Shraddha M. Naik - Concepedia

Author

Shraddha M. Naik

National Institute of Technology Goa ORCID

Also Known As

Naik, Shraddha M., Shraddha M Naik, Shraddha M. Naik, Shraddha Naik

Publications

374

Citations

H-Index

Concepts

All Affiliations

National Institute of Technology Goa Vellore Institute of Technology University

About

Shraddha M. Naik is an author at National Institute of Technology Goa specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	4	4	199
2	Computer Science	3	3	163
3	Data Science	2	2	149
4	Mechanical Engineering	1	1	36
5	Artificial Intelligence	1	1	136

Shraddha M. Naik

Publications

320

Citations

H-Index

Page 1

	Year	Citations
Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M. Naik, Machine Learning Science and Technology Artificial IntelligenceGenerative Artificial IntelligenceMachine VisionMachine LearningData Science	2024	136
An integrated mediapipe-optimized GRU model for Indian sign language recognition Barathi Subramanian, Bekhzod Olimov, Shraddha M. Naik, Scientific Reports	2022	111
Significance of Stefan Blowing and Convective Heat Transfer in Nanofluid Flow Over a Curved Stretching Sheet with Chemical Reaction P. T. Manjunatha, Ali J. Chamkha, R. J. Punith Gowda, Journal of Nanofluids EngineeringFluid MechanicsMechanical EngineeringConvective Heat TransferCurved Stretching Sheet	2021	36
Bat algorithm-based weighted Laplacian probabilistic neural network Shraddha M. Naik, Ravi Prasad K. Jagannath, Venkatnareshbabu Kuppili Neural Computing and Applications Evolving Neural NetworkEngineeringMachine LearningIntelligent OptimizationComputer Science	2019	14
Fractional Tikhonov regularization to improve the performance of extreme learning machines Shraddha M. Naik, Ravi Prasad K. Jagannath, Venkatanareshbabu Kuppili Physica A Statistical Mechanics and its Applications EngineeringMachine LearningData ScienceExtreme Learning MachinePattern Recognition	2020	13
Iterative minimal residual method provides optimal regularization parameter for extreme learning machines Shraddha M. Naik, Ravi Prasad K. Jagannath, Venkatanareshbabu Kuppili Results in Physics	2019	10

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