[ad_1] Introduction In today’s digital age, the spread of misinformation and fake news has become a significant issue affecting individuals, communities, and even governments. The rapid dissemination of fake news through social media platforms and…
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[ad_1] Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objectives of Study 1.5 Limitations 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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[ad_1] Introduction Predictive policing is an emerging technology that uses advanced analytics and data science to forecast and prevent crime. By analyzing historical crime data, law enforcement agencies can identify patterns, trends, and hotspots to…
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[ad_1] Introduction Facial recognition for emotion detection has gained significant attention in recent years due to its potential applications in various fields such as human-computer interaction, market research, security, and healthcare. Emotions play a crucial…
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[ad_1] Introduction Image-based crop disease detection has become a crucial tool in modern agriculture for early detection of plant diseases. With the advancement of technology in areas such as computer vision and machine learning, the…
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[ad_1] Thesis Title: Sentiment Analysis of Social Media for Brand Perception Chapter One: 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…
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[ad_1] Introduction Online gaming has become increasingly popular in recent years, with millions of players engaging in virtual worlds and competitive gameplay. However, with the growth of the online gaming industry, the issue of fraud…
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[ad_1] Introduction Healthcare fraud is a significant issue that affects the entire healthcare system, resulting in billions of dollars lost each year. Fraudulent activities such as billing for services not rendered, upcoding, and kickbacks not…
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[ad_1] Introduction Predictive Maintenance for HVAC Systems has become increasingly important in recent years as businesses and homeowners seek to minimize downtime, reduce operating costs, and extend the lifespan of their heating, ventilation, and air…
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[ad_1] Introduction: Credit default prediction is a crucial task for financial institutions to assess the risk associated with lending money to individuals or businesses. Traditional methods of credit default prediction rely heavily on statistical analysis…
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