Titlebook: Computer Vision and Image Processing; 8th International Co Harkeerat Kaur,Vinit Jakhetiya,Sanjeev Kumar Conference proceedings 2024 The Edi

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書目名稱Computer Vision and Image Processing影響因子(影響力)




書目名稱Computer Vision and Image Processing影響因子(影響力)學(xué)科排名




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度




書目名稱Computer Vision and Image Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computer Vision and Image Processing被引頻次




書目名稱Computer Vision and Image Processing被引頻次學(xué)科排名




書目名稱Computer Vision and Image Processing年度引用




書目名稱Computer Vision and Image Processing年度引用學(xué)科排名




書目名稱Computer Vision and Image Processing讀者反饋




書目名稱Computer Vision and Image Processing讀者反饋學(xué)科排名

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978-3-031-58180-9The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Brian Steele,John Chandler,Swarna Reddy by the selfie apps, face recognition becomes more challenging with existing approaches. We develop a challenging Wild Selfie Dataset (WSD) where the images are captured from the selfie cameras of different smart phones. The WSD dataset contains 45,424 images from 42 individuals (i.e., 24 female and

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Nearest Neighbor Queries over Encrypted Dataipulation of ECG signals can result in inaccurate diagnosis or treatment because these signals are crucial for identifying and monitoring cardiovascular illnesses. Also, these signals are frequently sent via the internet, raising the possibility of unwanted access and manipulation. Hence, ECG signal

interrupt

https://doi.org/10.1007/978-3-030-58896-0s provide better image understanding and interpretation of features. Because the number of NIR-RGB paired datasets is limited and often unavailable, a method to convert a given NIR image to an RGB image is highly desirable. The present work proposes an unsupervised image to image translation techniq

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Range Queries over Encrypted Datag cracks for distress analysis in challenging background scenarios is a difficult task as there is no clear boundary that separates cracks from the background. Some of the other perceptually noted challenges with the images are variations in color, intensity, depth, blur, motion-blur, orientation, r