Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Ashish Shenoy"'
Publikováno v:
IEEE Access, Vol 3, Pp 303-322 (2015)
To reduce the complexity associated with application-specific tuning of wireless sensor networks (WSNs), dynamic profiling enables an accurate view of an application's runtime behavior, such that the network can be reoptimized at runtime in response
Externí odkaz:
https://doaj.org/article/6be2ea198b7947e59d2250dd82ae0568
Autor:
Saket Dingliwal, Ashish Shenoy, Sravan Bodapati, Ankur Gandhe, Ravi Teja Gadde, Katrin Kirchhoff
Publikováno v:
Interspeech 2022.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e34fa1e532c6a9ebef0ad20cc6732d35
https://doi.org/10.21437/interspeech.2022-824
https://doi.org/10.21437/interspeech.2022-824
Publikováno v:
Interspeech 2021.
Neural Language Models (NLM), when trained and evaluated with context spanning multiple utterances, have been shown to consistently outperform both conventional n-gram language models and NLMs that use limited context. In this paper, we investigate v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b659faa8af2550bc2f0e4482289a6740
https://doi.org/10.21437/interspeech.2021-1849
https://doi.org/10.21437/interspeech.2021-1849
Autor:
A. Mushfiq Mobarak, Dean Karlan, Johannes Haushofer, Dennis Egger, Macartan Humphreys, Niccolo F. Meriggi, Paula López-Peña, Edward Miguel, Elliott Collins, Susan Athey, Salim Benhachmi, Andrew Wabwire, Shana S. Warren, Carolyn Nekesa, Utz Johann Pape, Tilman Graff, Ashish Shenoy, Layna Lowe, C. Austin Davis, Magdalena Larreboure, Doug Parkerson, Michael Walker, Günther Fink, Christopher Udry, Maarten Voors, Corey Vernot
Publikováno v:
Science Advances 7 (2021) 6
Science Advances
Science advances, vol 7, iss 6
Science Advances, 7(6), 1-13
Science Advances
Science advances, vol 7, iss 6
Science Advances, 7(6), 1-13
Income, employment, and food security fell sharply across low- and middle-income countries during the COVID crisis.
Despite numerous journalistic accounts, systematic quantitative evidence on economic conditions during the ongoing COVID-19 pande
Despite numerous journalistic accounts, systematic quantitative evidence on economic conditions during the ongoing COVID-19 pande
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a28dba82009425020a9ee53f65172bdd
https://research.wur.nl/en/publications/falling-living-standards-during-the-covid-19-crisis-quantitative-
https://research.wur.nl/en/publications/falling-living-standards-during-the-covid-19-crisis-quantitative-
Publikováno v:
Proceedings of The 4th Workshop on e-Commerce and NLP.
Automatic Speech Recognition (ASR) robustness toward slot entities are critical in e-commerce voice assistants that involve monetary transactions and purchases. Along with effective domain adaptation, it is intuitive that cross utterance contextual c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d31a34594cbd2188b077486cf0fb4d7c
https://doi.org/10.18653/v1/2021.ecnlp-1.3
https://doi.org/10.18653/v1/2021.ecnlp-1.3
Autor:
C. A. Davis, Paula López-Peña, Ahmed Mushfiq Mobarak, H. Mitchell, Ashish Shenoy, K. Naguib, M. Emyreimao, Corey Vernot, N. Barker
Publikováno v:
WIDER Working Paper ISBN: 9789292568962
WIDER Working Paper
WIDER Working Paper
Using detailed microdata, we document how migration-dependent households are especially vulnerable during the COVID-19 pandemic. We create pre- and post-COVID panel datasets for three populations in Bangladesh and Nepal, leveraging experimental and o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a0e355a167170220d9be61d887d056f
https://doi.org/10.35188/unu-wider/2020/896-2
https://doi.org/10.35188/unu-wider/2020/896-2
Publikováno v:
IEEE Access, Vol 3, Pp 303-322 (2015)
To reduce the complexity associated with application-specific tuning of wireless sensor networks (WSNs), dynamic profiling enables an accurate view of an application’s runtime behavior, such that the network can be reoptimized at runtime in respons
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4aa33f364422cdd9b93b4980636b1b7a
https://ieeexplore.ieee.org/document/7086003/
https://ieeexplore.ieee.org/document/7086003/
Publikováno v:
IEEE Embedded Systems Letters. 2:10-13
To reduce the complexity associated with application-specific tuning of sensor-based systems, dynamic profiling enables an accurate view of the application behavior, such that the network can be reoptimized at runtime in response to changing applicat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad085a934d5a6994d9dc73de746a0c65
https://doi.org/10.1109/les.2010.2045634
https://doi.org/10.1109/les.2010.2045634
Publikováno v:
SUTC/UMC
As sensor networks are finding widespread use across many applications, designers increasingly must not only focus on application development, but also on sensor network optimizations. Given the complexities of sensor networks and the difficulty of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd64f2fe6e119b1a7bf94b41e3ef7df0
https://doi.org/10.1109/sutc.2010.16
https://doi.org/10.1109/sutc.2010.16