[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 In recent years, the rise of Industry 4.0 has brought about significant advancements in manufacturing processes through the integration of digital technologies. One key aspect of Industry 4.0 is the use of Edge…
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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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[ad_1] Introduction Technology has revolutionized the way healthcare services are delivered, with the introduction of XR (Extended Reality) technologies opening up new opportunities for remote healthcare and telemedicine. XR technologies, which include Virtual Reality (VR),…
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[ad_1] Introduction: The Web of Things (WoT) is a concept that extends the Internet of Things (IoT) by enabling seamless communication and data exchange between smart devices and web services. With the rapid advancement of…
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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 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: Privacy-preserving differential privacy techniques have become increasingly important in the field of data privacy and security. With the growing amount of data being collected and shared, ensuring the privacy of individuals has become…
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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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