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ORCIDPriyanka Singh 0004
Person information
- affiliation: VIT-AP University, School of Computer Science and Engineering, Amaravati, India
- affiliation (PhD 2023): National Institute of Technology Silchar, India
Other persons with the same name
- Priyanka Singh — disambiguation page
- Priyanka Singh 0001
![[0000-0001-5002-8800]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0001-5002-8800")
— University of Queensland, School of Electrical Engineering and Computer Science, Brisbane, QLD, Australia (and 4 more) - Priyanka Singh 0003 — SRM University AP, Department of Computer Science, Amaravati, India
- Priyanka Singh 0005 — Maynooth University, Innovation Value Institute, Ireland
- Priyanka Singh 0007 — Institute of Genomics and Integrative Biology, Delhi University Campus, India
- Priyanka Singh 0008 — Indraprastha Institute of Information Technology-Delhi, Department of Electronics and Communication Engineering, New Delhi, India
- Priyanka Singh 0009 — Indian Institute of Remote Sensing, Geoinformatics Department, Dehradun, India
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2020 – today
- 2025
[j6]Janapati Venkata Krishna, Priyanka Singh, Regonda Nagaraju, Setti Vidya Sagar Appaji, Attuluri Uday Kiran, K. Spandana:
Design of an Improved Method for Visual Rendering in the Metaverse Using CIEM and MSRANet. IEEE Access 13: 22176-22196 (2025)- [j5]Saswat Kumar Ram, Sanjeev Mani Yadav, Jayendra Kumar, Priyanka Singh, Banee Bandana Das:
Eternal-Thing 3.0: Mixed-Mode SoC for Energy Harvesting System Towards Sustainable IoT. IEEE Access 13: 112765-112776 (2025) - [j4]Shreya Shree Das, Priyanka Singh, Jayendra Kumar, Subhojit Dawn, Anumoy Ghosh:
A machine learning-based approach for maximizing system profit in a power system by imbalance price curtailment. Comput. Electr. Eng. 121: 109874 (2025) - [j3]Priyanka Singh, Samir Kumar Borgohain, Jayendra Kumar:
Optimized feature representation and selection for malware detection using portable executable headers and machine learning. J. Comput. Virol. Hacking Tech. 21(1): 10 (2025) - 2023
- [j2]Priyanka Singh, Samir Kumar Borgohain, Achintya Kumar Sarkar, Jayendra Kumar, Lakhan Dev Sharma:
Feed-Forward Deep Neural Network (FFDNN)-Based Deep Features for Static Malware Detection. Int. J. Intell. Syst. 2023: 1-20 (2023) - 2022
- [j1]Priyanka Singh, Samir Kumar Borgohain, Lakhan Dev Sharma, Jayendra Kumar:
Minimized feature overhead malware detection machine learning model employing MRMR-based ranking. Concurr. Comput. Pract. Exp. 34(17) (2022)
Coauthor Index
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