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Image segmentation for autonomous inspection using deep learning and industrial IoT data – Complete Phd and Masters Thesis

Image segmentation for autonomous inspection using deep learning and industrial IoT data – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Image Segmentation for Autonomous Inspection using Deep Learning and Industrial IoT Data Introduction: Image segmentation plays a crucial role in various fields such as medical imaging, autonomous vehicles, and industrial inspection. With…

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Demand forecasting for supply chain planning using time series analysis and supplier data – Complete Phd and Masters Thesis

Demand forecasting for supply chain planning using time series analysis and supplier data – Complete Phd and Masters Thesis

[ad_1] Introduction Demand forecasting plays a crucial role in supply chain planning as it helps organizations to make informed decisions regarding production, inventory management, and distribution. With the increasing complexity of global supply chains and…

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Predictive modeling for customer acquisition in the travel industry using booking data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for customer acquisition in the travel industry using booking data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s competitive travel industry, acquiring new customers is crucial for businesses to stay relevant and profitable. With the advancement of technology and the abundance of data available, predictive modeling has become a…

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Fake news detection for social media platforms using natural language processing – Complete Phd and Masters Thesis

Fake news detection for social media platforms using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction Fake news has become a prevalent issue in the digital age, particularly on social media platforms where information spreads rapidly and often unchecked. Detecting and combating fake news is crucial to maintaining the…

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Predicting customer lifetime value for telecommunications businesses using call detail records and machine learning – Complete Phd and Masters Thesis

Predicting customer lifetime value for telecommunications businesses using call detail records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s highly competitive telecommunications industry, customer lifetime value (CLV) has become a critical metric for businesses to understand and quantify the long-term value of their customers. By predicting CLV, telecommunications companies can…

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Sentiment analysis of social media posts for public health surveillance using text mining and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of social media posts for public health surveillance using text mining and deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction Social media platforms have become a popular venue for individuals to express their thoughts, opinions, and emotions. The vast amount of data generated by social media users has led to the emergence of…

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Customer churn prediction in the credit card industry using transaction data and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the credit card industry using transaction data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the credit card industry has experienced significant growth, with more consumers relying on credit cards for their daily transactions. With this increase in credit card usage, the issue of customer…

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Anomaly detection in financial transactions using graph analysis and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in financial transactions using graph analysis and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Anomaly detection in financial transactions plays a crucial role in identifying and preventing fraudulent activities that pose significant risks to financial institutions and their customers. Traditional methods of anomaly detection often fall short…

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Predicting patient treatment outcomes using clinical trial data and machine learning – Complete Phd and Masters Thesis

Predicting patient treatment outcomes using clinical trial data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction The field of healthcare is constantly evolving with the advancement of technology and the availability of vast amounts of patient data. Clinical trials play a crucial role in testing the effectiveness of various…

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Recommender systems for online grocery shopping using customer preferences and purchase history – Complete Phd and Masters Thesis

Recommender systems for online grocery shopping using customer preferences and purchase history – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, online grocery shopping has become increasingly popular among consumers due to its convenience and time-saving benefits. With the rise of e-commerce platforms, customers can now purchase their groceries from the…

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