Titlebook: Machine Learning for Intelligent Multimedia Analytics; Techniques and Appli Pardeep Kumar,Amit Kumar Singh Book 2021 Springer Nature Singap

自作多情

,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

披肩

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

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

陰謀

ANNUL

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

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LAIR

態(tài)學(xué)

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