HEDGE
发表于 2025-3-28 16:57:00
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Analogy
发表于 2025-3-28 22:04:24
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Vulvodynia
发表于 2025-3-29 02:09:52
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河潭
发表于 2025-3-29 05:33:31
https://doi.org/10.1007/978-3-476-03713-8 technique has been implemented on the Android operating system. The proposed method delivers about 3 frames per second for 360p video on the Android operating system. It is extremely feasible to increase this real-time performance by employing more powerful hardware.
Free-Radical
发表于 2025-3-29 09:36:06
https://doi.org/10.1007/978-3-642-11672-8 proposed CNN is found to give a correct classification rate (CCR) of 72.71%, the CCR reached the level of average 83.51% by using 4 channels. Also, this reduced the training time from 626 to 306 s. Therefore, the results show that usage of specific channels increases the classification accuracy and reduces the time required for training.
卡死偷电
发表于 2025-3-29 14:19:18
https://doi.org/10.1007/3-7643-7814-X a data model was created by first deriving the characteristics and values of certain types of sensors, and then a sensor application ontology was created using the OWL language. An application program was then developed using the Java programming language and the sensor application ontology developed was queried through the SPARQL query language.
Metastasis
发表于 2025-3-29 19:29:06
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伟大
发表于 2025-3-29 22:41:39
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Cholagogue
发表于 2025-3-30 03:06:43
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组成
发表于 2025-3-30 04:21:01
Multi Channel EEG Based Biometric System with a Custom Designed Convolutional Neural Network proposed CNN is found to give a correct classification rate (CCR) of 72.71%, the CCR reached the level of average 83.51% by using 4 channels. Also, this reduced the training time from 626 to 306 s. Therefore, the results show that usage of specific channels increases the classification accuracy and reduces the time required for training.