Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Szymon Łukasik"'
Publikováno v:
Sensors, Vol 24, Iss 18, p 6051 (2024)
Outdoor positioning has become a ubiquitous technology, leading to the proliferation of many location-based services such as automotive navigation and asset tracking. Meanwhile, indoor positioning is an emerging technology with many potential applica
Externí odkaz:
https://doaj.org/article/63f0792753fe45ca863528077f11012b
Autor:
Wiesław Jaszczur, Szymon Łukasik
Publikováno v:
Safety & Fire Technology, Vol 58, Iss 2, Pp 140-152 (2021)
Purpose: The theoretical aim of this study was to present the impact of modern technologies on the improvement of the effectiveness of process activ- ities (documenting) at the site of a communication disaster. On the other hand, the utilitarian goa
Externí odkaz:
https://doaj.org/article/b16f674d862043f8b3709816f6615b5e
Publikováno v:
Algorithms, Vol 15, Iss 2, p 43 (2022)
Clustering constitutes a well-known problem of division of unlabelled dataset into disjoint groups of data elements. It can be tackled with standard statistical methods but also with metaheuristics, which offer more flexibility and decent performance
Externí odkaz:
https://doaj.org/article/ccf7f240c94b4010a87576579fdb96ef
Publikováno v:
Annals of computer science and information systems, Vol 8, Pp 79-87 (2016)
Externí odkaz:
https://doaj.org/article/ec79779e7568466c8f80062c10b7a347
Autor:
André Mora, Tiago M. A. Santos, Szymon Łukasik, João M. N. Silva, António J. Falcão, José M. Fonseca, Rita A. Ribeiro
Publikováno v:
Information, Vol 8, Iss 4, p 147 (2017)
This article discusses how computational intelligence techniques are applied to fuse spectral images into a higher level image of land cover distribution for remote sensing, specifically for satellite image classification. We compare a fuzzy-inferenc
Externí odkaz:
https://doaj.org/article/48dce954b9dd49029d1d83e0c443d1d6
Autor:
Konrad Lalik, Szymon Łukasik, Piotr A. Kowalski, Piotr Sarna, Piotr Kulczycki, Małgorzata Charytanowicz
Publikováno v:
International Journal of Applied Mathematics and Computer Science, Vol 29, Iss 3, Pp 467-476 (2019)
Extracting useful information from astronomical observations represents one of the most challenging tasks of data exploration. This is largely due to the volume of the data acquired using advanced observational tools. While other challenges typical f
Autor:
Pawel Kopciewicz, Szymon Łukasik
Publikováno v:
Neural Computing and Applications. 32:11999-12010
Recent growth of metaheuristic search strategies has brought a huge progress in the domain of computational optimization. The breakthrough started since the well-known Particle Swarm Optimization algorithm had been introduced and examined. Optimizati
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779634
ICCS (2)
ICCS (2)
In recent years Machine Learning and Artificial Intelligence are reshaping the landscape of e-commerce and retail. Using advanced analytics, behavioral modeling, and inference, representatives of these industries can leverage collected data and incre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::844af69f940d89f068fba48dd5f51faf
https://doi.org/10.1007/978-3-030-77964-1_8
https://doi.org/10.1007/978-3-030-77964-1_8
Publikováno v:
Computational Science – ICCS 2021 ISBN: 9783030779603
ICCS (1)
ICCS (1)
LHCb at CERN, Geneva is a world-leading high energy physics experiment dedicated to searching for New Physics phenomena. The experiment is undergoing a major upgrade and will rely entirely on a flexible software trigger to process the data in real-ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0643fc6e71558568f762cca82b916f8e
https://doi.org/10.1007/978-3-030-77961-0_25
https://doi.org/10.1007/978-3-030-77961-0_25
Autor:
Szymon Łukasik
Publikováno v:
Swarm Intelligence Algorithms ISBN: 9780429422614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03283cc766d9df64046b914a2de786f8
https://doi.org/10.1201/9780429422614-15
https://doi.org/10.1201/9780429422614-15