[ad_1] Introduction: In recent years, there has been a growing interest in the use of Artificial Intelligence (AI) for automated diagnosis in various fields such as healthcare, finance, and cybersecurity. AI models are capable of…
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[ad_1] Introduction: Natural Language Understanding (NLU) is a crucial component in the field of artificial intelligence, enabling machines to interpret and comprehend human language. One of the key applications of NLU is intent recognition, which…
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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: Automated software repair and patching is an emerging field in computer science that focuses on developing automated techniques and tools to automatically repair software bugs and vulnerabilities. As software systems become increasingly complex,…
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[ad_1] Introduction: Swarm intelligence is a fascinating area of research that has gained significant attention due to its ability to solve complex problems by mimicking the behavior of social insect colonies. This thesis explores the…
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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 The rapid evolution of technology has revolutionized the way businesses operate, especially in the realm of e-commerce. E-commerce has become an essential platform for businesses to reach a wider audience and increase their…
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