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Edge AI for smart retail inventory management – Complete Phd and Masters Thesis

Edge AI for smart retail inventory management – Complete Phd and Masters Thesis

[ad_1] Introduction The use of Artificial Intelligence (AI) in the retail industry has seen significant growth in recent years, revolutionizing the way businesses manage their operations. One of the key areas where AI is making…

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Reinforcement learning for autonomous trading algorithms – Complete Phd and Masters Thesis

Reinforcement learning for autonomous trading algorithms – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the application of reinforcement learning techniques to develop autonomous trading algorithms in financial markets. These algorithms are designed to make trading decisions without…

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Secure cloud-based virtual desktop infrastructure – Complete Phd and Masters Thesis

Secure cloud-based virtual desktop infrastructure – Complete Phd and Masters Thesis

[ad_1] Introduction Advancements in technology have revolutionized the way we work and access information. One of the most significant developments in recent years is the adoption of cloud-based virtual desktop infrastructure (VDI). Secure cloud-based VDI…

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Computer vision for facial recognition in public spaces – Complete Phd and Masters Thesis

Computer vision for facial recognition in public spaces – Complete Phd and Masters Thesis

[ad_1] Introduction Computer vision for facial recognition in public spaces has become an increasingly prevalent and controversial topic in recent years. With advancements in technology, governments and private companies are implementing facial recognition systems in…

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AI-driven network security orchestration and automation – Complete Phd and Masters Thesis

AI-driven network security orchestration and automation – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s fast-paced digital world, cyber threats are constantly evolving and becoming more sophisticated, posing a significant challenge to organizations’ network security. Traditional manual network security approaches are no longer sufficient to defend…

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Edge computing for connected and autonomous vehicles – Complete Phd and Masters Thesis

Edge computing for connected and autonomous vehicles – Complete Phd and Masters Thesis

[ad_1] Introduction Edge computing has emerged as a key technology in the realm of connected and autonomous vehicles, offering the potential to enhance the performance and efficiency of next-generation automotive systems. By enabling data processing…

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Explainable AI for automated resume screening – Complete Phd and Masters Thesis

Explainable AI for automated resume screening – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of artificial intelligence (AI) systems in the recruitment process has become increasingly popular. These systems help to automate the initial screening of resumes, saving time for recruiters and…

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Generative AI for synthetic training data creation – Complete Phd and Masters Thesis

Generative AI for synthetic training data creation – Complete Phd and Masters Thesis

[ad_1] Introduction Generative AI has gained significant attention in recent years for its ability to create synthetic data for training machine learning models. This technology opens up new possibilities for various applications in computer vision,…

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Edge AI for smart home energy management – Complete Phd and Masters Thesis

Edge AI for smart home energy management – Complete Phd and Masters Thesis

[ad_1] Introduction: With the increasing popularity of smart home technology, the demand for efficient energy management systems is also on the rise. Edge artificial intelligence (AI) has emerged as a promising solution to optimize energy…

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

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

[ad_1] Introduction In today’s rapidly evolving retail landscape, demand forecasting has become increasingly essential for businesses to optimize inventory management, reduce costs, and improve customer satisfaction. Traditional forecasting methods often fall short in accurately predicting…

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