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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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Facial recognition for attendance tracking in schools using computer vision and student databases – Complete Phd and Masters Thesis

Facial recognition for attendance tracking in schools using computer vision and student databases – Complete Phd and Masters Thesis

[ad_1] Introduction Facial recognition technology has gained significant traction in recent years, with its applications ranging from security systems to social media tagging. In the educational sector, facial recognition has the potential to improve efficiency…

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Chatbot development for e-commerce using natural language processing and product catalogs – Complete Phd and Masters Thesis

Chatbot development for e-commerce using natural language processing and product catalogs – Complete Phd and Masters Thesis

[ad_1] Introduction: Chatbots have become an increasingly popular tool for e-commerce businesses to enhance customer engagement and streamline the shopping experience. With advancements in natural language processing (NLP) technology, chatbots are now able to understand…

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Customer segmentation for product recommendations using clustering algorithms and customer preferences – Complete Phd and Masters Thesis

Customer segmentation for product recommendations using clustering algorithms and customer preferences – Complete Phd and Masters Thesis

[ad_1] Introduction Customer segmentation is a crucial aspect of marketing strategy as it allows companies to tailor their products and services to specific groups of customers. By identifying customer preferences and behaviors, companies can effectively…

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Fraud detection in the pharmaceutical industry using machine learning and drug distribution data – Complete Phd and Masters Thesis

Fraud detection in the pharmaceutical industry using machine learning and drug distribution data – Complete Phd and Masters Thesis

[ad_1] Introduction Fraud in the pharmaceutical industry has become a major concern in recent years, as fraudulent activities such as counterfeit drugs, tampering, and illegal distribution have serious implications for public health and safety. In…

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Customer churn prediction in the streaming video industry using viewer engagement data and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the streaming video industry using viewer engagement data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: With the increasing popularity of streaming services in the entertainment industry, customer retention has become a critical issue for streaming video providers. Customer churn, or the rate at which subscribers cancel their subscriptions,…

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Anomaly detection in financial markets using stock market data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in financial markets using stock market data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction Anomaly detection in financial markets is a crucial task that helps in identifying irregularities in stock market data and predicting potential market disruptions. With the increasing complexity and volume of financial data generated…

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Predicting patient medication adherence using prescription data and machine learning – Complete Phd and Masters Thesis

Predicting patient medication adherence using prescription data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Predicting patient medication adherence is a crucial aspect of healthcare that can significantly impact patient outcomes and healthcare costs. Medication non-adherence is a widespread issue that can lead to poor health outcomes, increased…

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and app data – Complete Phd and Masters Thesis

and app data – Complete Phd and Masters Thesis

[ad_1] Introduction In the ever-evolving world of technology, mobile applications have become an integral part of our daily lives. With the increasing popularity of smartphones and tablets, the demand for mobile apps has soared, leading…

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