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Developing a deep learning-based system for facial recognition and emotion analysis – Complete Phd and Masters Thesis

Developing a deep learning-based system for facial recognition and emotion analysis – Complete Phd and Masters Thesis

[ad_1] Introduction: Facial recognition and emotion analysis are two essential tasks in computer vision and artificial intelligence. The ability to accurately identify faces and analyze emotions from facial expressions has numerous applications, including security, healthcare,…

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Designing a privacy-preserving data sharing framework for collaborative research in academia – Complete Phd and Masters Thesis

Designing a privacy-preserving data sharing framework for collaborative research in academia – Complete Phd and Masters Thesis

[ad_1] Introduction In the contemporary era of big data and collaborative research in academia, the sharing of research data has become increasingly prevalent. However, the rampant growth in data sharing has raised concerns about privacy…

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Investigating the use of natural language processing for automated summarization of legal documents – Complete Phd and Masters Thesis

Investigating the use of natural language processing for automated summarization of legal documents – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the exponential growth of legal documents has posed a significant challenge for legal professionals to efficiently sift through and extract relevant information. Automated summarization of legal documents has emerged as…

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Developing a machine learning-based approach for credit risk assessment in online lending platforms – Complete Phd and Masters Thesis

Developing a machine learning-based approach for credit risk assessment in online lending platforms – Complete Phd and Masters Thesis

[ad_1] Introduction The rise of online lending platforms has revolutionized the way individuals and businesses access credit. These platforms provide a convenient and efficient way for borrowers to obtain loans, often bypassing traditional financial institutions.…

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Developing a reinforcement learning-based approach for traffic flow optimization in smart transportation systems – Complete Phd and Masters Thesis

Developing a reinforcement learning-based approach for traffic flow optimization in smart transportation systems – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the advancement of technology has revolutionized the transportation industry, leading to the development of smart transportation systems that aim to optimize traffic flow and improve overall efficiency. One key area…

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Designing a secure and efficient key management scheme for IoT networks – Complete Phd and Masters Thesis

Designing a secure and efficient key management scheme for IoT networks – Complete Phd and Masters Thesis

[ad_1] Introduction The Internet of Things (IoT) is a network of interconnected devices that have the ability to collect, exchange, and analyze data without human intervention. With the increasing adoption of IoT devices in various…

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Investigating the use of blockchain technology for copyright protection and royalty distribution in the music industry – Complete Phd and Masters Thesis

Investigating the use of blockchain technology for copyright protection and royalty distribution in the music industry – Complete Phd and Masters Thesis

[ad_1] Introduction Blockchain technology has been gaining attention in recent years for its potential to revolutionize various industries, including the music industry. With the rise of digital music distribution and the ease of sharing music…

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Developing a machine learning-based approach for network anomaly detection and classification – Complete Phd and Masters Thesis

Developing a machine learning-based approach for network anomaly detection and classification – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, network security has become a critical issue with the increasing complexity and sophistication of cyber attacks. Anomaly detection is one of the primary methods used to identify and prevent these…

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Designing a secure and scalable architecture for edge computing in smart cities – Complete Phd and Masters Thesis

Designing a secure and scalable architecture for edge computing in smart cities – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the concept of edge computing has gained significant attention due to the increasing demand for real-time data processing and analysis in various applications, particularly in smart cities. Edge computing enables…

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Developing a deep learning-based system for automatic speech recognition in noisy environments – Complete Phd and Masters Thesis

Developing a deep learning-based system for automatic speech recognition in noisy environments – Complete Phd and Masters Thesis

[ad_1] Introduction: Automatic speech recognition (ASR) systems have become increasingly popular in various applications such as virtual assistants, voice-controlled devices, and speech-to-text transcription. However, traditional ASR systems struggle to perform well in noisy environments due…

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