[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: Social media has become an integral part of people’s daily lives, providing a platform for individuals to express their opinions, thoughts, and feelings about various topics, including brands. Brands are increasingly interested in…
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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 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 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: 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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[ad_1] Introduction Social network analysis (SNA) is a powerful tool that leverages network theory and data analysis techniques to study the structure and behavior of networks. In recent years, SNA has gained increasing attention in…
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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 Facial recognition technology has gained significant attention in various fields due to its ability to accurately identify individuals based on their facial features. One of the applications of this technology is in attendance…
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