[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] Introduction Privacy-preserving federated learning is an emerging field in healthcare that aims to leverage the collective intelligence of multiple institutions while preserving the privacy of individual patient data. With the increasing amount of healthcare…
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[ad_1] Introduction Federated learning is an emerging technology that allows organizations to collaboratively build machine learning models without sharing their raw data. This distributed approach to machine learning has gained traction in recent years due…
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[ad_1] Introduction Quantum cryptography is a cutting-edge technology that leverages the principles of quantum mechanics to provide secure communication channels. In recent years, there has been a growing interest in utilizing quantum cryptography for satellite…
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[ad_1] Introduction In recent years, the issue of climate change has become a global concern, with governments, businesses, and individuals seeking ways to reduce carbon emissions and mitigate the impact of global warming. One approach…
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[ad_1] Introduction Automated software vulnerability detection using artificial intelligence (AI) has become an increasingly important area of research in the field of cybersecurity. With the ever-evolving landscape of cyber threats, it has become essential for…
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[ad_1] **Introduction** Edge AI has emerged as a promising technology for enhancing smart surveillance systems by enabling real-time data processing and analysis at the edge of the network. This thesis focuses on exploring the potential…
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[ad_1] Introduction: Digital twin technology is a rapidly growing field that has the potential to revolutionize personalized medicine. By creating virtual replicas of individual patients, healthcare providers can optimize treatment plans and improve patient outcomes.…
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[ad_1] Introduction The advancement of technology has revolutionized the way healthcare information is stored, shared, and accessed. With the increasing use of electronic health records (EHRs) and the need for seamless information exchange between healthcare…
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[ad_1] Introduction Federated learning is a cutting-edge approach to collaborative machine learning that allows multiple institutions to train a shared model without sharing their data. In the context of medical research, federated learning has the…
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