[ad_1] Introduction With the exponential growth of data in today’s digital world, the need for efficient and secure storage solutions has become paramount. Data deduplication is a technique that aims to reduce storage space by…
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[ad_1] **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 1.9…
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[ad_1] Introduction Natural language generation (NLG) is a field of artificial intelligence that focuses on the automatic generation of human-like text from structured data. It has numerous applications in various domains such as customer service,…
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[ad_1] Introduction Blockchain technology has gained significant attention in recent years due to its potential to revolutionize various industries. One such industry that stands to benefit greatly from blockchain technology is digital identity verification. With…
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[ad_1] Introduction Renewable energy systems play a crucial role in the global transition towards a more sustainable future. However, the maintenance of these systems presents unique challenges due to the intermittent nature of renewable energy…
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[ad_1] Introduction Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. NLP has been a rapidly growing field with the advancement of technology and…
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[ad_1] Introduction: Artificial Intelligence (AI) has revolutionized many industries by enabling machines to perform complex tasks that were once thought to be exclusive to humans. One of the areas where AI has shown great potential…
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[ad_1] Introduction AI technologies have revolutionized various fields, including space exploration and satellite imagery analysis. With the increasing complexity and vastness of space, AI has become an indispensable tool for processing and analyzing the massive…
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[ad_1] Introduction In recent years, there has been a growing interest in federated analytics, a distributed machine learning framework that allows multiple parties to collaboratively train machine learning models on their respective datasets without sharing…
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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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