[ad_1] Introduction Neuromorphic auditory feature extraction is a rapidly growing field that focuses on mimicking the human auditory system to extract features from sound signals. This approach leverages the power of neural networks to process…
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[ad_1] Introduction In recent years, electromagnetic meta-surfaces have gained significant attention in the field of smart antennas due to their ability to manipulate electromagnetic waves in unprecedented ways. These meta-surfaces are made up of sub-wavelength…
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[ad_1] Introduction Quantum-inspired gravitational search algorithms (QGSA) are a class of optimization algorithms that are inspired by both quantum computing principles and the gravitational search algorithm. These algorithms have gained popularity in recent years due…
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[ad_1] Introduction In recent years, there has been a growing interest in the study of spin-wave magnonic crystals due to their potential applications in spintronics and magnonics devices. Spin-wave magnonic crystals are periodic arrays of…
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[ad_1] Introduction Quantum sensing with color centers in diamond is an emerging field that has shown promising results for applications in high-precision sensing and imaging. Color centers in diamond, such as nitrogen-vacancy (NV) centers, have…
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[ad_1] Introduction Optogenetics is a cutting-edge technology that enables precise control of biological processes using light. In recent years, researchers have been exploring the use of optogenetics to manipulate gene expression with high spatial and…
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[ad_1] Introduction: Photonic neuromorphic signal processing has emerged as a promising technology for a wide range of applications, including RF signal processing. By leveraging the unique properties of both photonics and neuromorphic computing, this technology…
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[ad_1] Introduction Thermoelectric coolers have gained attention in recent years for their potential applications in various fields such as electronics, aerospace, and medical industries. Quantum dots, on the other hand, have unique electronic and optical…
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[ad_1] Introduction Neuromorphic robotic locomotion control is a rapidly evolving field of research that focuses on integrating neuromorphic principles into robotic systems to enable more efficient and adaptive locomotion capabilities. By drawing inspiration from the…
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[ad_1] Introduction Quantum-inspired differential evolution algorithms have gained increasing attention in recent years due to their ability to effectively solve optimization problems inspired by principles of quantum mechanics. These algorithms combine the flexibility and efficiency…
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