GUILE
发表于 2025-3-25 05:44:41
https://doi.org/10.1007/b137482ple infected with tuberculosis. For detecting disease in the medical field using the computational technique, MRCNN & UNET Model has achieved impressive accuracy across multiple datasets like brain tumor (Multimodal Brain Tumor Image Segmentation (BRATS 2015) datasets), glaucoma and other based on d
两种语言
发表于 2025-3-25 09:43:32
Michael Zaudig,Rolf Dieter Trautmannor Indian healthy people to identify same amount of currency notes with different-new designs. Human eye has also some limitation so some time fake currency not identifiable by them. In this paper using deep learning technique, detection model trained with dataset and tested it with different Indian
羊栏
发表于 2025-3-25 13:53:37
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Cacophonous
发表于 2025-3-25 19:39:10
Michael Zaudig,Rolf Dieter Trautmannmore challenging due to diverse kind of emotional content and such content is growing on web these days. This research work is classifying emotions written in Hindi in form of poem with 4 categories namely Karuna, Shanta, Shringar and Veera. POS tagging is used on all the poem and then features are
令人悲伤
发表于 2025-3-25 22:04:02
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AMPLE
发表于 2025-3-26 00:43:21
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HUMP
发表于 2025-3-26 05:41:14
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惩罚
发表于 2025-3-26 09:34:03
Michael Zaudig,Rolf Dieter Trautmannisease in the world, especially in the South Asian region. Its detection and treatment involve expensive medical facilities. The early detection of CAD, which is a major challenge, can minimize the patients’ suffering and expenses. The major challenge for CAD detection is incorporating numerous fact
ANTIC
发表于 2025-3-26 16:29:25
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我没有强迫
发表于 2025-3-26 20:26:37
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