Zobrazeno 1 - 10
of 838
pro vyhledávání: '"Deep networks"'
Publikováno v:
AgriEngineering, Vol 6, Iss 1, Pp 344-360 (2024)
Using deep learning-based tools in the field of agriculture for the automatic detection of plant leaf diseases has been in place for many years. However, optimizing their use in the specific background of the agriculture field, in the presence of oth
Externí odkaz:
https://doaj.org/article/fbc7507ba035404a8b04c37e5c983e36
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 16902-16916 (2024)
In recent decades, weakly supervised object localization (WSOL) has gained increasing attention in remote sensing. However, unlike optical images, remote sensing images (RSIs) often contain more complex scenes, which poses challenges for WSOL. Tradit
Externí odkaz:
https://doaj.org/article/5609d41e205e43b4bfed70ff94c68372
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2527 (2024)
Accurate robot dynamics models are crucial for safe and stable control as well as for generalization to new conditions. Data-driven methods are increasingly used in robotics dynamics modeling for their superior approximation, with extrapolation perfo
Externí odkaz:
https://doaj.org/article/52d0de1fa8ef40ff8ae0715942820b87
Publikováno v:
International Journal of Intelligent Unmanned Systems, 2021, Vol. 11, Issue 1, pp. 132-150.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJIUS-08-2021-0100
Autor:
Łukasz Czekaj, Mateusz Kowalewski, Jakub Domaszewicz, Robert Kitłowski, Mariusz Szwoch, Włodzisław Duch
Publikováno v:
Sensors, Vol 24, Iss 12, p 3891 (2024)
Human Activity Recognition (HAR) plays an important role in the automation of various tasks related to activity tracking in such areas as healthcare and eldercare (telerehabilitation, telemonitoring), security, ergonomics, entertainment (fitness, spo
Externí odkaz:
https://doaj.org/article/01e3a9ff60e949688c551a0bca66e46e
Publikováno v:
Machine Learning and Knowledge Extraction, Vol 4, Iss 4, Pp 1011-1023 (2022)
Numerous approaches address over-fitting in neural networks: by imposing a penalty on the parameters of the network (L1, L2, etc.); by changing the network stochastically (drop-out, Gaussian noise, etc.); or by transforming the input data (batch norm
Externí odkaz:
https://doaj.org/article/ab08021471694729817e76407cba5709
Publikováno v:
Applied Sciences, Vol 14, Iss 6, p 2630 (2024)
For video style transfer, naively applying still image techniques to process a video frame-by-frame independently often causes flickering artefacts. Some works adopt optical flow into the design of temporal constraint loss to secure temporal consiste
Externí odkaz:
https://doaj.org/article/228463e9a9234d30b0ac71ed18a28421
Publikováno v:
Plants, Vol 13, Iss 1, p 135 (2024)
Deep learning plays a vital role in precise grapevine disease detection, yet practical applications for farmer assistance are scarce despite promising results. The objective of this research is to develop an intelligent approach, supported by user-fr
Externí odkaz:
https://doaj.org/article/3161adfb14344656a022d50643f6db11
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.