[ad_1] Introduction Advancements in Quantum Computing for Cryptographic Security Chapter 1: Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objectives of Study 1.5 Limitations of Study 1.6 Scope of Study 1.7 Significance…
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[ad_1] Introduction Over the past few years, there has been an increased interest in the application of quantum machine learning in various fields, including drug discovery and development. The potential of quantum computers to solve…
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[ad_1] Introduction Machine learning has emerged as a powerful tool in various industries for predictive maintenance, helping to improve efficiency, reduce downtime, and minimize costs. In the context of water treatment plants, where the availability…
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[ad_1] Introduction In recent years, the healthcare industry has seen a dramatic increase in the amount of digital data being generated and stored. This data includes sensitive information such as patient records, medical history, and…
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[ad_1] Introduction In recent years, the integration of artificial intelligence (AI) into computer vision technology has revolutionized various industries, including manufacturing. Automated visual inspection, powered by AI algorithms, has significantly improved the efficiency and accuracy…
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[ad_1] Introduction Virtual reality (VR) technology has shown great potential in improving the rehabilitation process for stroke patients. By combining VR with artificial intelligence (AI), we can create personalized and interactive rehabilitation programs that can…
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[ad_1] Introduction: In recent years, the rise of quantum computing has posed a significant threat to the security of traditional cryptographic algorithms used in instant messaging protocols. As quantum computers become more powerful, they have…
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[ad_1] Introduction In recent years, with the advent of advanced technologies such as artificial intelligence (AI) and Internet of Things (IoT), the agriculture industry has been revolutionized. One area that has seen significant advancements is…
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[ad_1] Introduction With the increasing demand for renewable energy sources and the push towards decentralization of energy grids, the need for efficient management and coordination of energy generation, distribution, and consumption has become paramount. Traditional…
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[ad_1] Introduction Quantum computing has emerged as a promising technology that has the potential to revolutionize various fields, including network traffic optimization. Traditional algorithms used for network traffic optimization face limitations in handling the increasing…
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