Titlebook: Smart Computer Vision; B. Vinoth Kumar,P. Sivakumar,Junhua Ding Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive

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Deep Learning in Autoencoder Framework and Shape Prior for Hand Gesture Recognition,us creating an interface, which helps computer to understand human body language. In this article, an automated hand gesture recognition system is proposed using deep learning framework. The proposed scheme classifies the input hand gestures, each represented by a set of feature vector into some pre

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An Effective Diabetic Retinopathy Detection Using Hybrid Convolutional Neural Network Models,fected. It is estimated that around 40 million beings have diabetes in the United States, and according to the World Health Organization (WHO), 347 million people are living with the disease globally. Diabetic retinopathy (DR) is a long-term diabetes-related eye condition. Roughly, 45–50% of the Ame

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Modified Discrete Differential Evolution with Neighborhood Approach for Grayscale Image Enhancementr optimization problems. Extending the superiority of . to solve discrete-valued parameter optimization problem is an active research area. This chapter proposes a modified ., best neighborhood ., which is faster in solving discreate-valued benchmarking and real-world optimization problems. The stud

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Swarm-Based Methods Applied to Computer Vision, imitate the behaviors observed in natural systems that allow said systems to solve problems. These methods consider a set of individuals that can perform very simple operations when operating independently, but can solve complex problems when viewed as a set operating in parallel. Another important

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