[ad_1] Introduction Blockchain technology has gained significant attention in recent years due to its potential to revolutionize various industries such as finance, healthcare, supply chain management, and more. One of the areas where blockchain has…
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[ad_1] Introduction Artificial Intelligence (AI) has emerged as a powerful tool for addressing complex challenges in various fields, including climate change mitigation. As the threats of climate change continue to escalate, there is a growing…
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[ad_1] Introduction Natural language processing (NLP) has emerged as a crucial field in the domain of information retrieval, especially in question answering systems. With the rapid increase in digital information, there is a growing need…
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[ad_1] Introduction With advancements in technology, smart healthcare has become an emerging trend in the healthcare industry. Smart healthcare leverages cutting-edge technologies such as artificial intelligence (AI) and machine learning (ML) to improve patient care,…
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[ad_1] Introduction Privacy-preserving federated learning is a cutting-edge technology that allows multiple IoT devices to collaboratively learn a model while keeping their data decentralized and secure. With the rapid growth of IoT devices, concerns about…
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[ad_1] Introduction Cognitive computing is a rapidly evolving field that combines artificial intelligence, machine learning, natural language processing, and advanced analytics to create systems that can learn, reason, and interact with humans in a more…
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[ad_1] Introduction Blockchain technology has gained significant attention in recent years for its potential to revolutionize various industries, with one of the emerging applications being peer-to-peer energy trading. The traditional centralized energy trading system is…
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[ad_1] Introduction Reinforcement learning is a powerful machine learning technique that allows agents to learn optimal behaviors through trial-and-error interactions with their environment. In recent years, there has been a growing interest in using reinforcement…
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[ad_1] Introduction Federated learning has emerged as a promising approach to train machine learning models across decentralized networks of devices such as smartphones, edge servers, and autonomous vehicles. This distributed learning paradigm enables collaborative model…
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[ad_1] Introduction In the era of the Internet of Things (IoT), where devices are interconnected and share data seamlessly, ensuring the security and privacy of data during aggregation becomes crucial. Secure IoT data aggregation is…
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