Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Maithree, Hasara"'
Autor:
Perera, Niranda, Kamburugamuve, Supun, Widanage, Chathura, Abeykoon, Vibhatha, Uyar, Ahmet, Shan, Kaiying, Maithree, Hasara, Lenadora, Damitha, Kanewala, Thejaka Amila, Fox, Geoffrey
The data science community today has embraced the concept of Dataframes as the de facto standard for data representation and manipulation. Ease of use, massive operator coverage, and popularization of R and Python languages have heavily influenced th
Externí odkaz:
http://arxiv.org/abs/2209.06146
Autor:
Perera, Niranda, Abeykoon, Vibhatha, Widanage, Chathura, Kamburugamuve, Supun, Kanewala, Thejaka Amila, Wickramasinghe, Pulasthi, Uyar, Ahmet, Maithree, Hasara, Lenadora, Damitha, Fox, Geoffrey
In the current era of Big Data, data engineering has transformed into an essential field of study across many branches of science. Advancements in Artificial Intelligence (AI) have broadened the scope of data engineering and opened up new application
Externí odkaz:
http://arxiv.org/abs/2010.14596
Autor:
Abeykoon, Vibhatha, Perera, Niranda, Widanage, Chathura, Kamburugamuve, Supun, Kanewala, Thejaka Amila, Maithree, Hasara, Wickramasinghe, Pulasthi, Uyar, Ahmet, Fox, Geoffrey
Data engineering is becoming an increasingly important part of scientific discoveries with the adoption of deep learning and machine learning. Data engineering deals with a variety of data formats, storage, data extraction, transformation, and data m
Externí odkaz:
http://arxiv.org/abs/2010.06312
Publikováno v:
AIRCC Publishing Corporation, Volume 10, Number 10, July 2020
Many researches have been carried out for change detection using temporal SAR images. In this paper an algorithm for change detection using SAR videos has been proposed. There are various challenges related to SAR videos such as high level of speckle
Externí odkaz:
http://arxiv.org/abs/2007.14001
Autor:
Widanage, Chathura, Perera, Niranda, Abeykoon, Vibhatha, Kamburugamuve, Supun, Kanewala, Thejaka Amila, Maithree, Hasara, Wickramasinghe, Pulasthi, Uyar, Ahmet, Gunduz, Gurhan, Fox, Geoffrey
The amazing advances being made in the fields of machine and deep learning are a highlight of the Big Data era for both enterprise and research communities. Modern applications require resources beyond a single node's ability to provide. However this
Externí odkaz:
http://arxiv.org/abs/2007.09589