[ad_1] Introduction: The widespread adoption of electric vehicles (EVs) has brought about the need for a robust charging infrastructure to support the growing demand. One key aspect of this infrastructure is the placement of electric…
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[ad_1] Introduction Computer vision has become an integral part of quality control in manufacturing industries. With the advancement of technology, computer vision systems are being used to automate inspection processes, improve accuracy, and reduce human…
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[ad_1] Introduction: Quantum key distribution (QKD) systems have emerged as a promising solution for secure communication in the face of increasing cybersecurity threats. Unlike traditional encryption methods, which rely on mathematical complexity for security, QKD…
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[ad_1] Introduction: Knowledge graphs and the semantic web have revolutionized the way information is organized and analyzed in various domains, including drug discovery. The integration of these technologies allows researchers to efficiently extract valuable insights…
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[ad_1] Introduction: Hospital bed demand is a critical factor in healthcare management, affecting resource allocation, patient flow, and overall quality of care. Predicting hospital bed demand accurately can help healthcare providers optimize bed utilization, reduce…
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[ad_1] Introduction Generative adversarial networks (GANs) have emerged as a powerful tool in the field of artificial intelligence for generating realistic and high-quality content, such as images, videos, and text. GANs consist of two neural…
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[ad_1] Introduction Computational thinking has gained widespread recognition in recent years as a critical skill that students need to thrive in the 21st century. As schools around the world seek to integrate computer science into…
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[ad_1] Introduction In today’s digital age, businesses are increasingly reliant on technology to store and manage their data. With the growing threat of cyber attacks, natural disasters, and other disruptions, it is crucial for organizations…
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[ad_1] Introduction Dual-language immersion programs have become increasingly popular in urban school districts as a way to promote bilingualism and academic achievement among students from diverse linguistic backgrounds. This thesis aims to evaluate the effectiveness…
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[ad_1] Introduction Federated learning is a novel machine learning paradigm that enables collaborative model training across multiple decentralized edge devices without the need to transfer raw data to a central server. This approach is particularly…
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