[ad_1] Introduction: Knowledge graphs and the Semantic Web have emerged as powerful tools for Business Intelligence, providing organizations with the ability to ingest, integrate, and analyze vast amounts of data in a structured and meaningful…
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[ad_1] Introduction The ocean covers more than 70% of the Earth’s surface and yet, only a small fraction of it has been explored. With the advancement of technology, the use of underwater devices has become…
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[ad_1] Introduction Graph Neural Networks (GNNs) have emerged as a powerful tool in the field of anomaly detection in Industrial Internet of Things (IIoT) applications. With the increasing complexity and interconnectedness of industrial systems, traditional…
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[ad_1] Introduction: Federated Learning is a decentralized machine learning approach that allows multiple collaborative robots to train a shared model without sharing their individual data with a central server. This emerging technology has shown great…
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[ad_1] Introduction Blockchain technology has revolutionized the way financial transactions are conducted by introducing decentralized finance (DeFi) applications. These applications leverage blockchain’s transparency, security, and immutability to disrupt traditional financial systems and provide users with…
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[ad_1] Introduction Virtual Reality (VR) simulations have become increasingly popular in various fields, including emergency response training. With the advancements in technology, VR simulations provide a realistic and immersive training environment for emergency responders to…
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[ad_1] Introduction Serverless computing and Function-as-a-Service (FaaS) have emerged as popular technologies in recent years that offer a new way of designing and deploying applications in a more efficient and cost-effective manner. This thesis aims…
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[ad_1] Introduction Robotic Process Automation (RPA) is a cutting-edge technology that has the potential to revolutionize various industries by automating repetitive tasks and streamlining processes. In recent years, the legal industry has started to embrace…
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[ad_1] Introduction Optimization algorithms have become increasingly important in the field of renewable energy grid integration as researchers and practitioners strive to maximize the efficiency and reliability of renewable energy sources such as solar, wind,…
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[ad_1] Introduction: Machine learning has become an increasingly popular tool for predictive maintenance in transportation systems. With the advancements in technology and the availability of vast amounts of data, machine learning algorithms have proven to…
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