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Big data analytics for e-commerce – Complete Phd and Masters Thesis

Big data analytics for e-commerce – Complete Phd and Masters Thesis

[ad_1] Introduction E-commerce has rapidly grown in popularity over the past few decades, with more and more consumers turning to online shopping for their everyday needs. With the increasing amount of data being generated from…

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Cybersecurity measures for critical infrastructure – Complete Phd and Masters Thesis

Cybersecurity measures for critical infrastructure – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the increasing digitization of critical infrastructure systems has brought about significant advancements in efficiency, reliability, and connectivity. However, this reliance on interconnected systems has also introduced new vulnerabilities and risks,…

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Neuromorphic computing for energy-efficient edge AI in IoT devices – Complete Phd and Masters Thesis

Neuromorphic computing for energy-efficient edge AI in IoT devices – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has emerged as a promising technology for implementing artificial intelligence (AI) applications in Internet of Things (IoT) devices. These devices typically have limited resources and operate at the edge of the…

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Quantum machine learning for drug discovery and development – Complete Phd and Masters Thesis

Quantum machine learning for drug discovery and development – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum machine learning has emerged as a powerful tool in the field of drug discovery and development. With the increasing complexity of diseases and the need for more efficient and targeted treatments, traditional…

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Edge AI for real-time video analytics in smart cities – Complete Phd and Masters Thesis

Edge AI for real-time video analytics in smart cities – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the development of smart cities has gained momentum thanks to advancements in technology such as the Internet of Things (IoT) and artificial intelligence (AI). The integration of these technologies has…

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Emotion recognition for adaptive in-vehicle infotainment systems – Complete Phd and Masters Thesis

Emotion recognition for adaptive in-vehicle infotainment systems – Complete Phd and Masters Thesis

[ad_1] Introduction: Emotion recognition has gained significant attention in recent years, especially in the context of adaptive in-vehicle infotainment systems. These systems aim to provide a personalized and engaging experience for drivers and passengers by…

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Edge computing for real-time industrial process control – Complete Phd and Masters Thesis

Edge computing for real-time industrial process control – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the adoption of Edge computing in industrial settings has gained significant attention due to its ability to provide real-time processing and decision-making capabilities. Edge computing involves the use of computational…

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Explainable AI for automated credit scoring systems – Complete Phd and Masters Thesis

Explainable AI for automated credit scoring systems – Complete Phd and Masters Thesis

[ad_1] Introduction Artificial Intelligence (AI) has revolutionized various industries, including the financial sector, by providing tools for automating decision-making processes. One key application of AI in finance is automated credit scoring systems, which help financial…

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Quantum sensing for enhanced medical diagnostics – Complete Phd and Masters Thesis

Quantum sensing for enhanced medical diagnostics – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum sensing has emerged as a promising technology for enhancing medical diagnostics by providing high sensitivity and resolution for detecting biological markers and imaging biological structures at the molecular level. This thesis aims…

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Automated software performance testing using AI – Complete Phd and Masters Thesis

Automated software performance testing using AI – Complete Phd and Masters Thesis

[ad_1] Introduction Software performance testing is essential for ensuring that a software application can handle a high level of workload without experiencing any performance degradation. Traditionally, performance testing is carried out manually by testers, which…

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