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Design of high-efficiency electric power conditioning systems – Complete Phd and Masters Thesis

Design of high-efficiency electric power conditioning systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the demand for high-efficiency electric power conditioning systems has increased significantly due to the growing need for clean and reliable energy sources. Electric power conditioning systems play a crucial role…

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Development of power system voltage stability enhancement techniques – Complete Phd and Masters Thesis

Development of power system voltage stability enhancement techniques – Complete Phd and Masters Thesis

[ad_1] Introduction Power system voltage stability is a critical aspect of power system operation, ensuring the reliable delivery of electricity to consumers. With the increasing integration of renewable energy sources and the modernization of power…

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Acoustic holography for material characterization – Complete Phd and Masters Thesis

Acoustic holography for material characterization – Complete Phd and Masters Thesis

[ad_1] Introduction Acoustic holography is a powerful technique that has been widely used in various fields, including medical imaging, non-destructive testing, and material characterization. This technique allows for the visualization of sound fields and the…

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Photonic quantum walks for simulation – Complete Phd and Masters Thesis

Photonic quantum walks for simulation – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum walks are an important tool in quantum computing and simulation, as they provide a way to explore complex quantum systems efficiently. Photonic quantum walks, in particular, have emerged as a promising platform…

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Neuromorphic event-based motion sensors – Complete Phd and Masters Thesis

Neuromorphic event-based motion sensors – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic event-based motion sensors are a cutting-edge technology that mimics the human brain’s ability to process visual information in real-time. These sensors have the potential to revolutionize various fields, including robotics, computer vision,…

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Quantum sensing with nitrogen-vacancy centers in nanodiamonds – Complete Phd and Masters Thesis

Quantum sensing with nitrogen-vacancy centers in nanodiamonds – Complete Phd and Masters Thesis

[ad_1] Introduction Recent advancements in nanotechnology have opened up new possibilities in the field of quantum sensing, particularly with the use of nitrogen-vacancy (NV) centers in nanodiamonds. Quantum sensing with NV centers offers high sensitivity…

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Spin-wave multiplexers for signal routing – Complete Phd and Masters Thesis

Spin-wave multiplexers for signal routing – Complete Phd and Masters Thesis

[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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Memristor-based physically unclonable functions – Complete Phd and Masters Thesis

Memristor-based physically unclonable functions – Complete Phd and Masters Thesis

[ad_1] Introduction Memristor-based physically unclonable functions (PUFs) have gained significant attention in recent years due to their unique properties that can be used for secure authentication and encryption purposes. By leveraging the inherent variability in…

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Terahertz on-chip sources – Complete Phd and Masters Thesis

Terahertz on-chip sources – Complete Phd and Masters Thesis

[ad_1] Introduction The development of Terahertz (THz) on-chip sources has garnered significant interest in recent years due to their potential applications in various fields such as communication, imaging, and sensing. The ability to generate THz…

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Optical neural networks for optimization problems – Complete Phd and Masters Thesis

Optical neural networks for optimization problems – Complete Phd and Masters Thesis

[ad_1] Introduction Optical neural networks have emerged as an exciting technology with the potential to revolutionize optimization problems. This thesis explores the application of optical neural networks for solving optimization problems in various fields such…

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