Titlebook: Innovative Computing; Proceedings of the 4 Jason C. Hung,Jia-Wei Chang,Wei-Chen Wu Conference proceedings 2022 The Editor(s) (if applicable

畸形

Detection of Region-of-Interest Based on Noise Filtering in High-Speed Images,from the high-speed images entered and then robustly detects the area of interest, the skin color area. The method introduced in this study is expected to be useful in many applications related to pattern recognition, such as image analysis and understanding, video pre-processing, noise removal, etc.

漂亮

圣人

Conference proceedings 2022 out in the areas of information technology, science, and engineering. Some of the themes covered in this book are cloud communications and networking, high performance computing, architecture for secure and interactive IoT, satellite communication, wearable network and system, infrastructure manage

Ambulatory

Using Natural Language Processing Technology to Predict Patient Reintubation with Traditional Chineursing records, this study uses Traditional Chinese nursing records and word vectors of pre-trained nursing records as custom words. The results show that the accuracy of these two models can reach more than 96%. However, there is still room for adjustment in the professional terms and common words used in nursing records in this study.

向下

hurricane

辭職

ARM

Detection of Region-of-Interest Based on Noise Filtering in High-Speed Images, of removing noise pixels abnormally generated from the ultra-high-speed images entered, and then detecting the skin color area of a person, the area of interest that represents personal information from the images of noise removed. The proposed algorithm eliminates noises by applying bilateral filt

Mast-Cell

Detection of Error Images Based on Matching Edges with Strong Components,troduces an algorithm that robustly extracts pixels that are not similar to reference images from the images tested by effectively using edge and template matching techniques. The introduced method first uses a Canny edge to detect strong edges from reference and test images. The template matching t

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