[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** Neuromorphic computing is a cutting-edge technology that seeks to mimic the functionality of the human brain in electronic circuits. This has led to the development of intelligent sensor networks that can perform complex…
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[ad_1] Introduction: Serverless computing is a revolutionary approach to building and deploying applications in the cloud. It allows developers to focus on writing code without having to worry about managing the underlying infrastructure. Event-driven architectures…
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[ad_1] Introduction Zero-knowledge proofs are a powerful cryptographic tool that allows one party to prove to another party that a statement is true without revealing any additional information beyond the validity of the statement itself.…
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[ad_1] Introduction Generative adversarial networks (GANs) have revolutionized the field of artificial intelligence by enabling the generation of highly realistic images, text, and other forms of data. One of the most exciting applications of GANs…
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[ad_1] Introduction In recent years, deep learning technology has revolutionized the field of medical diagnosis by achieving high accuracy in detecting diseases from medical images and clinical data. However, one major drawback of deep learning…
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[ad_1] Introduction: Decentralized online marketplaces have revolutionized traditional ways of conducting commerce by leveraging blockchain technology. This thesis aims to explore the potential of decentralized online marketplaces using blockchain to enhance security, transparency, and efficiency…
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[ad_1] Introduction In recent years, the field of quantum computing has gained increasing attention for its potential to revolutionize traditional optimization techniques. Quantum-inspired optimization algorithms, which draw inspiration from the principles of quantum mechanics, have…
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[ad_1] Introduction Visual question answering (VQA) is a challenging task that involves understanding natural language questions about images and generating accurate answers. Multi-modal learning, which combines information from both visual and textual modalities, has shown…
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[ad_1] Introduction In recent years, machine learning has become increasingly popular in various domains such as e-commerce, healthcare, and finance. One application of machine learning that has gained significant interest is recommendation systems, which aim…
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