[ad_1] Introduction: Quantum computing has emerged as a revolutionary technology with the potential to significantly impact various fields, including materials science. Traditional computers operate using bits that are in a state of either 0 or…
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[ad_1] Introduction: Machine learning has become an essential tool in various industries, including predictive equipment maintenance. Predictive maintenance aims to identify potential equipment failures before they occur, reducing downtime and maintenance costs. By utilizing machine…
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[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] 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 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: Machine learning has become an indispensable tool in various industries, including transportation, where it is increasingly being used for predictive maintenance. Predictive maintenance is a proactive maintenance strategy that involves predicting when equipment…
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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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