[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 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 Cybersecurity threats have become a major concern for organizations across the globe. With the increasing amount of data being generated and stored online, there is a growing need for advanced techniques to detect…
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[ad_1] Introduction Text summarization and question answering are crucial tasks in the field of natural language processing, particularly in the domain of technical support. In this thesis, we aim to explore and develop techniques for…
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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: Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human languages. Sentiment analysis, a branch of NLP, is the process of determining the sentiment…
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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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[ad_1] Introduction: In recent years, Low-Code/No-Code platforms have gained significant attention in the field of business process automation. These platforms offer a user-friendly approach to building and deploying software applications with minimal coding required. With…
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