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

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

[ad_1] Introduction Acoustic meta-surfaces have gained significant attention in recent years due to their ability to manipulate sound waves with unprecedented control and precision. One particular application of acoustic meta-surfaces is the generation of acoustic…

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Terahertz plasmonic terahertz-to-optical conversion – Complete Phd and Masters Thesis

Terahertz plasmonic terahertz-to-optical conversion – Complete Phd and Masters Thesis

[ad_1] **Introduction** Terahertz plasmonic terahertz-to-optical conversion has emerged as a promising technology for various applications, including communication systems, medical imaging, and security screening. This technology utilizes the unique properties of plasmonic materials to manipulate terahertz…

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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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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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Photonic neuromorphic processors for edge computing – Complete Phd and Masters Thesis

Photonic neuromorphic processors for edge computing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the demand for intelligent edge computing devices has been rapidly increasing due to the exponential growth of data generated by various Internet of Things (IoT) applications. Traditional computing systems are…

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Spin-transfer torque magnetic random access memory – Complete Phd and Masters Thesis

Spin-transfer torque magnetic random access memory – Complete Phd and Masters Thesis

[ad_1] Introduction Spin-transfer torque magnetic random access memory (STT-MRAM) is a promising emerging non-volatile memory technology that possesses numerous advantages over traditional memory technologies such as faster read/write speeds, lower power consumption, and higher endurance.…

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Terahertz wireless communication systems – Complete Phd and Masters Thesis

Terahertz wireless communication systems – Complete Phd and Masters Thesis

[ad_1] Introduction Terahertz (THz) wireless communication systems have emerged as a promising technology for achieving high data rates and ultra-low latency communication in future wireless networks. The use of THz frequencies, which lie between the…

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Neuromorphic vestibular sensing for balance control – Complete Phd and Masters Thesis

Neuromorphic vestibular sensing for balance control – Complete Phd and Masters Thesis

[ad_1] Introduction Balance control is a crucial aspect of human motor function, essential for everyday activities such as walking, standing, and even simple tasks like reaching for objects. The vestibular system, located in the inner…

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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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