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Predictive maintenance for HVAC systems using sensor data and machine learning – Complete Phd and Masters Thesis

Predictive maintenance for HVAC systems using sensor data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Predictive maintenance for HVAC systems using sensor data and machine learning is a crucial area of research that aims to improve the efficiency and reliability of heating, ventilation, and air conditioning systems in…

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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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Customer churn prediction in the telecommunications industry using call detail records and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the telecommunications industry using call detail records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In the telecommunications industry, customer churn prediction plays a crucial role in retaining customers and maximizing revenue. The ability to accurately predict when a customer is likely to churn can help telecom companies…

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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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Recommender systems for online education using student performance data and course content – Complete Phd and Masters Thesis

Recommender systems for online education using student performance data and course content – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, online education has become increasingly popular, offering students flexibility and convenience in pursuing their academic goals. However, with the vast amount of online courses available, students often struggle to find…

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Sentiment analysis of customer reviews for brand reputation management using text mining and machine learning – Complete Phd and Masters Thesis

Sentiment analysis of customer reviews for brand reputation management using text mining and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, customer reviews play a crucial role in shaping brand reputation. Consumers often base their purchasing decisions on the opinions and experiences shared by others online. As such, businesses must…

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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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Social network analysis for talent acquisition and employee referral programs – Complete Phd and Masters Thesis

Social network analysis for talent acquisition and employee referral programs – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s competitive job market, organizations are constantly looking for innovative ways to attract and retain top talent. Traditional methods of talent acquisition, such as job postings and recruitment agencies, are no longer…

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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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Predicting customer satisfaction for ride-hailing services using trip data and machine learning – Complete Phd and Masters Thesis

Predicting customer satisfaction for ride-hailing services using trip data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction With the rise of ride-hailing services such as Uber and Lyft, there has been an increasing interest in understanding and predicting customer satisfaction in this rapidly growing industry. Customer satisfaction is a crucial…

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