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

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

[ad_1] Introduction: Online dating has become a popular way for individuals to meet potential partners due to the convenience and accessibility of dating platforms. With the vast number of users on these platforms, it can…

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Developing a deep learning-based system for video-based human action recognition – Complete Phd and Masters Thesis

Developing a deep learning-based system for video-based human action recognition – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of computer vision has seen significant advancements, particularly in the area of human action recognition. The ability to automatically recognize and classify human actions in videos has a…

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Developing an autonomous system for warehouse operations – Complete Phd and Masters Thesis

Developing an autonomous system for warehouse operations – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in developing autonomous systems for various industrial applications, including warehouse operations. Autonomous systems have the potential to revolutionize the way warehouses are operated, making…

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Demand forecasting for airline route planning using time series analysis and passenger data – Complete Phd and Masters Thesis

Demand forecasting for airline route planning using time series analysis and passenger data – Complete Phd and Masters Thesis

[ad_1] Introduction: Demand forecasting plays a crucial role in the airline industry for effective route planning, scheduling, and pricing strategies. With the increasing competition and globalization of the aviation market, accurate demand forecasting is essential…

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Social network analysis for influencer marketing and brand partnerships – Complete Phd and Masters Thesis

Social network analysis for influencer marketing and brand partnerships – Complete Phd and Masters Thesis

[ad_1] Introduction Social network analysis has become an essential tool in influencer marketing and brand partnerships in recent years. With the rise of social media platforms, brands are constantly looking for ways to connect with…

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Designing a privacy-preserving data mining framework for smart manufacturing systems – Complete Phd and Masters Thesis

Designing a privacy-preserving data mining framework for smart manufacturing systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, smart manufacturing systems have become increasingly popular due to their ability to improve efficiency and productivity in the manufacturing industry. These systems rely on the collection and analysis of large…

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Assessing the effectiveness of technology-enhanced assessment in language education – Complete Phd and Masters Thesis

Assessing the effectiveness of technology-enhanced assessment in language education – Complete Phd and Masters Thesis

[ad_1] Introduction Technology has become an integral part of education, with various tools and platforms being utilized to enhance teaching and learning processes. In the field of language education, technology-enhanced assessment has gained popularity as…

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Developing an AI system for crop yield prediction using satellite images – Complete Phd and Masters Thesis

Developing an AI system for crop yield prediction using satellite images – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing global population and the growing demand for food, it is crucial to enhance agricultural productivity to meet the needs of the future. Traditional methods of crop yield prediction have limitations…

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Investigating the use of big data analytics for predictive analytics in the retail industry – Complete Phd and Masters Thesis

Investigating the use of big data analytics for predictive analytics in the retail industry – Complete Phd and Masters Thesis

[ad_1] Introduction The retail industry is constantly evolving, with companies facing increasing competition and changing consumer preferences. In order to stay ahead in this competitive landscape, many retail companies are turning to big data analytics…

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Developing a reinforcement learning-based approach for dynamic resource allocation in edge computing – Complete Phd and Masters Thesis

Developing a reinforcement learning-based approach for dynamic resource allocation in edge computing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, edge computing has emerged as a promising paradigm to address the challenges of latency, bandwidth, and reliability in traditional cloud computing systems. Edge computing enables data processing to be done…

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