[ad_1] Thesis Overview: Deep reinforcement learning for network routing Introduction Deep reinforcement learning (DRL) has recently gained significant attention in the field of artificial intelligence and machine learning. This thesis explores the application of DRL…
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[ad_1] Introduction Deep reinforcement learning is a powerful technique that combines the fields of deep learning and reinforcement learning to enable machines to learn and make decisions in complex, dynamic environments. In recent years, deep…
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[ad_1] Introduction In today’s digital age, recommendation systems play a vital role in helping users discover relevant content and products. However, the use of these systems raises concerns about user privacy, as they typically require…
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[ad_1] Introduction The use of Artificial Intelligence (AI) techniques in credit scoring has become increasingly popular in recent years. AI models have shown promising results in improving the accuracy of credit risk assessment and decision-making…
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[ad_1] Introduction Blockchain technology has gained significant traction in recent years, with applications ranging from cryptocurrencies to supply chain management. One area where blockchain technology shows great promise is in secure electronic voting. The ability…
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[ad_1] Introduction In recent years, personalized medicine has gained significant attention as a potential approach to revolutionize healthcare by tailoring medical decisions and treatments to individual characteristics. However, the success of personalized medicine relies heavily…
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[ad_1] Introduction: Augmented reality (AR) has emerged as a promising technology in the field of surgical assistance, offering surgeons real-time, interactive, and immersive visualization of medical data during procedures. By overlaying digital information onto the…
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[ad_1] Introduction In recent years, Neuromorphic computing has emerged as a promising approach to address the limitations of traditional computing systems in handling complex tasks such as computer vision. Neuromorphic computing is inspired by the…
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[ad_1] Introduction Swarm intelligence is a field of study inspired by the collective behavior of social insects, such as ants and bees, that exhibit complex behaviors through simple interactions. In recent years, swarm intelligence has…
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[ad_1] Introduction: Climate modeling plays a crucial role in understanding and predicting the complex interactions within the Earth’s climate system. Deep learning, a subset of machine learning that involves the use of artificial neural networks…
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