Zobrazeno 1 - 10
of 1 266
pro vyhledávání: '"C. Krishna"'
Publikováno v:
Sensors, Vol 23, Iss 21, p 8901 (2023)
Human gesture detection, obstacle detection, collision avoidance, parking aids, automotive driving, medical, meteorological, industrial, agriculture, defense, space, and other relevant fields have all benefited from recent advancements in mmWave rada
Externí odkaz:
https://doaj.org/article/2a605891bb0643e480803c1d6003379d
Computing the loss gradient via backpropagation consumes considerable energy during deep learning (DL) model training. In this paper, we propose a novel approach to efficiently compute DL models' gradients to mitigate the substantial energy overhead
Externí odkaz:
http://arxiv.org/abs/2406.07332
Federated Learning (FL) is a collaborative learning paradigm enabling participants to collectively train a shared machine learning model while preserving the privacy of their sensitive data. Nevertheless, the inherent decentralized and data-opaque ch
Externí odkaz:
http://arxiv.org/abs/2404.04139
In federated learning (FL), the significant communication overhead due to the slow convergence speed of training the global model poses a great challenge. Specifically, a large number of communication rounds are required to achieve the convergence in
Externí odkaz:
http://arxiv.org/abs/2403.11041
Autor:
Dayal, Aveen, B., Vimal K., Cenkeramaddi, Linga Reddy, Mohan, C. Krishna, Kumar, Abhinav, Balasubramanian, Vineeth N
Domain Generalization (DG) techniques have emerged as a popular approach to address the challenges of domain shift in Deep Learning (DL), with the goal of generalizing well to the target domain unseen during the training. In recent years, numerous me
Externí odkaz:
http://arxiv.org/abs/2311.08503
Publikováno v:
Heliyon, Vol 4, Iss 3, Pp e00555- (2018)
Different concentrations of Dy3+ ions doped lithium zinc borosilicate glasses of chemical composition (30-x) B2O3 - 25 SiO2 -10 Al2O3 -30 LiF - 5 ZnO - x Dy2O3 (x = 0, 0.1, 0.5, 1.0 and 2.0 mol%) were prepared by the melt quenching technique. The pre
Externí odkaz:
https://doaj.org/article/3726b73ce4074004a6cd028e6e883678
Publikováno v:
Journal of Clinical and Scientific Research, Vol 2, Iss 3, Pp 169-173 (2013)
Fungal peritonitis is an uncommon condition which is associated with high morbidity and mortality in patients on continuous ambulatory peritoneal dialysis (CAPD). It is associated with several complications and many of the patients who develop this
Externí odkaz:
https://doaj.org/article/069089a411ad4457a45ecaa027bde502
Autor:
Makwana, Dhruv, Nag, Subhrajit, Susladkar, Onkar, Deshmukh, Gayatri, R, Sai Chandra Teja, Mittal, Sparsh, Mohan, C Krishna
Publikováno v:
volume 13, pages 865-875, year 2022
We propose a novel deep learning model named ACLNet, for cloud segmentation from ground images. ACLNet uses both deep neural network and machine learning (ML) algorithm to extract complementary features. Specifically, it uses EfficientNet-B0 as the b
Externí odkaz:
http://arxiv.org/abs/2207.06277
Publikováno v:
Volume 142, 2022, 103720, ISSN 0166-3615
As the integration density and design intricacy of semiconductor wafers increase, the magnitude and complexity of defects in them are also on the rise. Since the manual inspection of wafer defects is costly, an automated artificial intelligence (AI)
Externí odkaz:
http://arxiv.org/abs/2207.00960