[ad_1] Introduction The Internet of Things (IoT) is rapidly becoming an integral part of our daily lives, with a vast array of devices connected to the internet to improve efficiency, convenience, and communication. However, the…
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[ad_1] Introduction: In recent years, there has been a growing interest in the development of Neuromorphic computing for robotic control due to its potential to revolutionize the field of robotics. Neuromorphic computing is a branch…
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[ad_1] Introduction: In today’s digital age, the management and protection of intellectual property (IP) have become increasingly complex and challenging. With the rise of digital assets and globalized markets, traditional methods of IP management are…
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[ad_1] Introduction: Generative adversarial networks (GANs) have emerged as a powerful tool for data augmentation in recent years. Data augmentation is a crucial technique in machine learning and computer vision tasks, as it allows for…
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[ad_1] Introduction Chapter 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…
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[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) are cryptographic protocols that allow one party to prove to another party that they have knowledge of a certain statement without revealing any information about the…
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[ad_1] Introduction Federated transfer learning is a cutting-edge approach in machine learning that leverages knowledge transfer among multiple organizations to enhance predictive models without the need to share sensitive data. Specifically, it aims to address…
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[ad_1] Introduction The emergence of blockchain technology has revolutionized various industries, introducing new possibilities for secure and decentralized systems. One of the promising applications of blockchain is in identity management, where individuals have control over…
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[ad_1] Introduction: Quantum-inspired optimization has gained significant attention in recent years for its potential to revolutionize traditional optimization techniques. This research focuses on applying quantum-inspired optimization algorithms to the domain of portfolio management, a complex…
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[ad_1] Introduction Quantum machine learning is a rapidly growing field that aims to combine the power of quantum computing with machine learning algorithms to solve complex problems in various domains. However, quantum computers are highly…
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