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Traffic accident severity prediction using deep learning and weather data – Complete Phd and Masters Thesis

Traffic accident severity prediction using deep learning and weather data – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic accidents are a major cause of injuries and fatalities worldwide, leading to significant social and economic impacts. Predicting accident severity can help in implementing preventive measures, improving emergency response, and reducing the…

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Customer segmentation for personalized health interventions using clustering algorithms and health data – Complete Phd and Masters Thesis

Customer segmentation for personalized health interventions using clustering algorithms and health data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in personalized health interventions, where healthcare services are tailored to individual needs and characteristics. Customer segmentation, a technique used in marketing to divide customers…

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Predictive modeling for fraud detection in the public sector using government data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for fraud detection in the public sector using government data and machine learning – Complete Phd and Masters Thesis

[ad_1] **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 Scope of study 1.7 Significance of study 1.8 Structure of the Thesis 1.9…

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Customer churn prediction in the e-learning industry using student engagement data and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the e-learning industry using student engagement data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: The growth of the e-learning industry in recent years has transformed the way educational content is delivered to students across the globe. With the increasing popularity of online courses and virtual classrooms, e-learning…

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Predicting patient outcomes using electronic health records and machine learning – Complete Phd and Masters Thesis

Predicting patient outcomes using electronic health records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: The use of electronic health records (EHR) has become increasingly prevalent in healthcare settings, providing a valuable source of data for researchers and healthcare professionals. With the advancements in machine learning algorithms, there…

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Recommender systems for online dating using user profiles and interaction data – Complete Phd and Masters Thesis

Recommender systems for online dating using user profiles and interaction data – Complete Phd and Masters Thesis

[ad_1] Introduction With the rise of online dating platforms, the need for effective recommender systems has become increasingly important. Recommender systems utilize user profiles and interaction data to suggest potential matches to users, ultimately improving…

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Sentiment analysis of social media conversations for crisis management using text mining and machine learning – Complete Phd and Masters Thesis

Sentiment analysis of social media conversations for crisis management using text mining and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Social media has become an integral part of our daily lives, providing a platform for individuals to express their thoughts, emotions, and opinions on various topics. In times of crisis, such as natural…

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Demand forecasting for hospital resource planning using time series analysis and patient data – Complete Phd and Masters Thesis

Demand forecasting for hospital resource planning using time series analysis and patient data – Complete Phd and Masters Thesis

[ad_1] Introduction Demand forecasting plays a crucial role in hospital resource planning, as it involves predicting future patient volumes and healthcare service needs. By accurately forecasting demand, hospitals can optimize resource allocation, improve patient satisfaction,…

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Social network analysis for customer referral programs and viral marketing campaigns – Complete Phd and Masters Thesis

Social network analysis for customer referral programs and viral marketing campaigns – Complete Phd and Masters Thesis

[ad_1] Introduction Social network analysis (SNA) has become a popular and powerful tool in understanding the dynamics of social relationships, communication patterns, and influence within a network. This methodological approach has been widely used in…

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and crowdsourcing – Complete Phd and Masters Thesis

and crowdsourcing – Complete Phd and Masters Thesis

[ad_1] Introduction Crowdsourcing has become a popular and effective method for businesses and organizations to harness the collective intelligence and resources of a large group of people, typically through an online platform. This research aims…

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