Zobrazeno 1 - 10
of 609
pro vyhledávání: '"3D convolution"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract The research on video analytics especially in the area of human behavior recognition has become increasingly popular recently. It is widely applied in virtual reality, video surveillance, and video retrieval. With the advancement of deep lea
Externí odkaz:
https://doaj.org/article/95cb2aec591c45dd8c66ba270c3a47b1
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
AbstractAcoustic emission predicts coal sample failure, vital for early warnings and monitoring. The study emphasizes using acoustic emission to predict coal sample failure patterns and establish a discriminative model for monitoring. It employs a li
Externí odkaz:
https://doaj.org/article/1dfb9e1217e3430c94c76cc00bdda554
Publikováno v:
Zhongguo Jianchuan Yanjiu, Vol 18, Iss 6, Pp 186-196 (2023)
ObjectivesLow sampling rates on reconstruction surfaces cause high reconstruction error in near-field acoustic holography. Therefore, a deep learning-based approach which is applicable to planar sound sources and high-precision reconstruction with lo
Externí odkaz:
https://doaj.org/article/ebe445d7b61246a9ad536cb63c395bcf
Publikováno v:
Sensors, Vol 24, Iss 14, p 4563 (2024)
End-to-end disparity estimation algorithms based on cost volume deployed in edge-end neural network accelerators have the problem of structural adaptation and need to ensure accuracy under the condition of adaptation operator. Therefore, this paper p
Externí odkaz:
https://doaj.org/article/0b35bf82509b425a80a612a5fc51d96f
Publikováno v:
Polymers, Vol 16, Iss 11, p 1561 (2024)
Ultrasonic testing is widely used for defect detection in polymer composites owing to advantages such as fast processing speed, simple operation, high reliability, and real-time monitoring. However, defect information in ultrasound images is not easi
Externí odkaz:
https://doaj.org/article/f1a2c1338fbc448eb7fb2948fa84126f
Publikováno v:
Sensors, Vol 24, Iss 11, p 3464 (2024)
Human emotions are complex psychological and physiological responses to external stimuli. Correctly identifying and providing feedback on emotions is an important goal in human–computer interaction research. Compared to facial expressions, speech,
Externí odkaz:
https://doaj.org/article/e50421a8de7c467ba4b87b1cd99e6fad
Publikováno v:
IEEE Access, Vol 11, Pp 125822-125834 (2023)
General sign language recognition models are only designed for recognizing categories, i.e., such models do not discriminate standard and nonstandard sign language actions made by learners. It is inadequate to use in a sign language education softwar
Externí odkaz:
https://doaj.org/article/ec99e4c00fa043de8bf393fd5b04bd79
Publikováno v:
IEEE Access, Vol 11, Pp 122586-122597 (2023)
Video super-resolution technology enhances the display quality of videos by obtaining high-resolution videos from low-resolution videos. Unlike single-image super-resolution, utilizing information between adjacent video frames is crucial in video sup
Externí odkaz:
https://doaj.org/article/b1d2176869c54c61acbdf95679bbb10c
Publikováno v:
IEEE Access, Vol 11, Pp 50547-50559 (2023)
Gesture recognition has always been one of the important research directions in the field of computer vision. The dynamic gesture has the problems of complex backgrounds and many interference factors. The gesture recognition model based on deep learn
Externí odkaz:
https://doaj.org/article/045b44268a284849b095614829b54d92
Publikováno v:
IEEE Access, Vol 11, Pp 31262-31271 (2023)
In order to fully extract the temporal and spatial features contained in motor imagery electroencephalography (EEG) signals for effective identification of motor imagery, a three-dimensional capsule network (3D-CapsNet) EEG signal recognition model i
Externí odkaz:
https://doaj.org/article/d52ceffffbb64c06a459fa9cb44e3020