[ad_1] Introduction Advancements in machine learning and healthcare analytics have revolutionized the healthcare industry by providing valuable insights for personalized treatment, disease prediction, and patient management. However, the use of sensitive healthcare data for training…
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[ad_1] Introduction Swarm intelligence is a relatively new field that has garnered significant interest in recent years due to its potential applications in various domains, including unmanned aerial vehicle (UAV) coordination. UAVs are becoming increasingly…
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[ad_1] Introduction In recent years, the popularity of cloud storage services has grown significantly due to the convenience and scalability they offer to users. However, centralized cloud storage systems have raised concerns over data privacy…
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[ad_1] Introduction Social media has become an integral part of our daily lives, enabling people to express their opinions, thoughts, and emotions in real-time. With the vast amount of textual data generated on social media…
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[ad_1] Introduction Automated software localization and internationalization have become increasingly important in today’s globalized world where businesses are expanding their reach to international markets. Localization refers to the process of adapting a software application to…
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[ad_1] Introduction: Quantum sensing has emerged as a promising technology for underground resource detection due to its high sensitivity and precision in measuring various physical properties. This thesis aims to explore the potential of quantum…
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[ad_1] Introduction Blockchain technology has emerged as a disruptive force in various industries, offering secure, transparent, and decentralized solutions to traditional centralized systems. One area where blockchain technology is gaining traction is in the field…
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[ad_1] Introduction Virtual reality (VR) technology has been increasingly utilized in various fields including architectural design and visualization. The ability to immerse users in a virtual environment allows architects to visualize, design, and present their…
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[ad_1] Introduction Quantum machine learning is a cutting-edge field that combines quantum computing and machine learning techniques to enhance data analysis and prediction capabilities. In recent years, there has been a growing interest in using…
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[ad_1] Introduction: Edge computing has emerged as a promising technology that enables data processing and analysis to be performed closer to the source of data generation, reducing latency and enhancing the overall performance of applications.…
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