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Quantum-inspired optimization for antenna design – Complete Phd and Masters Thesis

Quantum-inspired optimization for antenna design – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization algorithms have gained significant attention in recent years due to their ability to efficiently solve complex optimization problems inspired by quantum mechanics principles. In the field of antenna design, optimization plays…

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Memristor-based neuromorphic vision systems – Complete Phd and Masters Thesis

Memristor-based neuromorphic vision systems – Complete Phd and Masters Thesis

[ad_1] Introduction Memristor-based neuromorphic vision systems have gained significant attention in recent years due to their potential for revolutionizing artificial intelligence and machine learning applications. These systems are inspired by the human brain’s ability to…

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Acoustic meta-surfaces for ultrasound imaging – Complete Phd and Masters Thesis

Acoustic meta-surfaces for ultrasound imaging – Complete Phd and Masters Thesis

[ad_1] Introduction Ultrasound imaging is a widely used medical imaging technique that uses high-frequency sound waves to produce images of the inside of the body. Acoustic meta-surfaces have recently emerged as a promising technology for…

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Spin-transfer torque oscillators – Complete Phd and Masters Thesis

Spin-transfer torque oscillators – Complete Phd and Masters Thesis

[ad_1] Introduction Spin-transfer torque oscillators (STOs) have gained significant attention in recent years due to their potential applications in microwave and nanoscale devices. These devices utilize the spin-transfer torque effect, where the orientation of a…

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Terahertz quantum well photodetectors – Complete Phd and Masters Thesis

Terahertz quantum well photodetectors – Complete Phd and Masters Thesis

[ad_1] Introduction Terahertz quantum well photodetectors have gained significant research interest in recent years due to their potential applications in various fields such as imaging, spectroscopy, and communication. These photodetectors offer several advantages over traditional…

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Neuromorphic multisensory integration systems – Complete Phd and Masters Thesis

Neuromorphic multisensory integration systems – Complete Phd and Masters Thesis

[ad_1] Introduction: Advancements in artificial intelligence and neuroscience have led to the development of Neuromorphic multisensory integration systems, which aim to mimic the brain’s ability to integrate multiple sensory inputs in real-time. These systems have…

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Electromagnetic tissue spectroscopy – Complete Phd and Masters Thesis

Electromagnetic tissue spectroscopy – Complete Phd and Masters Thesis

[ad_1] Introduction: Electromagnetic tissue spectroscopy is a rapidly advancing field of research that combines electromagnetic techniques with spectroscopic analysis to study the properties of biological tissues. This emerging technology has significant potential for non-invasive medical…

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Quantum key distribution protocols – Complete Phd and Masters Thesis

Quantum key distribution protocols – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum key distribution (QKD) protocols have emerged as a promising solution for secure communication in the era of increasing cyber threats. By leveraging the principles of quantum mechanics, QKD protocols enable parties to…

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Spin-wave logic circuits – Complete Phd and Masters Thesis

Spin-wave logic circuits – Complete Phd and Masters Thesis

[ad_1] Introduction Spin-wave logic circuits are emerging as a promising alternative to conventional semiconductor-based logic circuits due to their potential for ultra-low power consumption and high-speed operation. Spin waves, also known as magnons, are collective…

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Photonic reservoir computing for time series prediction – Complete Phd and Masters Thesis

Photonic reservoir computing for time series prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been a growing interest in the field of reservoir computing for time series prediction. Reservoir computing is a paradigm of machine learning that utilizes a dynamical system, known…

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