Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Vinayak Gokhale"'
Autor:
Milind Vinayak Gokhale
Publikováno v:
International Journal of Economics and Management Studies. 8:66-72
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d917a45d1993f6e51998fae9d35d3afc
https://doi.org/10.14445/23939125/ijems-v8i2p109
https://doi.org/10.14445/23939125/ijems-v8i2p109
Publikováno v:
American Journal of Case Reports. 23
BACKGROUND SARS-CoV-2 infection presents with a variety of clinical manifestations, from asymptomatic courses to prolonged hospitalizations with severe systemic inflammatory responses and multiorgan failure. One particular sequela of the disease that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3ea955ca5b1c6a417e02d5cc09e8d1a
https://doi.org/10.12659/ajcr.936028
https://doi.org/10.12659/ajcr.936028
Publikováno v:
2018 1st Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2).
Deep Neural Networks (DNNs) are the current state of the art for various tasks such as object detection, natural language processing and semantic segmentation. These networks are massively parallel, hierarchical models with each level of hierarchy pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a930d88fcdbde67fc2e858a7995dbd90
https://doi.org/10.1109/emc2.2018.00010
https://doi.org/10.1109/emc2.2018.00010
Publikováno v:
ISCAS
Deep learning is becoming increasingly popular for a wide variety of applications including object detection, classification, semantic segmentation and natural language processing. Convolutional neural networks (CNNs) are a type of deep neural networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9250349fbbac39b1ff54e6108ef906c4
https://doi.org/10.1109/iscas.2017.8050809
https://doi.org/10.1109/iscas.2017.8050809
Publikováno v:
HPEC
In this paper, we present a memory access optimized routing scheme for a hardware accelerated real-time implementation of deep convolutional neural networks (DCNNs) on a mobile platform. DCNNs consist of multiple layers of 3D convolutions, each compr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db659aa1b483e313f9a1330d37b8832e
https://doi.org/10.1109/hpec.2014.7040963
https://doi.org/10.1109/hpec.2014.7040963
Publikováno v:
CVPR Workshops
Deep networks are state-of-the-art models used for understanding the content of images, videos, audio and raw input data. Current computing systems are not able to run deep network models in real-time with low power consumption. In this paper we pres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::923fb18de36678fb0dc6a2efee90f0cd
https://doi.org/10.1109/cvprw.2014.106
https://doi.org/10.1109/cvprw.2014.106