[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate realistic images, videos, and animations. In the field of virtual human animation, GANs offer a promising approach…
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[ad_1] Introduction The increased availability of healthcare data has led to the development of machine learning algorithms for various healthcare applications. However, sharing sensitive medical information between multiple parties for collaborative machine learning poses a…
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[ad_1] Introduction In recent years, there has been a significant increase in the use of wearable devices and mobile applications for health monitoring. These devices and apps collect a vast amount of personal health data,…
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[ad_1] Introduction Privacy-preserving federated learning is a promising approach for financial fraud detection, as it allows multiple institutions to collaboratively train machine learning models without sharing sensitive data. In the financial industry, where maintaining data…
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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, with the rapid advancement of technology, there has been a growing interest in the use of artificial intelligence (AI) to improve the management of smart buildings. Smart buildings are equipped…
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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 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 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 Advancements in technology have revolutionized the way we live, with smart home devices becoming increasingly popular for their convenience and efficiency. However, the proliferation of these devices has raised concerns about privacy and…
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