[ad_1] Introduction: Federated reinforcement learning is a cutting-edge technique that combines the power of reinforcement learning with the distributed nature of federated learning. This approach has shown immense potential in various domains, including smart manufacturing.…
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[ad_1] Introduction Neuromorphic computing is a cutting-edge field of study that aims to mimic the structure and functionality of the human brain using hardware and software systems. This approach provides a unique opportunity to develop…
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[ad_1] Introduction Distributed ledger technology (DLT) has gained significant attention in recent years due to its potential to revolutionize various industries, including finance, healthcare, supply chain management, and energy trading. One area where DLT shows…
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[ad_1] Introduction: Zero-knowledge proofs have gained significant attention in recent years due to their ability to provide secure authentication while maintaining user anonymity. This research focuses on utilizing zero-knowledge proofs for anonymous authentication, where users…
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[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in the field of deep learning for their ability to generate realistic and high-quality data, including images, text, and even 3D objects. In recent years,…
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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, dynamic pricing has become a popular strategy among businesses to optimize pricing strategies based on various factors such as demand, competition, and market conditions. With the advancement of machine learning…
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[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful tool for enhancing the scalability and privacy of blockchain networks. These cryptographic protocols allow for the verification of computations without revealing…
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[ad_1] **Introduction** Quantum-inspired optimization has gained much attention in recent years as a promising approach to solve complex optimization problems efficiently. Supply chain logistics is a critical area where optimization plays a vital role in…
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[ad_1] Introduction: Multi-modal learning for affective computing is a rapidly growing field that aims to enhance the capabilities of computer systems to recognize, interpret, and respond to human emotions through multiple modalities such as facial…
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