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Low-Code/No-Code Platforms for Citizen Development – Complete Phd and Masters Thesis

Low-Code/No-Code Platforms for Citizen Development – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the emergence of Low-Code/No-Code platforms has revolutionized the way software applications are developed. These platforms allow users with little to no coding experience, known as citizen developers, to create applications…

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Knowledge Graphs and Semantic Web for Enterprise Search – Complete Phd and Masters Thesis

Knowledge Graphs and Semantic Web for Enterprise Search – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s information-driven world, the ability to effectively search and retrieve relevant information is crucial for businesses to stay competitive and make informed decisions. Enterprise search is a technology that enables organizations to…

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Graph Neural Networks for Recommendation Systems – Complete Phd and Masters Thesis

Graph Neural Networks for Recommendation Systems – Complete Phd and Masters Thesis

[ad_1] Introduction Graph Neural Networks (GNNs) have shown promising results in various fields such as social network analysis, drug discovery, and recommendation systems. In recommendation systems, GNNs have been increasingly used to leverage the rich…

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Federated Learning for Collaborative AI Model Training – Complete Phd and Masters Thesis

Federated Learning for Collaborative AI Model Training – Complete Phd and Masters Thesis

[ad_1] Introduction Federated Learning is a novel approach to training machine learning models that allows multiple parties to collaborate and share information without actually sharing their data. This collaborative technique has gained significant attention in…

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Edge Computing and Fog Computing for Autonomous Vehicles – Complete Phd and Masters Thesis

Edge Computing and Fog Computing for Autonomous Vehicles – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a significant increase in the development and adoption of autonomous vehicles. These vehicles rely on cutting-edge technologies such as artificial intelligence, machine learning, and advanced sensor systems…

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Data Lakes and Data Warehousing for Big Data Analytics – Complete Phd and Masters Thesis

Data Lakes and Data Warehousing for Big Data Analytics – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s data-driven world, organizations are faced with the challenge of managing and analyzing vast amounts of data to extract valuable insights and drive strategic decision-making. The rise of Big Data has necessitated…

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Text Summarization and Question Answering using Deep Learning – Complete Phd and Masters Thesis

Text Summarization and Question Answering using Deep Learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Text summarization and question answering are two important tasks in the field of natural language processing (NLP). With the exponential growth of textual data on the internet, there is a pressing need for…

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Robotic Process Automation for Accounting and Finance – Complete Phd and Masters Thesis

Robotic Process Automation for Accounting and Finance – Complete Phd and Masters Thesis

[ad_1] Introduction Robotic Process Automation (RPA) has gained significant attention in recent years as a powerful tool for automating repetitive and rule-based tasks in various industries. In the field of Accounting and Finance, RPA has…

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Quantum Cryptography and Post-Quantum Cryptography – Complete Phd and Masters Thesis

Quantum Cryptography and Post-Quantum Cryptography – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum Cryptography and Post-Quantum Cryptography are two significant areas in the field of cryptography that have gained increasing attention in recent years. Quantum Cryptography utilizes principles of quantum mechanics to provide secure communication…

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Privacy-Preserving Federated Learning for Healthcare – Complete Phd and Masters Thesis

Privacy-Preserving Federated Learning for Healthcare – Complete Phd and Masters Thesis

[ad_1] Introduction: Privacy-Preserving Federated Learning has emerged as a promising approach for healthcare analytics, allowing multiple healthcare institutions to collaboratively train machine learning models without sharing sensitive patient data. This thesis aims to explore the…

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