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pro vyhledávání: '"Daniel Klosa"'
Autor:
Daniel Klosa, Christof Büskens
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 5, Iss 3, Pp 830-846 (2023)
Traffic forecasting is an important task for transportation engineering as it helps authorities to plan and control traffic flow, detect congestion, and reduce environmental impact. Deep learning techniques have gained traction in handling such compl
Externí odkaz:
https://doaj.org/article/3ef3d69f50414438bb3b759715ee7731
Autor:
Daniel Klosa, Christof Büskens
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Publikováno v:
2022 IEEE International Smart Cities Conference (ISC2).
Publikováno v:
2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, Cloud & Big Data Systems & Application (HPCC/DSS/SmartCity/DependSys).
Publikováno v:
Sustainability; Volume 14; Issue 18; Pages: 11232
Data-driven models have recently proved to be a very powerful tool to extract relevant information from different kinds of datasets. However, datasets are often subject to multiple anomalies, including the loss of important parts of entries. In the c