Zobrazeno 1 - 10
of 602
pro vyhledávání: '"temporal segmentation"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Humans perceive continuous speech signals as discrete sequences. To clarify the temporal segmentation window of speech information processing in the human auditory cortex, the relationship between speech perception and cortical responses was
Externí odkaz:
https://doaj.org/article/763b53d716fc4139a9d6548337886299
Autor:
Donato Morresi, Hyeyoung Maeng, Raffaella Marzano, Emanuele Lingua, Renzo Motta, Matteo Garbarino
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Time series analysis of medium-resolution multispectral satellite imagery is critical to investigate forest disturbance dynamics at the landscape scale. In particular, the spatial, temporal, and radiometric consistency of Landsat time series data pro
Externí odkaz:
https://doaj.org/article/61e53c7fe52546528c711ea79ac38c67
Autor:
Bogdan Mocanu, Ruxandra Tapu
Publikováno v:
IEEE Access, Vol 12, Pp 63142-63155 (2024)
In the past few years, the online video streaming market has witnessed rapid growth and has become the most important form of entertainment. Motivated by the huge business opportunities, the advertisement insertion mechanisms have become a hot topic
Externí odkaz:
https://doaj.org/article/bfa25abf6e05443b8787a41c8abaea8e
Autor:
Valerie J. Pasquarella, Luca L. Morreale, Christopher F. Brown, John B. Kilbride, Jonathan R. Thompson
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103561- (2023)
Ensemble-based change detection can improve map accuracies by combining information from multiple datasets. There is a growing literature investigating ensemble inputs and applications for forest disturbance detection and mapping. However, few studie
Externí odkaz:
https://doaj.org/article/1546a6a918b14f1a8c4bb959fb9d98da
Publikováno v:
NeuroImage, Vol 282, Iss , Pp 120372- (2023)
Source imaging of Electroencephalography (EEG) and Magnetoencephalography (MEG) provides a noninvasive way of monitoring brain activities with high spatial and temporal resolution. In order to address this highly ill-posed problem, conventional sourc
Externí odkaz:
https://doaj.org/article/390f860c53ab40f692fb61eced08740d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 8563-8576 (2023)
In cloudy and rainy regions, frequent cloud cover limits clear data obtained using a single optical sensor, posing a substantial challenge for detecting deforestation events on subannual scale. In this article, a subannual scale deforestation detecti
Externí odkaz:
https://doaj.org/article/43943722774a4f48aa0a134f7dfaa069
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 5, Pp 1793-1807 (2022)
In recent years, recognition of hand gestures has received considerable attention from the research community, with an increased interest in advanced decision support systems. In applications of this type of system, recognition of hand gestures based
Externí odkaz:
https://doaj.org/article/d040d2e550044d149882c48686cf91fd
Autor:
Minh Tran Duc Nguyen, Nhi Yen Phan Xuan, Bao Minh Pham, Hiep Tran Minh Do, Thu Ngoc Minh Phan, Quynh Thanh Truc Nguyen, Anh Hoang Lan Duong, Vy Kim Huynh, Bao Dinh Chau Hoang, Huong Thi Thanh Ha
Publikováno v:
Informatics in Medicine Unlocked, Vol 36, Iss , Pp 101141- (2023)
Enhancing the performance of motor imagery-based Brain-Computer Interfaces (BCI) has been a significant goal in the BCI field. To achieve such a goal, several typical and promising techniques have been implemented, such as developing intelligent algo
Externí odkaz:
https://doaj.org/article/b6c75fee7f9a4b6e93be501066f620fe
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Akademický článek
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