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Edge computing for real-time video analytics – Complete Phd and Masters Thesis

Edge computing for real-time video analytics – Complete Phd and Masters Thesis

[ad_1] Introduction Edge computing is a paradigm that brings computation and data storage closer to the source of data generation, enabling real-time processing and analysis. In recent years, the increasing popularity of real-time video analytics…

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Federated learning for privacy-preserving health monitoring – Complete Phd and Masters Thesis

Federated learning for privacy-preserving health monitoring – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a significant increase in the use of wearable devices and mobile applications for health monitoring. These devices and apps collect a vast amount of personal health data,…

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Augmented reality for assembly line worker assistance – Complete Phd and Masters Thesis

Augmented reality for assembly line worker assistance – Complete Phd and Masters Thesis

[ad_1] Introduction: Augmented reality (AR) technology has gained significant attention in recent years for its potential to enhance productivity and efficiency in various industries. One area where AR holds great promise is in assisting assembly…

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Quantum algorithms for molecular dynamics simulation – Complete Phd and Masters Thesis

Quantum algorithms for molecular dynamics simulation – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum computing has emerged as a promising approach for solving complex computational problems that are intractable for classical computers. In the field of molecular dynamics simulation, quantum algorithms offer the potential to significantly…

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Swarm intelligence for collaborative space exploration – Complete Phd and Masters Thesis

Swarm intelligence for collaborative space exploration – Complete Phd and Masters Thesis

[ad_1] Introduction Swarm intelligence is a field of study that draws inspiration from the collective behavior of organisms in nature, such as ants, bees, and birds, to develop algorithms and techniques for solving complex optimization…

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Deep learning for personalized cancer treatment planning – Complete Phd and Masters Thesis

Deep learning for personalized cancer treatment planning – Complete Phd and Masters Thesis

[ad_1] Introduction Cancer continues to be a leading cause of death worldwide, with millions of new cases diagnosed each year. Personalized cancer treatment planning, which involves tailoring treatment strategies based on the individual characteristics of…

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Automated software security vulnerability detection using machine learning – Complete Phd and Masters Thesis

Automated software security vulnerability detection using machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction The increasing complexity and interconnectedness of software systems have led to a rise in security vulnerabilities that can be exploited by malicious individuals. Traditional manual security testing methods are time-consuming and error-prone, making…

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Quantum sensing for early earthquake detection – Complete Phd and Masters Thesis

Quantum sensing for early earthquake detection – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum sensing has emerged as a promising technology for various applications, including early earthquake detection. Earthquakes are natural disasters that can cause significant damage and loss of life. Traditional methods of earthquake detection…

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Secure edge computing for industrial control systems – Complete Phd and Masters Thesis

Secure edge computing for industrial control systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the rapid advancement in technology has led to the integration of industrial control systems (ICS) with edge computing, which has the potential to revolutionize the way industrial processes are managed…

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Deep reinforcement learning for adaptive traffic signal control – Complete Phd and Masters Thesis

Deep reinforcement learning for adaptive traffic signal control – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic congestion is a major problem faced by urban areas worldwide, leading to wasted time, increased fuel consumption, and negative environmental impacts. Traditional traffic signal control systems are often static and unable to…

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