Zobrazeno 1 - 10
of 43
pro vyhledávání: '"Adam P. Piotrowski"'
Publikováno v:
IEEE Access, Vol 11, Pp 19775-19793 (2023)
Hundreds of variants of Swarm Intelligence or Evolutionary Algorithms are proposed each year and numerous competitions and comparisons between algorithms may suggest rapid improvement in the field. However, such comparisons are often done between a l
Externí odkaz:
https://doaj.org/article/6caf374012764a4a82b86ebfa6051ae8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 553-569 (2023)
The air2water model is a simple and efficient tool for modeling surface water temperature in lakes based solely on the air temperature. In this article, we propose to modify the air2water model in such a way that different parameters would be associa
Externí odkaz:
https://doaj.org/article/6e6b79923e004141a8b2f999338495e9
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 48, Iss , Pp 101468- (2023)
Study region: Lowland lakes located at Poland. Study focus: There are thousands of lowland lakes in Poland, however, many of them don’t have observed data of water temperatures. How can we simply estimate lake surface water temperature (LSWT) is ch
Externí odkaz:
https://doaj.org/article/0e5a6b1828c44f81a3ee1d08e6418ff9
Publikováno v:
Acta Geophysica.
The performance of conceptual catchment runoff models may highly depend on the specific choice of calibration methods made by the user. Particle Swarm Optimization (PSO) and Differential Evolution (DE) are two well-known families of Evolutionary Algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fbc12e992c9e58147e343fc36b80ebc
https://doi.org/10.1007/s11600-022-00988-0
https://doi.org/10.1007/s11600-022-00988-0
Publikováno v:
Artificial Intelligence Review
COVID-19 disease, which highly affected global life in 2020, led to a rapid scientific response. Versatile optimization methods found their application in scientific studies related to COVID-19 pandemic. Differential Evolution (DE) and Particle Swarm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1887bd91563bb349cb2c53eeacb7359e
http://europepmc.org/articles/PMC8374127
http://europepmc.org/articles/PMC8374127
Publikováno v:
Engineering Applications of Artificial Intelligence. 121:106008
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df030dca85da52d1e38e53219e2cb0ac
https://doi.org/10.1016/j.engappai.2023.106008
https://doi.org/10.1016/j.engappai.2023.106008
River/stream water temperature forecasting using artificial intelligence models: a systematic review
Autor:
Senlin Zhu, Adam P. Piotrowski
Publikováno v:
Acta Geophysica. 68:1433-1442
Water temperature is one of the most important indicators of aquatic system, and accurate forecasting of water temperature is crucial for rivers. It is a complex process to accurately predict stream water temperature as it is impacted by a lot of fac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed3df2a5c924390c4db32aa87d504420
https://doi.org/10.1007/s11600-020-00480-7
https://doi.org/10.1007/s11600-020-00480-7
Publikováno v:
Water Resources Management. 33:4509-4524
Conceptual lumped rainfall-runoff models are frequently used for various environmental problems. To put them into practice, both the model calibration method and data series of the area-averaged precipitation and air temperature are needed. In the ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::070095d513b97b4a785888ddc3c4d3e6
https://doi.org/10.1007/s11269-019-02368-8
https://doi.org/10.1007/s11269-019-02368-8
Publikováno v:
Journal of Hydrology. 572:308-328
Among various stream temperature models those based on nonlinear regression frequently attract attention due to their simplicity and small number of required variables. Among such approaches the logistic regression model developed twenty years ago fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e42e1fd1edb6458f7be6fede374f3a57
https://doi.org/10.1016/j.jhydrol.2019.02.035
https://doi.org/10.1016/j.jhydrol.2019.02.035
Publikováno v:
Swarm and Evolutionary Computation. 43:88-108
For about two decades Differential Evolution (DE) algorithms belong to the most successful optimization metaheuristics. Among plentiful DE versions proposed so far those that are based on mutation strategies and control parameter adaptation methods i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::95de9d09627a521f5d2c3ae672df72ff
https://doi.org/10.1016/j.swevo.2018.03.007
https://doi.org/10.1016/j.swevo.2018.03.007