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Credit risk assessment for car loans – Complete Phd and Masters Thesis

Credit risk assessment for car loans – Complete Phd and Masters Thesis

[ad_1] Introduction: Credit risk assessment is a crucial process in the lending industry, especially in the area of car loans. With the increasing number of individuals seeking financial assistance to purchase vehicles, it is important…

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Predicting customer churn in subscription businesses – Complete Phd and Masters Thesis

Predicting customer churn in subscription businesses – Complete Phd and Masters Thesis

[ad_1] Introduction The rapid growth of subscription-based business models in recent years has led to an increased focus on predicting and reducing customer churn. Customer churn, or the rate at which customers stop subscribing to…

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Time series forecasting for resource allocation – Complete Phd and Masters Thesis

Time series forecasting for resource allocation – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s rapidly changing world, effective resource allocation has become a critical factor for the success of businesses and organizations. Time series forecasting is a powerful tool that can help decision-makers predict future…

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Music genre classification for royalty distribution – Complete Phd and Masters Thesis

Music genre classification for royalty distribution – Complete Phd and Masters Thesis

[ad_1] Introduction Music genre classification is essential for various applications in the music industry, including royalty distribution. With the increasing availability of digital music and the rise of streaming services, accurately classifying music genres has…

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Predictive modeling for content engagement – Complete Phd and Masters Thesis

Predictive modeling for content engagement – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, the amount of content available online is overwhelming. With so much information competing for the attention of users, content creators are constantly looking for ways to engage their audiences…

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Sentiment analysis of employee surveys – Complete Phd and Masters Thesis

Sentiment analysis of employee surveys – Complete Phd and Masters Thesis

[ad_1] Introduction: Employee surveys are an essential tool for organizations to gather feedback from their employees regarding various aspects of the workplace environment, including job satisfaction, engagement, and overall organizational culture. The analysis of employee…

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Social network analysis for organizational culture – Complete Phd and Masters Thesis

Social network analysis for organizational culture – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s fast-paced and interconnected world, understanding the dynamics of social networks within organizations has become increasingly important. Social network analysis (SNA) is a powerful tool that can be used to uncover hidden…

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Emotion recognition from voice interactions – Complete Phd and Masters Thesis

Emotion recognition from voice interactions – Complete Phd and Masters Thesis

[ad_1] Introduction Emotion recognition from voice interactions is a growing area of research within the field of artificial intelligence and human-computer interaction. The ability to accurately detect and interpret emotions from speech signals has numerous…

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Traffic speed estimation using computer vision – Complete Phd and Masters Thesis

Traffic speed estimation using computer vision – Complete Phd and Masters Thesis

[ad_1] Introduction: Traffic speed estimation is crucial for various transportation management and planning applications, such as congestion detection, traffic flow optimization, and accident prevention. Traditional methods of speed estimation rely on the use of loop…

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Predictive analytics for crime prevention – Complete Phd and Masters Thesis

Predictive analytics for crime prevention – Complete Phd and Masters Thesis

[ad_1] Introduction Predictive analytics has been increasingly utilized in various fields such as marketing, healthcare, finance, and now in crime prevention. The ability to predict future events based on historical data and patterns has been…

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