[ad_1] Introduction Serverless computing architectures have gained significant attention in recent years due to their ability to provide scalable and cost-effective solutions for various applications. This thesis aims to explore the concept of serverless computing…
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[ad_1] Introduction Computer vision for facial recognition is a rapidly growing field within the realm of artificial intelligence and biometrics. It involves the development of algorithms and systems that can automatically identify individuals based on…
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[ad_1] Introduction In recent years, the rise of quantum computing has posed a potential threat to traditional cryptographic algorithms. These algorithms, such as RSA and ECC, rely on the difficulty of certain mathematical problems for…
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[ad_1] Introduction The emergence of Edge AI technology has revolutionized the field of real-time analytics by enabling data processing and analysis to be performed closer to the source of data, thereby reducing latency and increasing…
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[ad_1] Introduction Federated learning is a novel approach in the field of artificial intelligence (AI) that has gained significant attention in recent years due to its potential to solve privacy concerns associated with traditional centralized…
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[ad_1] Introduction on Secure Multi-party Computation Protocols Secure multi-party computation (MPC) protocols enable multiple parties to jointly compute a function while keeping their inputs private. This allows parties to collaborate on tasks without revealing sensitive…
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[ad_1] Introduction Quantum machine learning algorithms have gained significant attention in recent years due to their potential to revolutionize the field of machine learning by leveraging the principles of quantum mechanics. These algorithms have shown…
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[ad_1] Introduction Green computing strategies for data centers have become increasingly important due to the growing concerns over the environmental impact of data centers and the rising energy costs associated with running them. As the…
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[ad_1] Thesis Introduction: Neural networks have gained significant attention in recent years due to their ability to effectively model complex relationships in data. In the field of weather prediction, neural networks have shown promising results…
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[ad_1] Introduction Privacy-preserving data mining techniques play a crucial role in ensuring the protection of sensitive information while extracting useful knowledge from large datasets. With the increasing prevalence of data breaches and privacy concerns, it…
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