[ad_1] Introduction Serverless computing has emerged as a promising solution for executing scientific workflows in a cost-effective and scalable manner. By abstracting away the infrastructure management, serverless computing enables researchers to focus on developing and…
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[ad_1] Introduction Quantum machine learning has emerged as a promising field that combines the principles of quantum mechanics and machine learning to solve complex problems efficiently. In this study, we focus on the application of…
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[ad_1] Introduction Quantum-inspired optimization is a cutting-edge computational technique that leverages principles from quantum mechanics to solve complex optimization problems. In recent years, researchers have been exploring the potential of quantum-inspired optimization algorithms for various…
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[ad_1] Introduction In recent years, there has been a growing interest in multi-modal learning for audio-visual speech recognition. This approach leverages both auditory and visual cues to improve the accuracy of speech recognition systems, particularly…
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[ad_1] Introduction In today’s digital age, the collection and analysis of personal data have become ubiquitous. With the rise of recommendation systems that utilize personal data to provide personalized recommendations, there is a growing concern…
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[ad_1] Introduction: In recent years, there has been an increasing focus on intelligent energy management systems that can optimize energy usage and reduce waste. One promising approach to achieving this goal is through the use…
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[ad_1] Introduction Quantum key distribution (QKD) is a revolutionary technology that uses the principles of quantum mechanics to provide secure communication channels. With the increasing reliance on mobile communication devices for sensitive transactions and data…
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[ad_1] Introduction Neuromorphic computing is a cutting-edge technology that mimics the structure and function of the human brain using electronic circuits. This emerging field has shown great potential in revolutionizing artificial intelligence and computer vision…
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[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate high-quality images. In particular, GANs have shown promise in the field of image super-resolution, which aims to…
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[ad_1] Introduction Airport gate assignment is a crucial logistical problem in airport operations, as it directly impacts the efficiency of the entire airport system. The assignment of gates to arriving and departing flights plays a…
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