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Memristor-based analog multipliers – Complete Phd and Masters Thesis

Memristor-based analog multipliers – Complete Phd and Masters Thesis

[ad_1] Introduction: With the increasing demand for high-speed and low-power analog signal processing in various applications such as neural networks, signal processing, and communication systems, there is a growing need for efficient analog multiplier circuits.…

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Spintronic skyrmion-based logic gates – Complete Phd and Masters Thesis

Spintronic skyrmion-based logic gates – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, spintronics has emerged as a promising technology for the development of next-generation computing devices. Skyrmions, which are topologically stable magnetic spin textures, have attracted significant interest due to their potential…

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Terahertz metamaterial biosensors – Complete Phd and Masters Thesis

Terahertz metamaterial biosensors – Complete Phd and Masters Thesis

[ad_1] Introduction Terahertz (THz) metamaterial biosensors have gained significant attention in recent years due to their potential applications in biomedical and pharmaceutical fields. These sensors offer unique advantages such as high sensitivity, label-free detection, and…

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Neuromorphic visual processing for augmented reality – Complete Phd and Masters Thesis

Neuromorphic visual processing for augmented reality – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic visual processing has gained significant interest in recent years due to its potential applications in augmented reality. This cutting-edge technology aims to mimic the human brain’s ability to process visual information in…

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

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

[ad_1] Introduction: Spin-orbit torque magnetic random access memory (SOT-MRAM) is a promising emerging non-volatile memory technology that has gained significant attention in recent years due to its potential for high speed, low power consumption, and…

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Memristor-based neuromorphic learning for adaptive control – Complete Phd and Masters Thesis

Memristor-based neuromorphic learning for adaptive control – Complete Phd and Masters Thesis

[ad_1] Introduction Memristor-based neuromorphic learning has emerged as a promising approach for adaptive control in recent years. This technology combines the principles of memristors, which are non-linear passive devices that can remember and change their…

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

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

[ad_1] Introduction Acoustic meta-surfaces have gained significant attention in recent years for their potential applications in various fields such as ultrasonic imaging. These surfaces are engineered to manipulate sound waves in ways that are not…

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Quantum-dot light-emitting diodes for near-infrared applications – Complete Phd and Masters Thesis

Quantum-dot light-emitting diodes for near-infrared applications – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-dot light-emitting diodes (QLEDs) have gained significant attention in recent years due to their potential for use in near-infrared applications. By utilizing the unique optical and electronic properties of quantum dots, QLEDs offer…

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Analysis of power system stability with electric vehicles – Complete Phd and Masters Thesis

Analysis of power system stability with electric vehicles – Complete Phd and Masters Thesis

[ad_1] Introduction The integration of electric vehicles (EVs) into the power grid has gained significant attention in recent years due to their potential to reduce greenhouse gas emissions and reliance on fossil fuels. However, the…

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Implementation of coordinated control in power systems – Complete Phd and Masters Thesis

Implementation of coordinated control in power systems – Complete Phd and Masters Thesis

[ad_1] Introduction The implementation of coordinated control in power systems has become a crucial area of research in recent years. As power systems become more complex and interconnected, the need for effective coordination among various…

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