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Photonic integrated circuits for optical beamforming – Complete Phd and Masters Thesis

Photonic integrated circuits for optical beamforming – Complete Phd and Masters Thesis

[ad_1] Introduction: Photonic integrated circuits (PICs) are revolutionizing the field of optics by providing compact, efficient, and scalable solutions for various applications. One of the key applications of PICs is optical beamforming, which plays a…

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Neuromorphic sensor fusion for smart home applications – Complete Phd and Masters Thesis

Neuromorphic sensor fusion for smart home applications – Complete Phd and Masters Thesis

[ad_1] Introduction The rapid advancements in technology have paved the way for the development of innovative solutions to enhance the quality of life, particularly in the context of smart home applications. Neuromorphic sensor fusion, a…

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Acoustic meta-surfaces for acoustic lenses – Complete Phd and Masters Thesis

Acoustic meta-surfaces for acoustic lenses – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Acoustic meta-surfaces have gained significant attention in recent years due to their ability to manipulate sound waves in unprecedented ways. In particular, acoustic meta-surfaces have been used to design and fabricate acoustic…

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Photonic topological insulators for robust waveguides – Complete Phd and Masters Thesis

Photonic topological insulators for robust waveguides – Complete Phd and Masters Thesis

[ad_1] Introduction Photonic topological insulators have gained significant attention in recent years due to their unique ability to guide light along the edges of a material while blocking light from propagating through the bulk. This…

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Quantum-dot phototransistors – Complete Phd and Masters Thesis

Quantum-dot phototransistors – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-dot phototransistors are a promising technology that has shown great potential for applications in optoelectronics, such as photon detection, imaging, and communication systems. These devices offer advantages such as high sensitivity, low noise,…

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Neuromorphic multisensory fusion for autonomous robots – Complete Phd and Masters Thesis

Neuromorphic multisensory fusion for autonomous robots – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in developing autonomous robots that can perceive and interact with their environment in a more human-like manner. One key challenge in achieving this goal…

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Electromagnetic meta-surfaces for holographic displays – Complete Phd and Masters Thesis

Electromagnetic meta-surfaces for holographic displays – Complete Phd and Masters Thesis

[ad_1] Introduction Electromagnetic meta-surfaces have gained significant attention in recent years due to their ability to manipulate electromagnetic waves with subwavelength precision. This has opened up new possibilities in various applications such as holographic displays,…

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Spin Seebeck effect magnetic field sensors – Complete Phd and Masters Thesis

Spin Seebeck effect magnetic field sensors – Complete Phd and Masters Thesis

[ad_1] Introduction The Spin Seebeck effect (SSE) is a relatively new and intriguing phenomenon that has attracted significant attention in the field of spin caloritronics. This effect involves the generation of a spin current due…

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Memristor-based in-memory computing for edge AI – Complete Phd and Masters Thesis

Memristor-based in-memory computing for edge AI – Complete Phd and Masters Thesis

[ad_1] Introduction The rapid growth of artificial intelligence (AI) applications in recent years has led to an increasing demand for more efficient computing systems. Traditional von Neumann architectures are facing limitations in terms of data…

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Photonic neuromorphic processors for speech recognition – Complete Phd and Masters Thesis

Photonic neuromorphic processors for speech recognition – Complete Phd and Masters Thesis

[ad_1] Introduction Speech recognition is a critical component in many applications such as artificial intelligence, smart speakers, and voice-controlled devices. Traditional speech recognition systems rely on digital processors to process and analyze speech signals, which…

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