[ad_1] Introduction Space debris, also known as space junk, poses a significant threat to active satellites, spacecraft, and astronauts in orbit. With the increasing number of satellites being launched into space, the risk of collisions…
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[ad_1] Introduction In the rapidly evolving world of network management, the need for adaptive and intelligent systems has become increasingly apparent. Traditional network management techniques have proven to be inadequate in handling the dynamic and…
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[ad_1] Introduction Artificial Intelligence (AI) has revolutionized many industries, including healthcare. One of the key areas where AI is making a significant impact is in medical image analysis. By utilizing deep learning algorithms, AI systems…
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[ad_1] Introduction In the era of big data and artificial intelligence, the financial services industry is constantly seeking new ways to leverage data for improved decision-making and customer service. However, the sensitive nature of financial…
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[ad_1] Introduction Natural language generation (NLG) refers to the process of producing human-like text or speech from data or information. In recent years, NLG has gained significant attention due to its potential applications in various…
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[ad_1] Introduction In recent years, there has been a significant increase in the use of cognitive computing in various fields such as healthcare, finance, and education. Cognitive computing involves the use of artificial intelligence (AI)…
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[ad_1] Introduction Swarm robotics is a relatively new field of research that draws inspiration from the collective behavior of social insects such as ants and bees. These robots are capable of collaborating with each other…
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[ad_1] Introduction Blockchain technology has gained widespread attention in recent years for its potential to revolutionize various industries, including gaming. In the gaming industry, blockchain offers the opportunity to create decentralized platforms that provide greater…
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[ad_1] Introduction The use of reinforcement learning in autonomous trading systems has gained significant attention due to its ability to adapt and learn from market data to make informed trading decisions. This thesis aims to…
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[ad_1] Introduction Federated learning has emerged as a promising approach for collaborative machine learning across multiple data silos, where data cannot be centrally aggregated due to privacy or regulatory concerns. This thesis aims to explore…
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