Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jayadev Gyani"'
Autor:
Mohd Anul Haq, Ahsan Ahmed, Ilyas Khan, Jayadev Gyani, Abdullah Mohamed, El-Awady Attia, Pandian Mangan, Dinagarapandi Pandi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-16 (2022)
Abstract The main goal of this research paper is to apply a deep neural network model for time series forecasting of environmental variables. Accurate forecasting of snow cover and NDVI are important issues for the reliable and efficient hydrological
Externí odkaz:
https://doaj.org/article/3cea9025564d4b7ca4c87960810ac588
Publikováno v:
IEEE Access, Vol 10, Pp 33492-33511 (2022)
Availability and diversity of cloud service providers (CSPs) had put the users into confusion for its selection of the appropriate service providers. Some cloud service providers are good at some services while others are good at offering other servi
Externí odkaz:
https://doaj.org/article/b27887f9e3a74a0f80db69496158a0c0
Publikováno v:
Symmetry, Vol 12, Iss 3, p 407 (2020)
Software defect prediction (SDP) is the technique used to predict the occurrences of defects in the early stages of software development process. Early prediction of defects will reduce the overall cost of software and also increase its reliability.
Externí odkaz:
https://doaj.org/article/7dc5c995ee694c90921c86ace8ad1c0d
Publikováno v:
Sustainability; Volume 15; Issue 13; Pages: 9881
Traffic management and control applications require comprehensive knowledge of traffic flow data. Typically, such information is gathered using traffic sensors, which have two basic challenges: First, it is impractical or impossible to install sensor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::6d1f5d5df023963958a7c473d8557a0a
Publikováno v:
Indian Journal of Computer Science and Engineering. 13:869-884
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e8b555a550218c5098c612b11edfaa3
https://doi.org/10.21817/indjcse/2022/v13i3/221303151
https://doi.org/10.21817/indjcse/2022/v13i3/221303151
Publikováno v:
IEEE Access. 10:33492-33511
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1fd8a5d029c6528d2941452878aa2b2f
https://doi.org/10.1109/access.2022.3161742
https://doi.org/10.1109/access.2022.3161742
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030847593
The world is full of data and day by day this is growing in an exponential manner. To deal with this data and extract useful information from it, a very effective field has been evolved called big data mining. The actual work of this process is to fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34fc8422ac5175b1e2b30b40c930c1c1
https://doi.org/10.1007/978-3-030-84760-9_7
https://doi.org/10.1007/978-3-030-84760-9_7
Publikováno v:
Water, Vol 13, Iss 1251, p 1251 (2021)
Water
Volume 13
Issue 9
Water
Volume 13
Issue 9
Water is an essential resource that facilitates the existence of human life forms. In recent years, the demand for the consumption of freshwater has substantially increased. Seawater contains a high concentration of salt particles and salinity, makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::747c0c63434e60b3defd188269bd6df4
https://www.mdpi.com/2073-4441/13/9/1251
https://www.mdpi.com/2073-4441/13/9/1251
Autor:
Jayadev Gyani, Raghuram Bhukya
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811514197
In the current trend of data science research lot of works concentrated over scaling conventional data classification algorithms towards handling massive datasets referred as Big data. The standard of classification algorithms evaluated based on thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5933b1972579e8546df55cb75585a96a
https://doi.org/10.1007/978-981-15-1420-3_43
https://doi.org/10.1007/978-981-15-1420-3_43
Autor:
Jayadev Gyani, Raghuram Bhukya
Publikováno v:
International Journal of Database Theory and Application. 11:9-20
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::faf51d94cb7cfc7f79d06297ef2cb90c
https://doi.org/10.14257/ijdta.2018.11.1.02
https://doi.org/10.14257/ijdta.2018.11.1.02