Predicting the next location for trajectories from stolen vehicles

Autor: Jose S. Da Silva Neto, Ticiana L. Coelho Da Silva, Livia Almada Cruz, Vinicius Monteiro de Lira, Jose Antonio F. de Macedo, Regis Pires Magalhaes, Lucas Gaspar Peres

Publikováno v: ICTAI 2021-IEEE 33rd International Conference on Tools with Artificial Intelligence, Washington, DC, USA, 1-3/11/2021
info:cnr-pdr/source/autori:Da Silva Neto J.S.; Coelho Da Silva T.L.; Cruz L.A.; Monteiro de Lira V.; José Antônio F. de Macêdo José A.F.; Magalh R.P./congresso_nome:ICTAI 2021-IEEE 33rd International Conference on Tools with Artificial Intelligence/congresso_luogo:Washington, DC, USA/congresso_data:1-3%2F11%2F2021/anno:2021/pagina_da:/pagina_a:/intervallo_pagine

Neural Networks (NN), although successfully applied to several Artificial Intelligence tasks, are often unnecessarily over-parametrized. In edge/fog computing, this might make their training prohibitive on resource-constrained devices, contrasting wi

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https://openportal.isti.cnr.it/doc?id=people______::29c61ca9414d22fd89461c13f28a8556