[ad_1] Introduction Assistive technology plays a crucial role in enhancing the quality of life for individuals with disabilities by providing them with tools and devices to help them navigate and interact with the world around…
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[ad_1] Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis 1.9 Definition of…
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[ad_1] Introduction: In recent years, image classification has become a significant research area due to the increasing availability of large datasets and the advancement of deep learning techniques. Convolutional Neural Networks (CNNs) have shown remarkable…
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[ad_1] Introduction: In recent years, chatbots have become increasingly popular in various industries such as customer service, healthcare, and education. Chatbots are computer programs that can simulate conversation with human users, typically through text or…
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[ad_1] Introduction Physics-based simulation for realistic animation is an innovative approach that combines principles of physics with computer graphics to create lifelike animations. This technology has revolutionized the field of animation by allowing animators to…
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[ad_1] Introduction: Hand gesture recognition has gained significant attention in recent years due to its potential applications in human-computer interaction, virtual reality, robotics, and healthcare. One of the key components in hand gesture recognition systems…
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[ad_1] Introduction: In recent years, there has been a significant growth in the use of avatars in various applications such as virtual reality, gaming, and online communication. One of the key components in creating realistic…
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[ad_1] Introduction Human pose estimation is a crucial task in computer vision and motion analysis, with applications ranging from action recognition and virtual reality to sports analytics and healthcare monitoring. In recent years, there has…
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[ad_1] Introduction: Three-dimensional (3D) reconstruction is a crucial aspect of computer vision, with applications ranging from virtual reality to object recognition and robotics. The process involves generating a 3D model of an object or scene…
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[ad_1] Introduction: 3D semantic segmentation is an essential task in computer vision that involves assigning semantic labels to each point in a 3D scene. Scene parsing, on the other hand, focuses on understanding the relationships…
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