[ad_1] Introduction: Neuromorphic computing is a cutting-edge technology that has gained significant attention due to its potential to mimic the human brain’s processing capabilities. This technology is particularly suitable for sensor fusion, which involves the…
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[ad_1] Introduction: In recent years, there has been a growing interest in decentralized file storage systems due to their potential to address the limitations of traditional centralized storage solutions. Distributed systems offer a more efficient…
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[ad_1] Introduction Earthquakes are one of the most devastating natural disasters, causing widespread destruction and loss of life. Predicting earthquakes accurately can help in minimizing the impact of such disasters and save countless lives. Traditional…
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[ad_1] Introduction: Quantum sensing has emerged as a promising technology for environmental monitoring due to its ability to measure physical quantities with high precision and sensitivity. By harnessing the principles of quantum mechanics, quantum sensors…
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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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[ad_1] Introduction The advent of autonomous shipping has revolutionized the maritime industry, leading to increased efficiency, safety, and cost-effectiveness. One of the key technologies driving this transformation is computer vision, which enables ships to perceive…
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[ad_1] Thesis Overview: Deep reinforcement learning for network routing Introduction Deep reinforcement learning (DRL) has recently gained significant attention in the field of artificial intelligence and machine learning. This thesis explores the application of DRL…
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[ad_1] Introduction Deep reinforcement learning is a powerful technique that combines the fields of deep learning and reinforcement learning to enable machines to learn and make decisions in complex, dynamic environments. In recent years, deep…
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[ad_1] Introduction Swarm robotics is a field of study that focuses on the coordination and cooperation of multiple robots to achieve a common goal. This emerging technology has gained significant attention in recent years due…
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[ad_1] Introduction: Quantum machine learning is a cutting-edge field that combines principles of quantum physics with machine learning algorithms to solve complex problems in various industries. One such application is drug design, where the goal…
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