[ad_1] Introduction: Memristors have emerged as a promising technology for implementing pattern recognition algorithms in computer vision due to their non-volatile memory and analog computing capabilities. This thesis aims to explore the potential of memristor-based…
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[ad_1] Introduction Quantum-dot solar cells have gained significant attention in recent years due to their potential to improve the efficiency and performance of traditional solar cells. By utilizing quantum dots, which are nanoscale semiconductor particles,…
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[ad_1] Introduction: Electromagnetic meta-surfaces have gained significant attention in recent years due to their ability to manipulate electromagnetic waves in unconventional ways. One particular application of interest is radar cross-section reduction, where meta-surfaces can be…
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[ad_1] Introduction Optoacoustic tomography (OAT) is an emerging imaging modality that combines the advantages of both optical and ultrasound imaging to provide high-resolution and deep-tissue imaging in medical applications. This technology has shown great potential…
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[ad_1] Introduction: In recent years, the concept of topological insulators has garnered significant attention in the field of condensed matter physics for their unique electronic properties. These materials are characterized by the presence of robust…
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[ad_1] **Introduction** Neuromorphic auditory scene analysis is an emerging research area that aims to develop biologically-inspired algorithms for processing auditory signals in a manner similar to the human auditory system. This field has gained significant…
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[ad_1] Introduction: Quantum-inspired particle swarm optimization (QPSO) is a cutting-edge optimization algorithm that combines principles from quantum computing and particle swarm optimization to create a powerful and efficient optimization technique. The integration of quantum mechanics…
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[ad_1] Introduction In recent years, deep learning has significantly advanced the field of image classification. Convolutional neural networks (CNNs) have shown remarkable success in various image recognition tasks, such as object detection, face recognition, and…
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[ad_1] Introduction: Memristor-based reservoir computing is a cutting-edge research area in the field of artificial intelligence and neuromorphic computing. The unique properties of memristors, such as non-volatility and low energy consumption, make them ideal candidates…
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[ad_1] Introduction Spintronic magnetic field sensors have gained significant attention in recent years due to their potential application in various fields such as navigation systems, automotive industry, and biomedical devices. These sensors utilize the spin…
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