[ad_1] Introduction: The advancement of natural language processing (NLP) technology has led to the widespread use of chatbots in various applications such as customer service, virtual assistants, and language translation. However, the vulnerability of these…
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[ad_1] Introduction: Emotion recognition has gained significant attention in recent years, especially in the context of adaptive in-vehicle infotainment systems. These systems aim to provide a personalized and engaging experience for drivers and passengers by…
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[ad_1] Introduction Chapter 1. AI-Driven Network Security Orchestration and Automated Incident Response 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of study 1.5 Limitation of study 1.6 Scope of study 1.7 Significance…
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[ad_1] Introduction In recent years, the development of quantum computing has raised concerns about the security of traditional encryption methods. Quantum computers have the potential to break current encryption protocols, putting sensitive data at risk.…
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[ad_1] Introduction Privacy-preserving machine learning has become an essential area of research in the field of financial risk assessment. With the increasing amount of sensitive data being collected by financial institutions, it has become crucial…
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[ad_1] Introduction Software performance testing is essential for ensuring that a software application can handle a high level of workload without experiencing any performance degradation. Traditionally, performance testing is carried out manually by testers, which…
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[ad_1] Introduction Quantum computing is an emerging field that has the potential to revolutionize the way we solve complex optimization problems in machine learning. Traditional algorithms struggle with the exponential growth of data and the…
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[ad_1] Introduction: In recent years, there has been a growing interest in using Emotion AI for personalized mental health interventions. Emotion AI refers to the application of artificial intelligence technologies to recognize, interpret, and generate…
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[ad_1] Introduction In recent years, digital asset management systems have become essential tools for organizations to efficiently store, manage, and distribute their digital assets. With the increasing adoption of cloud technology, many organizations are now…
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[ad_1] Introduction Quantum-inspired optimization techniques have gained significant attention in recent years due to their ability to solve complex problems efficiently and effectively. In the field of logistics and supply chain management, where the optimization…
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