Bhattacharya, Supriya Chakraborty, Manan Suri:
Advanced performance improvement algorithms for emerging resistive memory: CBRAM case study. NVMSA 2017: 1-4 - 2016
- [j2]Supriya Chakraborty, Agostino Cortesi, Nabedu Chaki:
A uniform representation of multi-variant data in intensive-query databases. Innov. Syst. Softw. Eng. 12(3): 163-176 (2016) - 2015
- [c3]Ashish Roy, Supriya Chakraborty, Chinmoy Bhattacharya:
Development of Tomographic Imaging Algorithms for Sonar and Radar. SIRS 2015: 285-296 - 2014
- [j1]Supriya Chakraborty, Nabendu Chaki:
Generic organization of semi-structured data. Comput. Syst. Sci. Eng. 29(1) (2014) - 2012
- [c2]Supriya Chakraborty, Nabendu Chaki:
DFRS: a domain-based framework for representing semi-structured data. CUBE 2012: 447-452 - 2011
- [c1]Supriya Chakraborty, Nabendu Chaki:
A Survey on the Semi-Structured Data Models. CISIM 2011: 257-266 - [i1]Supriya Chakraborty, Nabendu Chaki:
Quality Evaluation of Conceptual Level Object Multidimensional Data Model. CoRR abs/1108.5466 (2011)
Coauthor Index
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