Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Grzenda, Maciej"'
Demand for sustainable mobility is particularly high in urban areas. Hence, there is a growing need to predict when people will decide to use different travel modes with an emphasis on environmentally friendly travel modes. As travel mode choice (TMC
Externí odkaz:
http://arxiv.org/abs/2407.12137
Publikováno v:
Advances in Intelligent Data Analysis XXII, IDA 2024, LNCS, vol 14641, (2024), 191-202
Travel mode choice (TMC) prediction, which can be formulated as a classification task, helps in understanding what makes citizens choose different modes of transport for individual trips. This is also a major step towards fostering sustainable transp
Externí odkaz:
http://arxiv.org/abs/2404.14017
Publikováno v:
Computational Science - ICCS 2022. ICCS 2022. Lecture Notes in Computer Science vol 13353 (2022) 486-499
Public transport systems are expected to reduce pollution and contribute to sustainable development. However, disruptions in public transport such as delays may negatively affect mobility choices. To quantify delays, aggregated data from vehicle loca
Externí odkaz:
http://arxiv.org/abs/2404.07860
Autor:
Gomes, Heitor Murilo, Grzenda, Maciej, Mello, Rodrigo, Read, Jesse, Nguyen, Minh Huong Le, Bifet, Albert
Unlabelled data appear in many domains and are particularly relevant to streaming applications, where even though data is abundant, labelled data is rare. To address the learning problems associated with such data, one can ignore the unlabelled data
Externí odkaz:
http://arxiv.org/abs/2106.09170
The explosive increase in volume, velocity, variety, and veracity of data generated by distributed and heterogeneous nodes such as IoT and other devices, continuously challenge the state of art in big data processing platforms and mining techniques.
Externí odkaz:
http://arxiv.org/abs/2007.01260
Publikováno v:
In Expert Systems With Applications 30 November 2023 231
The systems monitoring the location of public transport vehicles rely on wireless transmission. The location readings from GPS-based devices are received with some latency caused by periodical data transmission and temporal problems preventing data t
Externí odkaz:
http://arxiv.org/abs/1706.05433
Publikováno v:
In Neurocomputing 28 May 2020 391:305-317
Autor:
GOMES, HEITOR MURILO1 heitor.gomes@waikato.ac.nz, GRZENDA, MACIEJ2 m.grzenda@mini.pw.edu.pl, MELLO, RODRIGO3 mello@icmc.usp.br, READ, JESSE4 jesse.read@polytechnique.edu, MINH HUONG LE NGUYEN5 minh.lenguyen@telecom-paris.fr, BIFET, ALBERT1 albert.bifet@waikato.ac.nz
Publikováno v:
ACM Computing Surveys. May2023, Vol. 55 Issue 4, p1-42. 42p.
Autor:
Grzenda, Maciej, Bustillo, Andres
Publikováno v:
In Applied Soft Computing Journal May 2013 13(5):2913-2922