Zobrazeno 1 - 10
of 175
pro vyhledávání: '"R. Arun Prakash"'
As machine learning models become increasingly prevalent in critical decision-making models and systems in fields like finance, healthcare, etc., ensuring their robustness against adversarial attacks and changes in the input data is paramount, especi
Externí odkaz:
http://arxiv.org/abs/2408.01300
Autor:
Srivastava, Akash, Bansal, Yamini, Ding, Yukun, Hurwitz, Cole Lincoln, Xu, Kai, Egger, Bernhard, Sattigeri, Prasanna, Tenenbaum, Joshua B., Le, Phuong, R, Arun Prakash, Zhou, Nengfeng, Vaughan, Joel, Wang, Yaquan, Bhattacharyya, Anwesha, Greenewald, Kristjan, Cox, David D., Gutfreund, Dan
Current autoencoder-based disentangled representation learning methods achieve disentanglement by penalizing the (aggregate) posterior to encourage statistical independence of the latent factors. This approach introduces a trade-off between disentang
Externí odkaz:
http://arxiv.org/abs/2010.13187
Autor:
M. Suganthi, R. Arun Prakash
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 44:3877-3890
Everything becomes smart in the modern era, for everything we need a better plan or arrangements. In the olden days, essential information was noted as a document with the help of paper and pen or printed texts. But the intelligent world needs a pape
Autor:
P. Nalayini, R. Arun Prakash
Publikováno v:
Computer Systems Science and Engineering. 44:2033-2047
Autor:
Bourchak, Mostefa, Ajaj, Rafic, Khalid, Mahmoud, Juhany, Khalid A., V. R., Arun Prakash, Alshahrani, Hassan
Publikováno v:
Journal of Vinyl & Additive Technology; May2023, Vol. 29 Issue 3, p448-457, 10p
Publikováno v:
Silicon. 14:3795-3808
Publikováno v:
Journal of Materials Science: Materials in Electronics. 33:934-949
Publikováno v:
Polymer Composites. 43:493-502
Autor:
K., Pratheesh1 (AUTHOR) kpratheeshmce@rediffmail.com, S. V., Gurupranes2 (AUTHOR), Kumar, Aditya3 (AUTHOR), P. Patil, Pravin4 (AUTHOR)
Publikováno v:
Polymer Composites. Jun2023, Vol. 44 Issue 6, p3469-3476. 8p.
Publikováno v:
Transactions on Electrical and Electronic Materials. 22:794-802
Natural fibre based sandwich composite wave absorbing structures were prepared and characterized for stealth and radome applications. The principal aim of this research was to develop a novel sandwich radar wave absorbing composite structure and eval