自作多情
发表于 2025-3-26 22:41:06
,Efficient and Low Overhead Detection of Brain Diseases Using Deep Learning-Based Sparse MRI Image Cercentage Root Deviation (PRD) according to the theory of approximate computing. In this paper, classification of images belonging to four different brain disease, . Endema, Necrosis, Enhancing Tumor, Non-Enhancing Tumor, has been performed by sparse image classification of MRI images.
任意
发表于 2025-3-27 02:14:31
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披肩
发表于 2025-3-27 07:12:23
Deep Learning Methods for Audio Events Detection, convolution and pooling followed by one or more final levels fully connected in the case of classification, or by a certain number of levels of upsampling in the regression case. In this chapter, we will see how to identify audio events in a complex sound scenario using convolutional neural network
gene-therapy
发表于 2025-3-27 09:29:34
Solving Image Processing Critical Problems Using Machine Learning,cessing was done in MIT called “Summer Vision Project”. The rise of artificial intelligence starts and it is used widely in every field of technology. As the technology advances machine learning is used in almost every field. This book chapter provides you some details how the machine learning is us
阴谋
发表于 2025-3-27 17:27:20
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ANNUL
发表于 2025-3-27 18:25:23
Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Mon and propose a comparison between their success rates in determining damage in civil structures. We used classical techniques such as One-Class Support Vector Machines (OC-SVM), One-Class Isolation Forest (OC-IF), One-Class K-means clustering (OC-KMC), One-Class K-nearest neighbors (OC-KNN), Density
POLYP
发表于 2025-3-28 00:32:17
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LAIR
发表于 2025-3-28 04:24:40
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态学
发表于 2025-3-28 06:18:24
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malign
发表于 2025-3-28 12:46:01
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