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Fraud detection in online transactions using machine learning and behavioral analysis – Complete Phd and Masters Thesis

Fraud detection in online transactions using machine learning and behavioral analysis – Complete Phd and Masters Thesis

[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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Image segmentation for medical image analysis using deep learning – Complete Phd and Masters Thesis

Image segmentation for medical image analysis using deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Image segmentation is a crucial task in medical image analysis, as it plays a vital role in various clinical applications such as tumor detection, organ segmentation, and disease classification. Deep learning algorithms have…

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Sentiment analysis of hotel reviews using natural language processing and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of hotel reviews using natural language processing and deep learning – Complete Phd and Masters Thesis

[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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Customer churn prediction in the insurance industry using ensemble methods – Complete Phd and Masters Thesis

Customer churn prediction in the insurance industry using ensemble methods – Complete Phd and Masters Thesis

[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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Demand forecasting for retail inventory management using time series analysis – Complete Phd and Masters Thesis

Demand forecasting for retail inventory management using time series analysis – Complete Phd and Masters Thesis

[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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Social network analysis for fraud detection in online networks – Complete Phd and Masters Thesis

Social network analysis for fraud detection in online networks – Complete Phd and Masters Thesis

[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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Predictive modeling for credit risk assessment using financial data – Complete Phd and Masters Thesis

Predictive modeling for credit risk assessment using financial data – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the use of predictive modeling for credit risk assessment has gained significant attention in the financial industry. This approach allows financial institutions to analyze historical data and predict the creditworthiness…

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Traffic congestion prediction using deep learning and real-time data – Complete Phd and Masters Thesis

Traffic congestion prediction using deep learning and real-time data – Complete Phd and Masters Thesis

[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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Sentiment analysis of political tweets using text mining and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of political tweets using text mining and deep learning – Complete Phd and Masters Thesis

[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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Predictive maintenance for wind turbines using sensor data and machine learning – Complete Phd and Masters Thesis

Predictive maintenance for wind turbines using sensor data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Wind turbines are critical components in the generation of renewable energy. However, the maintenance of these turbines can be costly and time-consuming. Predictive maintenance, using sensor data and machine learning algorithms, has emerged…

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