[ad_1] Introduction: Transfer learning has gained significant attention in recent years as a powerful technique for improving the performance of natural language understanding systems. By leveraging knowledge learned from one task or domain and applying…
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[ad_1] Introduction: Problem-based learning (PBL) has been widely recognized for its effectiveness in promoting higher-order thinking skills among students. This approach to learning encourages students to tackle real-world problems, analyze information, and come up with…
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[ad_1] Introduction: Explainable Artificial Intelligence (AI) refers to the ability of AI systems to provide understandable explanations for their decisions and actions. In high-stakes decision-making scenarios, such as healthcare, finance, and criminal justice, it is…
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[ad_1] Introduction: Tensor methods have emerged as powerful tools for analyzing high-dimensional data in various fields such as machine learning, signal processing, and image processing. Tensors, which are generalizations of matrices, allow for the representation…
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[ad_1] Introduction: Health education plays a crucial role in promoting and maintaining the overall well-being of individuals. It encompasses various activities aimed at imparting knowledge and skills that enable people to make informed decisions about…
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[ad_1] Introduction: Fairness and Bias Mitigation in AI Systems is a critical topic in the field of artificial intelligence. As AI becomes increasingly integrated into various aspects of society, it is essential to ensure that…
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[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Objective of the Study 1.3 Limitation of the Study 1.4 Scope of the Study Chapter 2: Literature Review 2.1 Overview of End-of-Life…
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[ad_1] Introduction: Self-supervised learning has gained significant attention in recent years as a method for unsupervised representation learning in machine learning. By leveraging the inherent structure of the data itself, self-supervised learning techniques can learn…
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[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Statement of the Problem 1.3 Objectives of the Study 1.4 Research Questions 1.5 Significance of the Study 1.6 Scope of the Study…
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[ad_1] Introduction: Active Learning is a machine learning approach that aims to efficiently label large datasets by selecting the most informative data points for manual annotation. In this thesis, we will explore the use of…
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