[ad_1] Introduction In recent years, with the advancement of technology and the increasing amount of data being generated, privacy has become a major concern in the field of machine learning. As machine learning models 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** Deep learning models have achieved remarkable success in various natural language processing tasks, including natural language inference (NLI). NLI, also known as textual entailment, aims to determine the logical relationship between a premise…
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[ad_1] Introduction: As the era of quantum computing approaches, traditional digital signature algorithms are becoming increasingly vulnerable to attacks by quantum computers. Quantum computers have the potential to break widely used encryption schemes such as…
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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 In recent years, the field of materials discovery has undergone a rapid transformation due to the advancements in quantum machine learning techniques. Quantum machine learning combines concepts from quantum mechanics and machine learning…
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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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