[ad_1] Introduction The growing popularity of multimedia data such as images, videos, and text has propelled the need for effective cross-modal information retrieval systems. Cross-modal information retrieval aims to retrieve relevant information across different types…
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[ad_1] Introduction Quantum key distribution (QKD) is a cutting-edge technology that utilizes principles of quantum mechanics to establish secure communication channels. With the increasing reliance on digital systems in industrial control systems, the need for…
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[ad_1] Introduction Neuromorphic computing is a rapidly advancing field that seeks to mimic the biological neural networks of the brain in order to create more efficient and adaptable computing systems. This technology has the potential…
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[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 Generative adversarial networks (GANs) have gained significant attention in the field of artificial intelligence and computer vision for their ability to generate realistic images. In recent years, GANs have been successfully applied to…
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[ad_1] Thesis Overview: In recent years, deep learning models have shown remarkable success in various applications such as image recognition, speech recognition, and natural language processing. However, the widespread adoption of these models raises concerns…
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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 Decentralized data marketplaces have emerged as a revolutionary solution for the exchange of data in a secure and transparent manner. Utilizing blockchain technology, these marketplaces provide users with a platform to buy, sell,…
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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 Zero-shot learning is a cutting-edge technique in machine learning that aims to address the challenge of classifying unseen classes without any prior training data. In the context of text classification, zero-shot learning involves…
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