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Social network analysis for misinformation tracking – Complete Phd and Masters Thesis

Social network analysis for misinformation tracking – Complete Phd and Masters Thesis

[ad_1] Introduction Social network analysis has emerged as a powerful tool in the study of information dissemination and influence in online networks. With the rise of social media platforms, misinformation and fake news have become…

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Autonomous drone surveillance for wildlife conservation – Complete Phd and Masters Thesis

Autonomous drone surveillance for wildlife conservation – Complete Phd and Masters Thesis

[ad_1] Introduction Wildlife conservation is becoming increasingly important as human activities continue to encroach on natural habitats and threaten the survival of many species. Autonomous drone surveillance offers a promising solution to monitor and protect…

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Forecasting demand for on-demand services – Complete Phd and Masters Thesis

Forecasting demand for on-demand services – Complete Phd and Masters Thesis

[ad_1] Introduction: As the popularity of on-demand services continues to rise, accurately forecasting demand for these services has become increasingly important for service providers. Forecasting demand for on-demand services can help service providers optimize their…

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Emotion recognition from wearable device data – Complete Phd and Masters Thesis

Emotion recognition from wearable device data – Complete Phd and Masters Thesis

[ad_1] Introduction Emotion recognition is a crucial aspect of human-computer interaction, with applications ranging from healthcare to gaming. Wearable devices have the potential to revolutionize the field by providing real-time data that can be used…

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Fake news detection in encrypted messaging apps – Complete Phd and Masters Thesis

Fake news detection in encrypted messaging apps – Complete Phd and Masters Thesis

[ad_1] Introduction: Fake news has become a prominent issue in today’s digital age, particularly with the rise of social media and encrypted messaging apps. The spread of false information through these platforms has the potential…

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Predictive analytics for sports injury prevention – Complete Phd and Masters Thesis

Predictive analytics for sports injury prevention – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of sports injury prevention has gained significant attention as sports organizations strive to reduce the risk of injuries among athletes. One emerging approach that holds great promise in…

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Speech recognition for voice-controlled home automation – Complete Phd and Masters Thesis

Speech recognition for voice-controlled home automation – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a significant advancement in technology leading to the development of innovative smart home systems. One such innovation is voice-controlled home automation systems, which utilize speech recognition technology…

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Sentiment analysis of video game reviews – Complete Phd and Masters Thesis

Sentiment analysis of video game reviews – Complete Phd and Masters Thesis

[ad_1] Introduction Video games have become a popular form of entertainment and a massive industry worldwide. With millions of games available on various platforms, it can be overwhelming for consumers to make informed decisions about…

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Natural language processing for automated customer service – Complete Phd and Masters Thesis

Natural language processing for automated customer service – Complete Phd and Masters Thesis

[ad_1] Introduction Natural language processing (NLP) has become increasingly popular in the field of automated customer service as companies strive to improve customer satisfaction and efficiency. NLP involves the interaction between computers and human language…

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Image segmentation for virtual try-on applications – Complete Phd and Masters Thesis

Image segmentation for virtual try-on applications – Complete Phd and Masters Thesis

[ad_1] Introduction Image segmentation is a fundamental task in computer vision that involves partitioning an image into multiple segments to simplify the representation of an image. In recent years, with the advancement of deep learning…

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