[ad_1] Introduction Swarm intelligence is a field of study that draws inspiration from the collective behavior of organisms in nature, such as ants, bees, and birds, to develop algorithms and techniques for solving complex optimization…
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[ad_1] Introduction Cancer continues to be a leading cause of death worldwide, with millions of new cases diagnosed each year. Personalized cancer treatment planning, which involves tailoring treatment strategies based on the individual characteristics of…
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[ad_1] Introduction Quantum sensing has emerged as a promising technology for various applications, including early earthquake detection. Earthquakes are natural disasters that can cause significant damage and loss of life. Traditional methods of earthquake detection…
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[ad_1] Introduction In recent years, renewable energy systems have gained traction as the global push towards sustainable energy sources intensifies. However, the performance and reliability of these systems can be compromised due to various factors…
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[ad_1] Introduction Virtual reality (VR) has emerged as a promising tool for pain management in chronic conditions. Chronic pain affects millions of people worldwide and traditional pain management methods such as medication and physical therapy…
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[ad_1] Introduction With the increasing popularity of social networking platforms, there is a growing interest in utilizing social network analysis for public health research. However, privacy concerns arise when analyzing sensitive health data on these…
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[ad_1] Introduction Quantum machine learning has emerged as a cutting-edge technology that combines the principles of quantum mechanics and machine learning algorithms to solve complex computational problems. In recent years, quantum machine learning has shown…
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[ad_1] Introduction In recent years, the use of augmented reality (AR) technology in museums has gained increasing popularity as a means of enhancing visitor engagement and learning experiences. However, the successful implementation of AR in…
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[ad_1] Introduction In today’s fast-paced software development industry, prioritizing requirements is crucial to ensure successful project outcomes. However, traditional methods of requirements prioritization can be time-consuming, subjective, and error-prone. With the advancements in Artificial Intelligence…
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[ad_1] Introduction Generative models for synthetic training data in computer vision have gained significant attention in recent years due to their ability to generate large amounts of realistic training data for various computer vision tasks.…
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