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Natural language processing for automatic summarization – Complete Phd and Masters Thesis

Natural language processing for automatic summarization – Complete Phd and Masters Thesis

[ad_1] Introduction Natural language processing (NLP) has gained significant attention in recent years due to its ability to process and understand human language. One of the key applications of NLP is automatic summarization, which involves…

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Predictive maintenance for manufacturing robots – Complete Phd and Masters Thesis

Predictive maintenance for manufacturing robots – Complete Phd and Masters Thesis

[ad_1] Introduction Predictive maintenance is a proactive maintenance strategy that involves monitoring the condition of equipment in order to predict when maintenance should be performed. This approach has gained significant attention in recent years due…

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Customer segmentation for energy consumption patterns – Complete Phd and Masters Thesis

Customer segmentation for energy consumption patterns – Complete Phd and Masters Thesis

[ad_1] Introduction The concept of customer segmentation has been widely used in various industries to better understand consumer behavior and preferences. In recent years, with the increasing focus on sustainable energy consumption, there has been…

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Fraud detection in tax returns – Complete Phd and Masters Thesis

Fraud detection in tax returns – Complete Phd and Masters Thesis

[ad_1] Introduction Fraud detection in tax returns is a critical issue faced by governments worldwide. Tax fraud refers to the intentional misrepresentation or concealment of financial information in order to evade taxes. This unethical behavior…

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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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Anomaly detection in blockchain transactions – Complete Phd and Masters Thesis

Anomaly detection in blockchain transactions – Complete Phd and Masters Thesis

[ad_1] Introduction: Anomaly detection in blockchain transactions is a critical area of research within the field of blockchain technology. With the increasing adoption of blockchain technology in various industries, the need to detect and prevent…

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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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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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Forecasting demand for subscription services – Complete Phd and Masters Thesis

Forecasting demand for subscription services – Complete Phd and Masters Thesis

[ad_1] Introduction: Forecasting demand for subscription services is a critical aspect of businesses that offer recurring revenue models. With the rise of subscription-based services in various industries such as media, technology, and retail, accurate forecasting…

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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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