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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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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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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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Optoacoustic microscopy for brain imaging – Complete Phd and Masters Thesis

Optoacoustic microscopy for brain imaging – Complete Phd and Masters Thesis

[ad_1] Introduction Optoacoustic microscopy is a cutting-edge imaging technique that combines the high spatial resolution of optical microscopy with the penetration depth of ultrasound imaging. This technique has shown great promise in the field of…

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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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Acoustic metamaterials for vibration isolation in MEMS – Complete Phd and Masters Thesis

Acoustic metamaterials for vibration isolation in MEMS – Complete Phd and Masters Thesis

[ad_1] Introduction Micro electro mechanical systems (MEMS) have become increasingly important in various fields such as sensing, actuation, and communication due to their small size, low power consumption, and high performance. However, MEMS devices are…

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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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Neuromorphic vestibular sensing for drones – Complete Phd and Masters Thesis

Neuromorphic vestibular sensing for drones – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic vestibular sensing is a cutting-edge technology that mimics the biological sensory system found in animals, particularly in the vestibular system of the inner ear. This technology has gained significant interest in recent…

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Electromagnetic hyperthermia for nanoparticle-mediated therapy – Complete Phd and Masters Thesis

Electromagnetic hyperthermia for nanoparticle-mediated therapy – Complete Phd and Masters Thesis

[ad_1] Introduction Electromagnetic hyperthermia for nanoparticle-mediated therapy is a promising approach in the field of cancer treatment. By using electromagnetic waves to heat nanoparticles specifically targeted to cancer cells, this technique has the potential to…

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Quantum-inspired firefly algorithms – Complete Phd and Masters Thesis

Quantum-inspired firefly algorithms – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum-inspired firefly algorithms have emerged as a promising computational technique for optimization problems in recent years. Inspired by the natural behavior of fireflies, these algorithms mimic the synchronous flashing of fireflies to search…

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