[ad_1] Introduction The development of autonomous vehicles has been a significant advancement in the field of transportation, promising to revolutionize the way we travel and commute. However, as autonomous vehicles become more prevalent on our…
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[ad_1] Introduction Federated learning has emerged as a promising technique for privacy-preserving machine learning applications in various domains, including healthcare, finance, and smart cities. In the context of smart cities, where data is generated from…
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[ad_1] Introduction: The increasing popularity of smart home devices has led to a growing concern about the security and privacy of these systems. Edge AI, a subset of artificial intelligence that operates on local devices…
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[ad_1] Introduction: Distributed Ledger Technology (DLT) has emerged as a revolutionary solution for enhancing transparency and efficiency in supply chain management. The decentralized nature of DLT enables stakeholders to securely and transparently record transactions, track…
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[ad_1] Introduction Facial recognition systems have become an integral part of our daily lives, with applications ranging from unlocking smartphones to security surveillance. However, these systems are vulnerable to adversarial attacks, where an attacker can…
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[ad_1] Introduction Reinforcement learning has emerged as a powerful tool in the field of autonomous navigation, offering the potential for drones to navigate complex indoor environments without relying on pre-programmed maps or GPS signals. The…
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[ad_1] Introduction In recent years, mobile health applications have become increasingly popular for monitoring and managing various health conditions. However, the use of personal health data in these apps raises significant privacy concerns. Federated learning…
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[ad_1] Introduction In recent years, augmented reality (AR) has become increasingly popular in various fields such as education, healthcare, and entertainment. One of the key challenges in AR applications is real-time translation, where the ability…
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[ad_1] Introduction Emotion recognition has become an increasingly important area of research in the field of adaptive e-learning systems. The ability to accurately detect and respond to students’ emotions can greatly enhance the effectiveness of…
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[ad_1] Introduction 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 of study 1.8 Structure of the Thesis 1.9 Definition of…
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