Anand Nayyar
Indian computer scientist
Facts
7 properties- Instance of
- human
- Date of birth
- July 10, 1984
- Occupation
- researcher, computer scientist
- Employer
- Duy Tan University[4]
- Educated at
- Sikkim Manipal University
🏷️ Also known as
en Anand Nayyar
en A Nayyar
🔖 Identifiers · 18
- ISNI
- 0000000513235885
- ORCID iD
- 0000-0002-9821-6146
- VIAF cluster ID
- 6152682518423311948
- Library of Congress authority ID
- n2018028089
- GND ID
- 1202732518
- Bibliothèque nationale de France ID
- 181125800
- CiNii Research ID
- 1140848327369412225
- Dimensions author ID
- 012034663442.00
- Google Scholar author ID
- 7uvZuX8AAAAJ
- IEEE Xplore author ID
- 38242651000
- IdRef ID
- 24977349X
- NACSIS-CAT author ID
- DA19440563
Show all 18 identifiers +6
- NUKAT ID
- n2021088650
- National Library of Israel J9U ID
- 987012501974005171
- ResearchGate profile ID
- Anand_Nayyar
- ResearcherID
- F-3732-2015, G-6134-2019
- Scopus author ID
- 55201442200
- Yale LUX ID
- person/cd12d3fa-21dc-4cbe-8245-80253b4cf613
🔗 Connections
Author of 101
A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models,
A context-sensitive multi-tier deep learning framework for multimodal sentiment analysis,
A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid,
Adaptive Flower Pollination Algorithm-Based Energy Efficient Routing Protocol for Multi-Robot Systems,
A deep learning approach to intelligent fruit identification and family classification,
A Gaussian process‐based approach toward credit risk modeling using stationary activations,
A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field,
A hybrid crypto-compression model for secure brain mri image transmission
+93 more
← Authored by 101
A comprehensive analysis and prediction of earthquake magnitude based on position and depth parameters using machine and deep learning models,
A context-sensitive multi-tier deep learning framework for multimodal sentiment analysis,
A Critical Analysis of Methodologies for Detection and Classification of Power Quality Events in Smart Grid,
Adaptive Flower Pollination Algorithm-Based Energy Efficient Routing Protocol for Multi-Robot Systems,
A deep learning approach to intelligent fruit identification and family classification,
A Gaussian process‐based approach toward credit risk modeling using stationary activations,
A high performance-oriented AI-enabled IoT-based pest detection system using sound analytics in large agricultural field,
A hybrid crypto-compression model for secure brain mri image transmission
+93 more
Affiliated with 6
Occupation 2
Employer 1
Instance of 1
Residence 1
Sex or gender 1
Press Enter · cited answer in seconds