[ad_1] Introduction Emotion recognition has gained significant attention in recent years due to its potential applications in various fields, including mental health monitoring. The ability to accurately detect and interpret emotions can provide valuable insights…
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[ad_1] Introduction Reinforcement learning (RL) is a type of machine learning technique that allows an agent to learn how to make decisions through trial and error. By interacting with its environment, the agent receives feedback…
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[ad_1] Introduction The rapid advancement of technology in recent years has led to the emergence of 5G networks, promising faster speeds, lower latency, and higher capacity than ever before. However, as the demand for data…
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[ad_1] Introduction: Edge computing has emerged as a promising technology that can revolutionize the way smart energy management systems operate. The proliferation of Internet of Things (IoT) devices in the energy sector has led to…
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[ad_1] Introduction Federated learning is a novel machine learning approach that enables collaborative training of a global model across multiple decentralized edge devices, such as smartphones, tablets, and IoT devices. This paradigm shift in machine…
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[ad_1] Introduction: Quantum sensing has emerged as a promising technology in the field of medical imaging, offering new ways to enhance the sensitivity and resolution of imaging techniques. By harnessing the principles of quantum mechanics,…
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[ad_1] Introduction Blockchain technology has revolutionized various industries, including finance, supply chain management, and healthcare. One of the innovative applications of blockchain is in crowdfunding platforms, where it can provide increased transparency, security, and efficiency.…
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[ad_1] Introduction Digital twin technology has emerged as a key enabler for smart manufacturing, empowering companies to monitor, optimize, and control their manufacturing processes in real time. By creating a virtual representation of physical assets,…
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[ad_1] Introduction Robotic process automation (RPA) has revolutionized the way organizations automate repetitive tasks, allowing for greater efficiency and accuracy in various industries. However, traditional RPA systems rely on pre-programmed instructions which limit their adaptability…
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[ad_1] Thesis Overview: Introduction: Artificial Intelligence (AI) has become an integral part of automated customer service systems, providing companies with the ability to handle customer inquiries and issues quickly and efficiently. However, the lack of…
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