Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Rajesh Bharati"'
Publikováno v:
e-Prime: Advances in Electrical Engineering, Electronics and Energy, Vol 8, Iss , Pp 100628- (2024)
Smart metering in electricity power grid is an optimistic trend at global level. All smart devices and appliances based on Internet of Things (IoT) are now playing very significant role in household. These days’ electric power usage mining and opti
Externí odkaz:
https://doaj.org/article/935f75c3031c4dc6ae2cd1ec05b71d74
Autor:
Rahul Kumar Singh, Rajesh Bharati
Publikováno v:
International Journal for Research in Applied Science and Engineering Technology. 11:1857-1861
Fake news has been a problem since the internet boom. Websites that keep us up to date with what's going on in the world are the perfect breeding ground for bad news and fake news. Fighting fake news is important because the world is knowledge-based.
Autor:
Rajesh Bharati, Vahida Attar
Publikováno v:
Intelligent Automation & Soft Computing. 37:763-775
Publikováno v:
IJARCCE. 6:467-470
Autor:
Rajesh Bharati, Ahmed Qasim Mohammed
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811055195
As there was a big rise in the Big Data field, Hadoop became one of the most used platforms in many applications like clinical data analysis, Facebook, Amazon, in which Big Data processing and utilization is required. One of the most important featur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82413adf38a092e6b0d6de442ed92954
https://doi.org/10.1007/978-981-10-5520-1_32
https://doi.org/10.1007/978-981-10-5520-1_32
An efficient technique to improve resources utilization for hadoop MapReduce in heterogeneous system
Autor:
Ahmed Qasim Mohammed, Rajesh Bharati
Publikováno v:
2017 International Conference on Intelligent Communication and Computational Techniques (ICCT).
Oughties witness releasing one of the most reputed platform for processing and storing BigData which known by a strange name is Hadoop, mainly Hadoop consist of two main application MapReduce for processing data and Hadoop Distributed File System (HD