[ad_1] INTRODUCTION 1.1 Introduction 1.2 Background of the Study 1.3 Problem Statement 1.4 Objective of the Study 1.5 Limitation of the Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis…
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[ad_1] Introduction The rapid development of the Internet of Things (IoT) has led to the deployment of a large number of sensor devices in various environments, such as smart homes, smart cities, and industrial settings.…
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[ad_1] Introduction Image classification is a crucial aspect of quality control in manufacturing processes, as it enables the automated identification and detection of defects in products. Deep learning algorithms have shown great potential in image…
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[ad_1] Introduction: Traffic congestion is a major issue that affects both urban and rural areas worldwide, leading to increased travel times, air pollution, and economic losses. In recent years, there has been a growing interest…
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[ad_1] Introduction In today’s competitive business landscape, understanding customer purchase behavior is crucial for companies to effectively target and retain customers. With the advancement of technology, businesses now have access to vast amounts of transactional…
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[ad_1] Introduction In recent years, the development of chatbots for customer support using natural language processing has gained significant attention in both academia and industry. Chatbots are AI-driven programs that interact with users through text…
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[ad_1] Introduction: The rise of social media platforms has revolutionized the way in which people engage with politics, with Twitter being a popular platform for political discourse. As a result, there is a vast amount…
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[ad_1] Introduction In recent years, businesses have been increasingly utilizing customer segmentation for targeted marketing purposes. Customer segmentation involves dividing customers into groups based on shared characteristics or behaviors, allowing businesses to tailor their marketing…
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[ad_1] Introduction Fraud in insurance claims is a significant issue that impacts both insurance companies and policyholders. Detecting fraudulent claims is a complex and challenging task due to the diverse nature of fraudulent activities. Machine…
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[ad_1] Introduction Customer churn prediction is a crucial task for businesses, especially in the banking industry where customer retention is vital for long-term profitability and sustainability. With the advent of big data and advanced machine…
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