Zobrazeno 1 - 10
of 1 261
pro vyhledávání: '"A. Suel"'
Autor:
Sharma, Makkunda, Yang, Fan, Vo, Duy-Nhat, Suel, Esra, Mishra, Swapnil, Bhatt, Samir, Fiala, Oliver, Rudgard, William, Flaxman, Seth
Satellite imagery has emerged as an important tool to analyse demographic, health, and development indicators. While various deep learning models have been built for these tasks, each is specific to a particular problem, with few standard benchmarks
Externí odkaz:
http://arxiv.org/abs/2407.05986
There has been significant recent interest in graph-based nearest neighbor search methods, many of which are centered on the construction of navigable graphs over high-dimensional point sets. A graph is navigable if we can successfully move from any
Externí odkaz:
http://arxiv.org/abs/2405.18680
A lot of recent work has focused on sparse learned indexes that use deep neural architectures to significantly improve retrieval quality while keeping the efficiency benefits of the inverted index. While such sparse learned structures achieve effecti
Externí odkaz:
http://arxiv.org/abs/2405.17093
Learned sparse retrieval systems aim to combine the effectiveness of contextualized language models with the scalability of conventional data structures such as inverted indexes. Nevertheless, the indexes generated by these systems exhibit significan
Externí odkaz:
http://arxiv.org/abs/2405.01117
The proliferation of car sharing services in recent years presents a promising avenue for advancing sustainable transportation. Beyond merely reducing car ownership rates, these systems can play a pivotal role in bolstering grid stability through the
Externí odkaz:
http://arxiv.org/abs/2311.07349
Autor:
Stalder, Steven, Volpi, Michele, Büttner, Nicolas, Law, Stephen, Harttgen, Kenneth, Suel, Esra
Publikováno v:
Computers, Environment and Urban Systems 112 (2024) 102156
Cities around the world face a critical shortage of affordable and decent housing. Despite its critical importance for policy, our ability to effectively monitor and track progress in urban housing is limited. Deep learning-based computer vision meth
Externí odkaz:
http://arxiv.org/abs/2309.11354
Autor:
Ai Vu Hong, Laurence Suel, Eva Petat, Auriane Dubois, Pierre-Romain Le Brun, Nicolas Guerchet, Philippe Veron, Jérôme Poupiot, Isabelle Richard
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-20 (2024)
Abstract Current adeno-associated virus (AAV) gene therapy using nature-derived AAVs is limited by non-optimal tissue targeting. In the treatment of muscular diseases (MD), high doses are often required but can lead to severe adverse effects. Here, w
Externí odkaz:
https://doaj.org/article/2e8bc0e4254344a1a716b976440ae501
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-9 (2024)
Abstract Background Red pepper paste is a common ingredient used in food in Korea. The discrimination of the geographical origin of agricultural products is important to protect the agricultural industry and customers from the misinformation regardin
Externí odkaz:
https://doaj.org/article/12a0c8c57bab4c3194800223fd907fcd
Deploying real-time control on large-scale fleets of electric vehicles (EVs) is becoming pivotal as the share of EVs over internal combustion engine vehicles increases. In this paper, we present a Vehicle-to-Grid (V2G) algorithm to simultaneously sch
Externí odkaz:
http://arxiv.org/abs/2210.07756
Publikováno v:
Chemical and Biological Technologies in Agriculture, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Background White standard Dendranthema grandiflorum (D. grandiflorum) is widely used for ornamental purposes. The volatile organic components (VOCs) of D. grandiflorum vary depending on the geographical origin and cultivar, which influence t
Externí odkaz:
https://doaj.org/article/329889d38e5e44e4bee72cedd828a4dc