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Spintronic magnetic field sensors based on tunneling magnetoresistance – Complete Phd and Masters Thesis

Spintronic magnetic field sensors based on tunneling magnetoresistance – Complete Phd and Masters Thesis

[ad_1] Introduction Spintronic magnetic field sensors based on tunneling magnetoresistance have gained significant attention in recent years due to their high sensitivity and low power consumption. These sensors utilize the tunneling magnetoresistance effect, where the…

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Neuromorphic multisensory integration for robotics – Complete Phd and Masters Thesis

Neuromorphic multisensory integration for robotics – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic multisensory integration for robotics is a cutting-edge field that combines the principles of neuroscience and robotics to develop intelligent robots capable of processing multiple sensory inputs in a manner similar to the…

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Electromagnetic meta-surfaces for smart surfaces – Complete Phd and Masters Thesis

Electromagnetic meta-surfaces for smart surfaces – 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 at the subwavelength scale. These surfaces consist of arrays of subwavelength structures that interact with incident…

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Memristor-based logic-in-memory architectures – Complete Phd and Masters Thesis

Memristor-based logic-in-memory architectures – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the development of novel computing architectures that can overcome the limitations of traditional von Neumann architectures. Memristors, a fourth fundamental circuit element, have…

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Acoustic metamaterials for noise barriers – Complete Phd and Masters Thesis

Acoustic metamaterials for noise barriers – Complete Phd and Masters Thesis

[ad_1] Introduction Noise pollution is a major environmental concern that affects millions of people worldwide. One effective way to mitigate noise pollution is through the use of noise barriers. Traditional noise barriers, however, have limitations…

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Quantum-inspired evolutionary strategies – Complete Phd and Masters Thesis

Quantum-inspired evolutionary strategies – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired evolutionary strategies combine concepts from quantum computing and evolutionary algorithms to create powerful optimization techniques. These strategies have shown promise in solving complex optimization problems in various fields including machine learning, finance,…

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Spin-wave multiplexing and demultiplexing – Complete Phd and Masters Thesis

Spin-wave multiplexing and demultiplexing – Complete Phd and Masters Thesis

[ad_1] Introduction: Spin-wave multiplexing and demultiplexing is a promising technique for increasing the data transmission capacity in magnetic materials. Spin waves, also known as magnons, are collective excitations of electron spins in magnetic materials that…

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Photonic reservoir computing for nonlinear signal processing – Complete Phd and Masters Thesis

Photonic reservoir computing for nonlinear signal processing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, with the advancement of technology, there is an increasing demand for efficient and fast signal processing techniques to handle the ever-growing amount of data. Photonic reservoir computing has emerged as…

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Quantum-dot intermediate band solar cells for high efficiency – Complete Phd and Masters Thesis

Quantum-dot intermediate band solar cells for high efficiency – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the development of more efficient solar cells to harness the vast amount of solar energy available to us. Quantum-dot intermediate band solar cells…

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Neuromorphic visual attention models – Complete Phd and Masters Thesis

Neuromorphic visual attention models – Complete Phd and Masters Thesis

[ad_1] Introduction: Neuromorphic visual attention models have gained significant attention in recent years due to their potential to mimic the visual processing mechanisms of the human brain. These models aim to replicate the selective attention…

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