Zobrazeno 1 - 10
of 158
pro vyhledávání: '"Leitao, Joao P."'
The use of machine learning for time series prediction has become increasingly popular across various industries thanks to the availability of time series data and advancements in machine learning algorithms. However, traditional methods for time ser
Externí odkaz:
http://arxiv.org/abs/2305.19837
Autor:
Russo, Stefania, Perraudin, Nathanaël, Stalder, Steven, Perez-Cruz, Fernando, Leitao, Joao Paulo, Obozinski, Guillaume, Wegner, Jan Dirk
In this technical report we compare different deep learning models for prediction of water depth rasters at high spatial resolution. Efficient, accurate, and fast methods for water depth prediction are nowadays important as urban floods are increasin
Externí odkaz:
http://arxiv.org/abs/2302.10062
Web3 aims at creating a decentralized platform that is competitive with modern cloud infrastructures that support today's Internet. However, Web3 is still limited, supporting only applications in the domains of content creation and sharing, decentral
Externí odkaz:
http://arxiv.org/abs/2212.07375
Prototyping and implementing distributed algorithms, particularly those that address challenges related with fault-tolerance and dependability, is a time consuming task. This is, in part, due to the need of addressing low level aspects such as manage
Externí odkaz:
http://arxiv.org/abs/2205.02106
An increasing number of mobile applications share location-dependent information, from collaborative applications and social networks to location-based games. For such applications, peer-to-peer architectures where mobile devices share information di
Externí odkaz:
http://arxiv.org/abs/2205.01045
Autor:
Peleg, Nadav, Wright, Daniel B., Fowler, Hayley J., Leitão, João P., Sharma, Ashish, Marra, Francesco
Publikováno v:
In Advances in Water Resources November 2024 193
Publikováno v:
In Science of the Total Environment 10 December 2024 955
Publikováno v:
In Journal of Hydrology December 2024 645 Part B
Publikováno v:
In Science of the Total Environment 20 February 2024 912
Autor:
Vale, Tiago M., Leitão, João, Preguiça, Nuno, Rodrigues, Rodrigo, Dias, Ricardo J., Lourenço, João M.
The concurrency control algorithms in transactional systems limits concurrency to provide strong semantics, which leads to poor performance under high contention. As a consequence, many transactional systems eschew strong semantics to achieve accepta
Externí odkaz:
http://arxiv.org/abs/2007.09733