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Quantum machine learning for protein structure prediction – Complete Phd and Masters Thesis

Quantum machine learning for protein structure prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum machine learning has emerged as a cutting-edge technology that combines the principles of quantum mechanics and machine learning algorithms to solve complex computational problems. In recent years, quantum machine learning has shown…

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Generative models for synthetic training data in computer vision – Complete Phd and Masters Thesis

Generative models for synthetic training data in computer vision – Complete Phd and Masters Thesis

[ad_1] Introduction Generative models for synthetic training data in computer vision have gained significant attention in recent years due to their ability to generate large amounts of realistic training data for various computer vision tasks.…

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Augmented reality for immersive museum experiences – Complete Phd and Masters Thesis

Augmented reality for immersive museum experiences – Complete Phd and Masters Thesis

[ad_1] Introduction Augmented reality (AR) has become an increasingly popular technology in recent years, offering new and innovative ways for users to interact with their surroundings. In particular, AR has the potential to enhance museum…

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Automated software test case generation using machine learning – Complete Phd and Masters Thesis

Automated software test case generation using machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Automated software test case generation is a critical aspect of software development as it helps in identifying bugs and ensuring the reliability and functionality of the software. Traditional test case generation methods are…

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Virtual reality for post-traumatic stress disorder treatment – Complete Phd and Masters Thesis

Virtual reality for post-traumatic stress disorder treatment – Complete Phd and Masters Thesis

[ad_1] Introduction Virtual reality (VR) technology has shown great promise in the field of mental health treatment, particularly in the management of post-traumatic stress disorder (PTSD). PTSD is a mental health condition that can develop…

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Secure multi-party computation for privacy-preserving data analysis in smart cities – Complete Phd and Masters Thesis

Secure multi-party computation for privacy-preserving data analysis in smart cities – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: In recent years, the proliferation of smart cities has led to an abundance of data being generated from various sources such as sensors, mobile devices, and social media platforms. While this data…

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Explainable AI for algorithmic trading decisions – Complete Phd and Masters Thesis

Explainable AI for algorithmic trading decisions – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the use of artificial intelligence (AI) in algorithmic trading has become increasingly popular in financial markets. AI algorithms have the ability to analyze vast amounts of data at speeds beyond…

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Edge computing for smart lighting systems – Complete Phd and Masters Thesis

Edge computing for smart lighting systems – Complete Phd and Masters Thesis

[ad_1] Introduction Edge computing has emerged as a promising solution for improving the efficiency and performance of smart lighting systems. By bringing data processing and analysis closer to the source of data generation, edge computing…

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AI-driven software development process optimization – Complete Phd and Masters Thesis

AI-driven software development process optimization – Complete Phd and Masters Thesis

[ad_1] Introduction Artificial Intelligence (AI) has revolutionized various industries, including software development. AI-driven software development process optimization has become a significant area of research and development, as organizations strive to improve efficiency, productivity, and quality…

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Generative adversarial networks for voice conversion – Complete Phd and Masters Thesis

Generative adversarial networks for voice conversion – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate high-quality data, such as images, texts, and voices, using a generative model trained with a discriminative model.…

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