[ad_1] Introduction In recent years, there has been a growing interest in the use of conversational agents and chatbots for customer engagement in various industries. Conversational agents are computer programs that simulate conversation with human…
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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: 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 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 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 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: 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 Knowledge Graphs and Semantic Web technologies have revolutionized the way data is organized, linked, and utilized in various domains, including scientific research. By representing knowledge in a structured and interconnected manner, these technologies…
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[ad_1] Introduction Graph databases and graph analytics have emerged as powerful tools in the field of fraud detection. By representing data as interconnected nodes and edges, graph databases allow for complex relationships and patterns to…
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