[ad_1] Introduction With the rise of Internet of Things (IoT) devices in various industries, the need for cybersecurity measures has become more critical than ever. These devices, which are interconnected through the internet, pose unique…
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[ad_1] Introduction Biometric data collected via smartphones has become increasingly prevalent in today’s digital world. From fingerprint scanning to facial recognition, these technologies offer convenience and security for users. However, the collection and storage of…
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[ad_1] **Introduction** Public transit systems play a crucial role in shaping the connectivity and accessibility of urban areas. Understanding how people use public transit is essential for improving the efficiency and effectiveness of these systems.…
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[ad_1] Introduction In today’s society, there has been a growing concern about the lack of resources available to charities and non-profit organizations. With the rise of technology, it has become increasingly important to find innovative…
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[ad_1] Introduction Augmented Reality (AR) and Virtual Reality (VR) are two rapidly advancing technologies that have gained significant attention in the field of education in recent years. These technologies have the potential to revolutionize the…
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[ad_1] Introduction The use of Artificial Intelligence (AI) technology in criminal justice systems has become increasingly prevalent in recent years. AI systems have been implemented to assist in various aspects of the criminal justice process,…
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[ad_1] Introduction In recent years, there has been a growing interest in utilizing blockchain technology to secure personal health records. With concerns about data breaches and privacy violations on the rise, blockchain offers a decentralized…
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[ad_1] Introduction Quantum machine learning (QML) has emerged as a promising field at the intersection of quantum computing and machine learning. With the potential for exponential speedup in certain computational tasks, quantum algorithms have the…
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[ad_1] **Introduction** The advancement of technology has led to an abundance of audio-visual data, making it essential to develop efficient methods for analyzing and localizing events in multimedia content. Multi-modal learning, which leverages both audio…
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[ad_1] Introduction In recent years, there has been a significant increase in the use of machine learning algorithms in healthcare for various applications, including risk prediction, diagnostic imaging, personalized treatment, and data-driven decision making. However,…
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