[ad_1] Introduction: Quantum key distribution (QKD) is a method of secure communication that utilizes the principles of quantum mechanics to generate and distribute cryptographic keys. With the rise of quantum computing and the potential threat…
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[ad_1] Introduction Distributed ledger technology (DLT), which emerged as the underlying technology of cryptocurrencies like Bitcoin, has gained significant attention in recent years. Particularly, the application of DLT in decentralized finance (DeFi) has the potential…
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[ad_1] Introduction Serverless computing is a cloud-computing execution model that allows users to build and run applications and services without the burden of managing infrastructure. This model abstracts away the complexity of server management, allowing…
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[ad_1] Introduction In recent years, deep learning has become a popular and powerful approach for solving complex machine learning problems, including time series forecasting. However, one of the main challenges with deep learning models is…
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[ad_1] Introduction: Quantum computing has the potential to revolutionize the field of cryptography by breaking many of the commonly used encryption schemes. As quantum computers become more powerful, it is crucial to develop secure multi-party…
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[ad_1] Introduction Quantum machine learning (QML) has emerged as an interdisciplinary field that combines quantum physics and machine learning techniques to solve complex computational problems. One of the key areas of research in QML is…
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[ad_1] Introduction Machine learning algorithms are increasingly being used in a variety of applications, including loan default prediction. However, the black-box nature of many machine learning models makes it challenging to understand the reasons behind…
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[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: 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 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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