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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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Investigating the legal challenges and opportunities of personalized education and edtech – Complete Phd and Masters Thesis

Investigating the legal challenges and opportunities of personalized education and edtech – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a significant shift in the field of education towards personalized learning experiences and the integration of educational technology (edtech) in the classroom. This shift has presented both…

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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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Analyzing the effectiveness of data breach notification laws and cybersecurity regulations – Complete Phd and Masters Thesis

Analyzing the effectiveness of data breach notification laws and cybersecurity regulations – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing reliance on digital technologies and the rise of cyber threats, data breach incidents have become a major concern for organizations and individuals alike. In response to these threats, governments around…

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Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

Sentiment analysis of customer feedback for service quality improvement using text mining and natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction Customer feedback is an invaluable source of information for businesses seeking to improve their service quality. As the digital age continues to evolve, the volume of customer feedback available online has increased significantly.…

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Assessing the impact of school-based mindfulness programs on student stress and anxiety – Complete Phd and Masters Thesis

Assessing the impact of school-based mindfulness programs on student stress and anxiety – Complete Phd and Masters Thesis

[ad_1] Introduction: School-based mindfulness programs have become increasingly popular in recent years as a potential intervention for reducing student stress and anxiety. The pressures faced by students in today’s educational environment are higher than ever,…

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Examining the role of teacher emotional support in fostering student resilience – Complete Phd and Masters Thesis

Examining the role of teacher emotional support in fostering student resilience – Complete Phd and Masters Thesis

[ad_1] Introduction In the field of education, fostering student resilience has become an increasingly important topic of research. Resilience is defined as the ability to overcome adversity and challenges, and it is essential for student…

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

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

[ad_1] Introduction Recommender systems have become an essential tool for online retailers to enhance the shopping experience of customers by providing personalized product recommendations based on their browsing and purchase history. These systems utilize customer…

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