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Quantum algorithms for optimization in machine learning – Complete Phd and Masters Thesis

Quantum algorithms for optimization in machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum computing is an emerging field that has the potential to revolutionize the way we solve complex optimization problems in machine learning. Traditional algorithms struggle with the exponential growth of data and the…

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Distributed ledger technology for transparent and efficient healthcare billing – Complete Phd and Masters Thesis

Distributed ledger technology for transparent and efficient healthcare billing – Complete Phd and Masters Thesis

[ad_1] Introduction: Over the years, the healthcare industry has been plagued with issues related to transparency and efficiency in billing processes. Healthcare billing is a complex and time-consuming task that often leads to errors, fraud,…

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Computer vision for automated recycling sorting – Complete Phd and Masters Thesis

Computer vision for automated recycling sorting – Complete Phd and Masters Thesis

[ad_1] Introduction Computer vision is a rapidly advancing field that holds great promise for revolutionizing various industries through automation and efficiency improvements. One such area where computer vision technology can be utilized is in the…

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Blockchain for decentralized peer-to-peer lending and borrowing – Complete Phd and Masters Thesis

Blockchain for decentralized peer-to-peer lending and borrowing – Complete Phd and Masters Thesis

[ad_1] Introduction Blockchain technology has revolutionized the way financial transactions are conducted, offering a decentralized and secure platform for peer-to-peer lending and borrowing. With the rise of fintech companies and platforms, there has been a…

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Edge computing for real-time multiplayer gaming – Complete Phd and Masters Thesis

Edge computing for real-time multiplayer gaming – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been a growing trend towards the use of edge computing in various industries, including the gaming sector. Edge computing refers to the practice of processing data closer to…

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Swarm intelligence for coordinated disaster response using drones – Complete Phd and Masters Thesis

Swarm intelligence for coordinated disaster response using drones – Complete Phd and Masters Thesis

[ad_1] Introduction Swarm intelligence is a rapidly growing field that draws inspiration from the collective behavior of social insects such as ants, bees, and termites to solve complex problems. Over the past decade, researchers have…

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Federated learning for privacy-preserving mobile device user behavior analysis – Complete Phd and Masters Thesis

Federated learning for privacy-preserving mobile device user behavior analysis – Complete Phd and Masters Thesis

[ad_1] Introduction Federated learning is a novel machine learning approach that enables model training on decentralized data sources without the need for centralizing raw data. This technique has gained significant attention in recent years due…

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Augmented reality for interactive product manuals and assembly instructions – Complete Phd and Masters Thesis

Augmented reality for interactive product manuals and assembly instructions – Complete Phd and Masters Thesis

[ad_1] Introduction Augmented reality (AR) has emerged as a groundbreaking technology that overlays digital information onto the physical world, offering new possibilities for interactive experiences. One area where AR has shown great potential is in…

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AI-powered demand forecasting for energy consumption – Complete Phd and Masters Thesis

AI-powered demand forecasting for energy consumption – Complete Phd and Masters Thesis

[ad_1] Introduction The global demand for energy continues to rise rapidly due to population growth and industrialization. This surge in energy consumption has put pressure on energy providers to efficiently forecast and manage demand in…

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Automated software vulnerability patching using AI – Complete Phd and Masters Thesis

Automated software vulnerability patching using AI – Complete Phd and Masters Thesis

[ad_1] Introduction Automated software vulnerability patching using artificial intelligence (AI) is a rapidly evolving field in cybersecurity that aims to improve the efficiency and effectiveness of patch management processes. Vulnerabilities in software systems are a…

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