[ad_1] Introduction In today’s digital age, the amount of data generated through social networks is enormous, making it an invaluable resource for researchers in various fields such as sociology, computer science, and economics. However, this…
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[ad_1] Introduction Quantum technologies have become increasingly important in a wide range of scientific fields, with applications in quantum computing, quantum communication, and quantum metrology. Quantum error correction is crucial for the implementation of reliable…
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[ad_1] Introduction: Zero-shot learning for semantic segmentation is a cutting-edge research topic in the field of computer vision, with the potential to revolutionize the way we approach image segmentation tasks. Traditional semantic segmentation methods require…
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[ad_1] Introduction: Fake news has become a pervasive issue in today’s society, with the spread of misinformation and disinformation on social media platforms posing significant challenges to the public discourse and democratic processes. As the…
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[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 Distributed ledger technology (DLT) has gained significant attention in recent years as a promising solution for decentralized file storage. The traditional centralized file storage systems are prone to data breaches, hacking, and censorship,…
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[ad_1] Introduction With the increasing use of cloud computing and outsourced data processing, the need for secure methods of handling sensitive data has become more crucial. Homomorphic encryption is a promising solution that allows for…
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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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