[ad_1] Introduction Artificial Intelligence (AI) has become increasingly popular in various fields, including education, where automated essay grading systems are being used to provide feedback to students. However, these systems are often considered ‘black boxes,’…
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[ad_1] Introduction Swarm robotics is a field of study that focuses on the coordination of large groups of simple robots to perform complex tasks. One of the most promising applications of swarm robotics is in…
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[ad_1] Introduction Fully homomorphic encryption (FHE) is a revolutionary cryptographic technique that allows for computations to be performed on encrypted data without the need for decryption. This ability opens up new avenues for secure data…
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[ad_1] Introduction: Artificial Intelligence (AI) has revolutionized various industries, including the field of image and video editing. AI-powered tools have significantly improved the efficiency and quality of editing tasks, empowering users to achieve professional results…
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[ad_1] Introduction Privacy-preserving deep learning is a growing area of research that aims to develop techniques to protect sensitive data while still allowing for the training and utilization of deep learning models. With the rise…
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[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of the study 1.3 Problem statement 1.4 Objective of the study 1.5 Limitation of the study 1.6 Scope of the study 1.7 Significance of the study…
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[ad_1] Introduction: Swarm robotics is an emerging field that combines principles of robotics and social behavior to create a collaborative system of robots working together to achieve a common goal. In the context of manufacturing,…
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[ad_1] Introduction As the Internet of Things (IoT) continues to grow and evolve, the need for secure communication and data protection becomes increasingly important. Attribute-based encryption (ABE) is a promising cryptographic technique that can be…
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[ad_1] Introduction Computer vision is a rapidly growing field in artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world around us. One key application of computer vision is…
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[ad_1] Introduction Federated learning has emerged as a promising approach for training machine learning models across a decentralized network of devices while keeping the data localized. This distributed learning paradigm has gained significant attention in…
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