[ad_1] Introduction Self-supervised learning has emerged as a promising technique in the field of machine learning, especially for tasks where labeled data is scarce or expensive to obtain. This approach aims to leverage the inherent…
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[ad_1] Introduction Reinforcement learning is a subfield of machine learning that focuses on enabling agents to make sequential decisions in order to maximize rewards. It has gained significant attention in recent years due to its…
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[ad_1] Introduction Fuzzy logic is a mathematical framework that provides a way to represent and reason with uncertainty in a systematic and formal manner. It has been successfully applied in various fields such as control…
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[ad_1] ***Thesis Title: Affective Computing for Emotion Recognition*** **Chapter 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…
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[ad_1] Introduction Pervasive computing has revolutionized the way we interact with technology by integrating it seamlessly into our daily lives. This paradigm shift has enabled ubiquitous services, where information and communication technologies are available anytime,…
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[ad_1] Introduction Embedded systems play a crucial role in the modern world, where they are used in various applications ranging from consumer electronics to industrial automation. One of the key areas where embedded systems are…
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[ad_1] Introduction Recommender systems have become an essential part of modern day information retrieval and e-commerce platforms. These systems aim to provide personalized recommendations to users based on their preferences and behavior. By analyzing user…
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[ad_1] Introduction Web mining is the application of data mining techniques to extract useful information from the World Wide Web. With the exponential growth of online social networks, there is a vast amount of user-generated…
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[ad_1] Introduction Text mining is a rapidly growing area of research that focuses on the techniques and methods used to extract valuable information from unstructured text data. Document classification, a subfield of text mining, involves…
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[ad_1] Introduction: Handwriting analysis has been a subject of interest for researchers in various fields for many years. The ability to analyze and interpret patterns in handwriting can provide valuable insights into a person’s personality,…
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