[ad_1] Introduction In recent years, blockchain technology has been widely adopted for various applications such as cryptocurrencies, supply chain management, and voting systems. One of the key components of a blockchain system is the consensus…
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[ad_1] Introduction The agricultural sector plays a crucial role in ensuring food security and sustainable development worldwide. With the global population expected to reach over 9 billion by 2050, there is a pressing need to…
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[ad_1] Introduction Attribute-based encryption (ABE) is a type of encryption that allows fine-grained access control to encrypted data. It enables data owners to specify access policies based on attributes, such as “age”, “role”, or “department”,…
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[ad_1] Introduction Computer vision has emerged as a powerful tool in various applications, including autonomous drone navigation. Drones have become increasingly popular in recent years for tasks such as surveillance, search and rescue, and delivery…
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[ad_1] Introduction The increasing prevalence of data breaches and privacy concerns in the era of big data analytics has propelled the need for privacy-preserving machine learning techniques. Federated learning has emerged as a promising approach…
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[ad_1] Introduction Automated software performance optimization is a critical area of research in the field of software engineering. With the increasing complexity of software systems and the demand for high performance applications, there is a…
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[ad_1] Introduction In recent years, Artificial Intelligence (AI) has been increasingly used in critical systems such as autonomous vehicles, medical diagnosis, and financial trading. However, the lack of transparency and interpretability in AI algorithms has…
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[ad_1] Introduction Swarm intelligence is a rapidly growing research field that draws inspiration from the collective behavior of social insects such as ants, bees, and termites. These insects exhibit complex behaviors, such as foraging for…
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[ad_1] Introduction: Collaborative filtering is a widely used technique in recommendation systems, which is designed to predict a user’s preferences for a particular item based on the preferences of other users with similar tastes. However,…
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[ad_1] Introduction In recent years, personalized recommendations have become an essential aspect of online services such as e-commerce platforms, streaming services, and social media platforms. These recommendations help users discover relevant content, products, or services…
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