[ad_1] Introduction With the proliferation of data in today’s digital age, privacy concerns have become increasingly important. This is particularly true for graph data, which often contains sensitive information about individuals and organizations. In order…
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[ad_1] Introduction: The field of graph neural networks has emerged as a powerful tool for analyzing and processing complex data with graph structures. In recent years, there has been a growing interest in using graph…
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[ad_1] Introduction In recent years, sentiment analysis has gained significant attention in various application domains such as social media, e-commerce, and customer feedback analysis. Sentiment analysis aims to identify and extract subjective information from textual…
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[ad_1] Introduction Neuromorphic computing has emerged as a promising approach to developing brain-inspired computing systems that mimic the behavior of the human brain. Spiking neural networks, which are based on the principles of biological neural…
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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 Zero-knowledge proofs have gained significant attention in recent years for their potential to enhance privacy in various applications, including smart metering systems. Smart meters are essential components of modern energy grids, providing real-time…
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[ad_1] Introduction: Self-driving vehicles are an emerging technology that has the potential to transform transportation systems and improve road safety. Reinforcement learning, a subset of machine learning, plays a crucial role in enabling these vehicles…
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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 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 As the digital world continues to expand rapidly, the issue of digital rights management (DRM) has become increasingly important. DRM refers to the technological protection and control measures implemented by content creators to…
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