Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Shraddha M Naik"'
Autor:
Tanujit Chakraborty, Ujjwal Reddy K S, Shraddha M Naik, Madhurima Panja, Bayapureddy Manvitha
Publikováno v:
Machine Learning: Science and Technology, Vol 5, Iss 1, p 011001 (2024)
Generative adversarial networks (GANs) have rapidly emerged as powerful tools for generating realistic and diverse data across various domains, including computer vision and other applied areas, since their inception in 2014. Consisting of a discrimi
Externí odkaz:
https://doaj.org/article/45920db7d3a64d60b3afde6ca891b7d5
Autor:
Barathi Subramanian, Bekhzod Olimov, Shraddha M. Naik, Sangchul Kim, Kil-Houm Park, Jeonghong Kim
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract Sign language recognition is challenged by problems, such as accurate tracking of hand gestures, occlusion of hands, and high computational cost. Recently, it has benefited from advancements in deep learning techniques. However, these larger
Externí odkaz:
https://doaj.org/article/2d99b5e89c1e4a6d918b8f4a609f8062
Publikováno v:
Results in Physics, Vol 13, Iss , Pp - (2019)
Extreme Learning Machine (ELM) is a single hidden layer feed-forward neural network with the learning speed is much faster than the traditional neural network architecture. The main reason is attributed to the application of slow gradient-based algor
Externí odkaz:
https://doaj.org/article/fd2cbf3f5ac14a16afbb2b070bee9cf2
Autor:
P. T. Manjunatha, R. Naveen Kumar, Ali J. Chamkha, B. C. Prasannakumara, R. J. Punith Gowda, Shraddha M. Naik
Publikováno v:
Journal of Nanofluids. 10:285-291
The applications of fluid flow with Newtonian heating effect include conjugate heat conveyance around fins, petroleum industry, and heat exchangers designing. Motivated from these applications, an attempt has been made to analyze the stream of viscou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87184ab9757abb63599baf71a1f1eaab
https://doi.org/10.1166/jon.2021.1786
https://doi.org/10.1166/jon.2021.1786
Publikováno v:
SoftwareX. 21:101308
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::626234ccb2dc83ff08b5e38eea4c999d
https://doi.org/10.1016/j.softx.2023.101308
https://doi.org/10.1016/j.softx.2023.101308
Publikováno v:
Arabian Journal for Science and Engineering. 45:2945-2955
The probabilistic neural network (PNN) is an efficient approach that can compute nonlinear decision boundaries, widely used for classification. In this paper, the often used Gaussian distribution function is replaced by a new probability density func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3869bc7cdfdaa9bd4ba5ead473b1a081
https://doi.org/10.1007/s13369-019-04227-5
https://doi.org/10.1007/s13369-019-04227-5
Publikováno v:
Neural Computing and Applications. 32:1157-1171
Probabilistic neural network (PNN) is a single-pass feed-forward neural network with the capability of providing nonlinear decision boundaries. In this work, we propose the modifications to the existing PNN approach. Contributions are threefold: Firs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::379327ccb77fa2f945b6899e778aefa9
https://doi.org/10.1007/s00521-019-04475-4
https://doi.org/10.1007/s00521-019-04475-4
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 551:124034
Extreme learning machine (ELM) is a single-hidden-layer feed-forward neural network in which the input weights linking the input layer to the hidden layer are randomly chosen. The output weights which link the hidden layer to the output layer are ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d32c93d507c567c8ce863b2554555c9
https://doi.org/10.1016/j.physa.2019.124034
https://doi.org/10.1016/j.physa.2019.124034
Publikováno v:
ICCCNT
A new variant of Generalized Classifier Neural Network (GCNN) is proposed. The traditional GCNN uses Gaussian RBF kernel where appropriate smoothing parameter is estimated using gradient descent based optimization. In this work, the Gaussian RBF kern
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::51ad5f4ed3e87e322af88eced26264d3
https://doi.org/10.1109/icccnt.2018.8494187
https://doi.org/10.1109/icccnt.2018.8494187
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 30:013106
Extreme learning machine (ELM) is an emerging learning method with a single-hidden layer feed-forward neural network that involves obtaining a solution to the system of linear equations. Unlike traditional gradient-based back-propagating neural netwo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::30d71b5a85fba9f8e331d222da4f3cdb
https://doi.org/10.1063/1.5097747
https://doi.org/10.1063/1.5097747