Zobrazeno 1 - 8
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pro vyhledávání: '"Anubhuti Garg"'
Autor:
Amiya Nayak, Anubhuti Garg
Publikováno v:
FNC/MobiSPC
The focus of this paper is on participatory sensing in which every participant carrying smartphone senses its environment and shares it with server. Most of the applications require location information to perform sensing activity. But, GPS drains co
Publikováno v:
Information Sciences. 324:146-162
We propose an efficient algorithm that can compute skyline probability exactly for reasonably large database.We introduce the concept of zero-contributing set which has zero effect in the signed aggregate of joint probabilities.We propose an incremen
Publikováno v:
CITS
The focus of this paper is on detecting overlapping communities for the directed graphs by implementing a new algorithm and analyzing it with various performance metrics. The algorithm aims at finding core nodes for the directed graph which are subse
Autor:
Amiya Nayak, Anubhuti Garg
Publikováno v:
PerCom Workshops
Mobile phones are equipped with a rich set of sensors which are useful in deploying various sensing activities. We focus on participatory sensing in which every participant carrying smartphone senses its environment and shares it with server. Most of
Autor:
Amiya Nayak, Anubhuti Garg
Publikováno v:
WINSYS
Publikováno v:
Proceedings of the International Congress on Information and Communication Technology ISBN: 9789811007668
Software maintenance is a daunting task but equally crucial for an aging software. Software maintainability is one of the important quality aspects, which is directly affected by code smells. Software maintenance requires considerable amount of budge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0015a53fde12af367762254eb283df9d
https://doi.org/10.1007/978-981-10-0767-5_5
https://doi.org/10.1007/978-981-10-0767-5_5
Publikováno v:
Algorithms and Discrete Applied Mathematics ISBN: 9783319149738
CALDAM
CALDAM
Computing the skyline probability of an object for a database, wherein the probability of preferences between pairs of data objects are uncertain, requires computing the probability of union of events from the probabilities of all possible joint prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ef48dcc060875d33f52b7d7b2e0886d
https://doi.org/10.1007/978-3-319-14974-5_24
https://doi.org/10.1007/978-3-319-14974-5_24