[ad_1] Introduction Augmented reality (AR) has gained significant attention in recent years due to its potential to enhance learning experiences in various fields, including language learning. The ability of AR technology to overlay virtual information…
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[ad_1] Introduction: Neuromorphic computing is a cutting-edge field that aims to mimic the structure and function of the human brain using artificial neural networks. This technology has the potential to revolutionize the field of brain-computer…
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[ad_1] Thesis Overview Privacy-preserving federated learning is a revolutionary approach that enables mobile devices to collaboratively train machine learning models without compromising the privacy of user data. This thesis focuses on exploring the implementation and…
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[ad_1] Introduction Traffic congestion is a major issue in urban areas around the world, leading to wasted time, increased pollution, and decreased quality of life. Traditional fixed-time traffic signal control systems are unable to effectively…
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[ad_1] Introduction: Computer vision is an interdisciplinary field that enables machines to interpret and understand the visual world. It has opened up a myriad of opportunities for various applications, including assisted living technologies. With the…
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[ad_1] Introduction Blockchain technology has gained significant attention in recent years due to its potential to revolutionize various industries. One area where blockchain can make a significant impact is in fair trade certification. Fair trade…
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[ad_1] Introduction Virtual reality (VR) is an emerging technology that has shown great potential for social skills training. With the increasing use of VR in various fields, including healthcare and education, researchers have started to…
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[ad_1] Introduction The Internet of Things (IoT) is a rapidly growing field that involves the connection of physical devices, sensors, and other objects to the internet, allowing them to communicate and interact with each other.…
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[ad_1] Introduction Swarm robotics is a relatively new field that involves the coordination of multiple robots to perform tasks in a decentralized and self-organized manner. The use of swarm robotics in precision medicine has the…
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[ad_1] Introduction Quantum machine learning has emerged as a promising field that combines quantum computing with machine learning algorithms to solve complex problems efficiently. Climate modeling is one such challenging task that requires the analysis…
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