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Generative AI for automated music composition – Complete Phd and Masters Thesis

Generative AI for automated music composition – Complete Phd and Masters Thesis

[ad_1] Introduction Generative artificial intelligence (AI) has revolutionized many industries, including music composition. With the advancement of technology, AI systems are now capable of composing music that rivals the work of human composers. This thesis…

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Emotion recognition for driver monitoring systems – Complete Phd and Masters Thesis

Emotion recognition for driver monitoring systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the development of driver monitoring systems has become increasingly important in the field of automotive safety. These systems are designed to detect and monitor the driver’s state and behavior in…

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Computer vision for facial recognition in public spaces – Complete Phd and Masters Thesis

Computer vision for facial recognition in public spaces – Complete Phd and Masters Thesis

[ad_1] Introduction Computer vision for facial recognition in public spaces has become an increasingly prevalent and controversial topic in recent years. With advancements in technology, governments and private companies are implementing facial recognition systems in…

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Natural language processing for sentiment analysis in financial markets – Complete Phd and Masters Thesis

Natural language processing for sentiment analysis in financial markets – Complete Phd and Masters Thesis

[ad_1] Introduction Natural language processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and humans through natural language. Sentiment analysis, a subfield of NLP, aims to determine the sentiment…

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Explainable AI for automated resume screening – Complete Phd and Masters Thesis

Explainable AI for automated resume screening – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of artificial intelligence (AI) systems in the recruitment process has become increasingly popular. These systems help to automate the initial screening of resumes, saving time for recruiters and…

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Automated software documentation generation using AI – Complete Phd and Masters Thesis

Automated software documentation generation using AI – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of Artificial Intelligence (AI) has made significant advancements, revolutionizing various industries and processes. One such area that has seen a surge in AI applications is software development. One…

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Emotion AI for customer experience optimization – Complete Phd and Masters Thesis

Emotion AI for customer experience optimization – Complete Phd and Masters Thesis

[ad_1] Introduction Emotion AI, also known as affective computing, is a groundbreaking technology that enables machines to understand and respond to human emotions. With the rise of e-commerce and digital platforms, understanding customer emotions has…

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AI-driven cybersecurity threat hunting – Complete Phd and Masters Thesis

AI-driven cybersecurity threat hunting – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, cybersecurity threats are becoming increasingly sophisticated and difficult to detect using traditional methods. As a result, organizations are turning to Artificial Intelligence (AI) powered technologies to enhance their cybersecurity…

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Explainable AI for credit scoring and loan approval – Complete Phd and Masters Thesis

Explainable AI for credit scoring and loan approval – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, Artificial Intelligence (AI) has played a significant role in revolutionizing various industries, including finance. One of the key applications of AI in the finance sector is credit scoring and loan…

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Federated learning for distributed anomaly detection – Complete Phd and Masters Thesis

Federated learning for distributed anomaly detection – Complete Phd and Masters Thesis

[ad_1] Introduction: Federated learning is a machine learning approach that enables training models across multiple decentralized edge devices while keeping data localized, thus preserving privacy. This technique has gained significant attention in recent years due…

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