Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Astefanoaei, Maria"'
Autor:
Schrader, Maxwell, Kumar, Navish, Sørig, Esben, Yoon, Soonmyeong, Srivastava, Akash, Xu, Kai, Astefanoaei, Maria, Collignon, Nicolas
Light goods vehicles (LGV) used extensively in the last mile of delivery are one of the leading polluters in cities. Cargo-bike logistics and Light Electric Vehicles (LEVs) have been put forward as a high impact candidate for replacing LGVs. Studies
Externí odkaz:
http://arxiv.org/abs/2409.06730
Autor:
Schrader, Max, Kumar, Navish, Collignon, Nicolas, Sørig, Esben, Yoon, Soonmyeong, Srivastava, Akash, Xu, Kai, Astefanoaei, Maria
Publikováno v:
NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning
Light goods vehicles (LGV) used extensively in the last mile of delivery are one of the leading polluters in cities. Cargo-bike logistics has been put forward as a high impact candidate for replacing LGVs, with experts estimating over half of urban v
Externí odkaz:
http://arxiv.org/abs/2301.12887
Autor:
Rozemberczki, Benedek, Scherer, Paul, He, Yixuan, Panagopoulos, George, Riedel, Alexander, Astefanoaei, Maria, Kiss, Oliver, Beres, Ferenc, López, Guzmán, Collignon, Nicolas, Sarkar, Rik
We present PyTorch Geometric Temporal a deep learning framework combining state-of-the-art machine learning algorithms for neural spatiotemporal signal processing. The main goal of the library is to make temporal geometric deep learning available for
Externí odkaz:
http://arxiv.org/abs/2104.07788
Autor:
Astefanoaei, Maria
Data from the numerous mobile devices, location-based applications, and collection sensors used currently can provide important insights about human and natural processes. These insights can inform decision making in designing and optimising in frast
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a64244da531f9b53066b74e0ba8ba3a1
Publikováno v:
21st SIGSPATIAL International Conference on Advances in Geographic Information Systems; 11/6/2018, p279-288, 10p
