Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Sai Mounika Errapotu"'
Publikováno v:
IEEE Transactions on Big Data. 8:1107-1117
With the wide range application of machine learning in healthcare for helping humans drive crucial decisions, data privacy becomes an inevitable concern due to the utilization of sensitive data such as patients records and registers of a company. Thu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7fd148860b710f6358b577e6f5816bc
https://doi.org/10.1109/tbdata.2020.2997732
https://doi.org/10.1109/tbdata.2020.2997732
Publikováno v:
IEEE Internet of Things Journal. 6:7681-7692
The transportation network company (TNC) services efficiently pair the passengers with the vehicles/drivers through mobile applications, such as Uber, Lyft, Didi, etc. TNC services definitely facilitate the traveling of passengers, while it is equall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44b7739e3a6eec898f5e9f9d3132cbfa
https://doi.org/10.1109/jiot.2019.2902815
https://doi.org/10.1109/jiot.2019.2902815
Publikováno v:
IEEE Internet of Things Journal. 5:4380-4391
Smart homes (SHs) aim at forming an energy optimized environment that can efficiently regulate the use of various Internet of Things (IoT) devices in its network. Real-time electricity pricing models along with SHs provide users an opportunity to red
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa6cb3a87472ecf43c20f3a2774820ff
https://doi.org/10.1109/jiot.2018.2866998
https://doi.org/10.1109/jiot.2018.2866998
Publikováno v:
IEEE Transactions on Vehicular Technology. 67:8336-8347
Spectrum trading with secondary users (SUs) for monetary gains improves the inefficient spectrum utilization of primary users (PUs) in the cognitive radio networks (CRNs). It is an efficient way of dynamic spectrum sharing that enhances accessing opp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e44db510b8391c271098b9c790d29eed
https://doi.org/10.1109/tvt.2018.2845798
https://doi.org/10.1109/tvt.2018.2845798
Publikováno v:
GLOBECOM
In recent years, generative adversarial network (GAN) has attracted great attention due to its impressive performance and potential numerous applications, such as data augmentation, real-like image synthesis, image compression improvement, etc. The g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::31ba269064d05879dce6af1639bcb431
https://doi.org/10.1109/globecom38437.2019.9014134
https://doi.org/10.1109/globecom38437.2019.9014134
Publikováno v:
IEEE Transactions on Wireless Communications. 17:3794-3806
Spectrum trading creates more accessing opportunities for secondary users (SUs), and economically benefits the primary users (PUs). Compared with centralized spectrum trading designs, e.g., spectrum auction, distributed spectrum trading captures inst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58f4827918515eed290ef99b937353e5
https://doi.org/10.1109/twc.2018.2816064
https://doi.org/10.1109/twc.2018.2816064
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking. 4:357-367
Recently opened spectrum within 3550–3700 MHz provides more accessing opportunities to secondary users (SUs), while it also raises concerns on the operational privacy of primary users (PUs), especially for military and government. In this paper, we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87986a6e70e5c91f95d5710f1d1a6aa9
https://doi.org/10.1109/tccn.2018.2837876
https://doi.org/10.1109/tccn.2018.2837876
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030372279
SecureComm (1)
SecureComm (1)
While embracing various machine learning techniques to make effective decisions in the big data era, preserving the privacy of sensitive data poses significant challenges. In this paper, we develop a privacy-preserving distributed machine learning al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78b24fa77fe2aab1671007c88406ad55
https://doi.org/10.1007/978-3-030-37228-6_13
https://doi.org/10.1007/978-3-030-37228-6_13
Publikováno v:
SpringerBriefs in Electrical and Computer Engineering ISBN: 9783030133696
Smart meters migrate conventional electricity grid into digitally enabled SG, which is more reliable and efficient. Fine-grained energy consumption data collected by smart meters helps utility providers accurately predict users’ demands and signifi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a3f361e68a69bbd379b907eb501fd1
https://doi.org/10.1007/978-3-030-13370-2_4
https://doi.org/10.1007/978-3-030-13370-2_4
Publikováno v:
SpringerBriefs in Electrical and Computer Engineering ISBN: 9783030133696
Data centers are key participants in emergency demand response (EDR), where the grid coordinates large electricity consumers for reducing their consumption during emergency situations to prevent major economic losses. While existing literature concen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5167012e29564645ac0f4295a79472b8
https://doi.org/10.1007/978-3-030-13370-2_6
https://doi.org/10.1007/978-3-030-13370-2_6