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Fraud detection in the non-profit sector using machine learning and donation data – Complete Phd and Masters Thesis

Fraud detection in the non-profit sector using machine learning and donation data – Complete Phd and Masters Thesis

[ad_1] Introduction The non-profit sector plays a crucial role in society by providing essential services and supporting various causes. However, like any other sector, non-profit organizations are not immune to fraud and financial mismanagement. Fraud…

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Predictive modeling for customer retention in the insurance industry using claims data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for customer retention in the insurance industry using claims data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction The insurance industry is a highly competitive market where customer retention is crucial for the success of insurance companies. Predictive modeling, combined with machine learning techniques, has emerged as a powerful tool to…

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Sentiment analysis of social media posts for product launch analysis using text mining and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of social media posts for product launch analysis using text mining and deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, social media platforms have become a prominent source of information for businesses, marketers, and consumers. With the rise of social media, companies are now able to interact with their customers…

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Anomaly detection in industrial control systems using SCADA data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in industrial control systems using SCADA data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Anomaly detection plays a critical role in ensuring the security and reliability of industrial control systems (ICS), particularly in the context of Supervisory Control and Data Acquisition (SCADA) systems. SCADA systems are widely…

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Predicting patient risk for chronic diseases using electronic health records and machine learning – Complete Phd and Masters Thesis

Predicting patient risk for chronic diseases using electronic health records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Chronic diseases, such as heart disease, diabetes, and cancer, are major public health challenges worldwide. These diseases are responsible for a significant portion of healthcare costs and are a leading cause of mortality…

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Image segmentation for medical device design using deep learning and medical imaging data – Complete Phd and Masters Thesis

Image segmentation for medical device design using deep learning and medical imaging data – Complete Phd and Masters Thesis

[ad_1] Introduction Image segmentation is a critical process in medical device design that involves partitioning a digital image into multiple segments to simplify and analyze it. With the advancement of deep learning algorithms and the…

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Predictive modeling for customer acquisition using marketing data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for customer acquisition using marketing data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: In today’s competitive business landscape, customer acquisition is a crucial aspect of any organization’s growth strategy. With the emergence of big data and advanced analytics techniques, businesses now have the ability to leverage…

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Fake news detection for political campaigns using natural language processing – Complete Phd and Masters Thesis

Fake news detection for political campaigns using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction: The proliferation of fake news has become a significant issue in today’s society, particularly in the context of political campaigns. With the rise of social media and online platforms, it has become easier…

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Traffic flow prediction for smart city planning using deep learning and IoT sensor data – Complete Phd and Masters Thesis

Traffic flow prediction for smart city planning using deep learning and IoT sensor data – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic congestion is a major issue faced by metropolitan cities around the world, leading to wasted time, increased carbon emissions, and decreased productivity. Smart city planning aims to utilize technology to optimize urban…

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Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction Customer feedback is an invaluable source of information for businesses seeking to improve their service quality. As the digital age continues to evolve, the volume of customer feedback available online has increased significantly.…

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