[ad_1] Introduction: Social network analysis (SNA) has become an increasingly important tool in various fields such as sociology, anthropology, psychology, and computer science. It allows researchers to study the relationships and interactions among individuals, groups,…
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[ad_1] Thesis Overview: Title: Predictive modeling for student performance using educational data and machine learning Introduction: The use of predictive modeling in education has gained increasing attention in recent years. With the advancements in machine…
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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: 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: Predictive maintenance for aircraft engines using sensor data and machine learning has gained significant attention in recent years due to its potential to enhance the reliability and safety of aircraft operations. By leveraging…
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[ad_1] Thesis Title: Customer Segmentation for Personalized Marketing Using Clustering Algorithms and Demographic Data 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…
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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 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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