Zobrazeno 1 - 10
of 145
pro vyhledávání: '"neural networks (information technology)"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16:1654-1667
Nowcasts (i.e., short-term forecasts from 5 min to 6 h) of heavy rainfall are important for applications such as flash flood predictions. However, current precipitation nowcasting methods based on the extrapolation of radar echoes have a limited abil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aaf95a3fd7d9f0f4b5dbef416615f28c
https://doi.org/10.1109/jstars.2023.3238016
https://doi.org/10.1109/jstars.2023.3238016
Adaptation of Pre-trained Deep Neural Networks for Sound Event Detection Facilitating Smart Homecare
Autor:
Shin, Mikyong Deborah
As foreseen by numerous researchers, the worldwide demographic changes of the elderly population in 2050 will be expected to grow by over 30% in the global population, which has urged to development of cost-efficient and effective automated sound rec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::2434945abe41c61fdc2703b0c4483093
https://trepo.tuni.fi/handle/10024/149443
https://trepo.tuni.fi/handle/10024/149443
Autor:
Siegel, Sebastian
Purpose Automated feature extraction combined with deep learning has had and continues to have a strong impact on the improvement and implementation of pattern recognition driven by machine learning. Systems without prior expertise about a problem bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::1648705d104655cc202c6a5105c12a81
https://trepo.tuni.fi/handle/10024/147823
https://trepo.tuni.fi/handle/10024/147823
Autor:
Sinisalmi, Sami
In this thesis, a novel data augmentation method for deep neural networks is presented for a ship type classification task. This task is an audio classification task, which utilizes underwater hydrophone recordings. The provided dataset of hydrophone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::4558c191c559f0410ef5c92f0ec874d0
https://trepo.tuni.fi/handle/10024/146887
https://trepo.tuni.fi/handle/10024/146887
Autor:
Naeem, Haris
Data collection is a major bottleneck in vision based robot grasping and manipulation applications. The availability of data is not always possible in confidential or high-risk areas providing a constraint for conducting experiments that require deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::ee1f3353bc431561911e96a5b086d898
https://trepo.tuni.fi/handle/10024/145425
https://trepo.tuni.fi/handle/10024/145425
Autor:
Blazhko, Veronika
Predicting the links in a network, based on the node features, has been a prominent problem of the network science of the past few years. The fast changing industry implements more and more complex systems, which creates a demand for network analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4853::dc2d1b347f9113e83733eaff880d8d76
https://trepo.tuni.fi/handle/10024/147760
https://trepo.tuni.fi/handle/10024/147760