[ad_1] Introduction In recent years, the proliferation of fake news has become a significant challenge in the digital era. With the rise of social media and online platforms, fake news has the potential to spread…
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[ad_1] Introduction Traffic accidents are a major concern worldwide, causing a significant number of fatalities and injuries each year. Predicting traffic accidents can help in preventing them, reducing their severity, and improving road safety. Deep…
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[ad_1] Introduction Facial recognition for emotion detection using computer vision and deep learning has garnered significant interest in recent years due to its wide range of applications in various fields such as healthcare, security, and…
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[ad_1] Introduction In recent years, there has been a growing interest in the use of chatbots for mental health support. Chatbots are computer programs designed to simulate conversation with human users, typically over the internet.…
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[ad_1] Introduction As online transactions continue to grow in popularity, so does the risk of fraud. Fraudulent activities such as identity theft, account takeover, and payment fraud pose a significant threat to both businesses and…
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[ad_1] Introduction Predictive modeling for energy consumption using time series analysis and machine learning is a critical area of research that has gained significant attention in recent years. As the demand for energy continues to…
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[ad_1] **Introduction** In recent years, the proliferation of online hotel reviews has provided a valuable resource for both travelers seeking information and hotels wanting to assess customer satisfaction. Sentiment analysis, a subfield of natural language…
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[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] Thesis Overview Title: Recommender Systems for News Articles using Content-Based Filtering Introduction In today’s digital age, the vast amount of information available online can be overwhelming for users to navigate. Recommender systems offer a…
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[ad_1] Introduction: Demand forecasting is a crucial element in retail inventory management as it aids in optimizing inventory levels, reducing costs, and improving customer satisfaction. Time series analysis is a commonly used technique in forecasting…
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