Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Hayden Andersen"'
Publikováno v:
Journal of Transport and Land Use, Vol 16, Iss 1 (2023)
During the COVID pandemic, at least 97 US cities closed downtown streets to vehicles to create commercial pedestrian streets with the goal of encouraging active travel and economic activity at safe social distances. This study addressed three questio
Externí odkaz:
https://doaj.org/article/8d4902ffc91e41ff8c28755f510fea75
Publikováno v:
2022 IEEE Congress on Evolutionary Computation (CEC).
No description supplied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34b93d14b94f83793b429a68a76fb66e
https://doi.org/10.1109/cec55065.2022.9870283
https://doi.org/10.1109/cec55065.2022.9870283
No description supplied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::898bcac1542484d7b121f48bab39d5f7
Publikováno v:
CEC
Convolutional Neural Networks (CNNs) have been well-known for their promising performance in text classification and sentiment analysis because they can preserve the 1D spatial orientation of a document, where the sequence of words is essential. Howe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f6705cb2715fe6fb8126389d09a4cad
https://doi.org/10.1109/cec45853.2021.9504920
https://doi.org/10.1109/cec45853.2021.9504920
Publikováno v:
CEC
Clustering is the process of grouping related instances of unlabelled data into distinct subsets called clusters. While there are many different clustering methods available, almost all of them use simple distance-based (dis)similarity functions such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5393a26de4537f819c8cb9b0953ff59
https://doi.org/10.1109/cec45853.2021.9504855
https://doi.org/10.1109/cec45853.2021.9504855
Publikováno v:
GECCO Companion
Convolutional Neural Networks (CNNs) have shown themselves in recent years to be strong contenders for text classification and sentiment analysis, achieving high accuracies challenging other state of the art methods. However, their architectures need
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37e462bc5ece83cdf9e1042f261799c6
https://doi.org/10.1145/3377929.3390068
https://doi.org/10.1145/3377929.3390068