[ad_1] Introduction In recent years, there has been a growing interest in the application of quantum computing and quantum-inspired algorithms in various fields, including logistics and supply chain management. Quantum computing has the potential to…
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[ad_1] Introduction Privacy-Preserving Encrypted Machine Learning is a rapidly growing field in the intersection of machine learning and privacy protection. With the increasing use of machine learning models in various sectors such as healthcare, finance,…
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[ad_1] Introduction: With the rapid increase in urbanization worldwide, the challenges associated with traffic management in smart cities have become more pronounced. Smart cities are characterized by the use of various technologies and data to…
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[ad_1] Introduction Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. In recent years, NLP has gained considerable attention due to its wide range…
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[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 Hybrid cloud environments are becoming increasingly popular in the business world, as they offer a flexible and cost-effective solution for organizations to manage their data and applications. However, the efficient allocation of resources…
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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 The integration of data from various sources has become increasingly important in today’s data-driven world, with organizations relying on data to make informed decisions and gain a competitive edge. Data Fabric Architecture for…
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