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Quantum error correction for quantum communication – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum communication has the potential to revolutionize the way we transmit and process information by taking advantage of the unique properties of quantum mechanics. However, quantum systems are inherently susceptible to errors due…

Zero-shot learning for video retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning has emerged as a promising approach for video retrieval, as it allows the model to recognize object classes without any training data. This thesis aims to explore the potential of zero-shot…

Graph neural networks for protein-protein interaction prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Protein-protein interactions play a crucial role in various cellular processes and diseases. Understanding the intricate interactions between proteins is essential for drug discovery, disease diagnosis, and treatment. Graph neural networks (GNNs) have emerged…

Neuromorphic computing for real-time anomaly detection – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is a cutting-edge field of study that aims to mimic the structure and functionality of the human brain using hardware and software systems. This approach provides a unique opportunity to develop…

Zero-knowledge proofs for anonymous authentication – Complete Phd and Masters Thesis

[ad_1] Introduction: Zero-knowledge proofs have gained significant attention in recent years due to their ability to provide secure authentication while maintaining user anonymity. This research focuses on utilizing zero-knowledge proofs for anonymous authentication, where users…

Generative adversarial networks for 3D object generation – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in the field of deep learning for their ability to generate realistic and high-quality data, including images, text, and even 3D objects. In recent years,…

Reinforcement learning for dynamic pricing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, dynamic pricing has become a popular strategy among businesses to optimize pricing strategies based on various factors such as demand, competition, and market conditions. With the advancement of machine learning…

Quantum-resistant key exchange protocols – Complete Phd and Masters Thesis

[ad_1] Introduction The rise of quantum computing technology poses a significant threat to the security of current key exchange protocols used in cryptographic systems. Quantum computers have the potential to break traditional encryption schemes, rendering…

Quantum machine learning for financial forecasting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of machine learning has seen significant advancements with the introduction of quantum computing. Quantum machine learning combines the principles of quantum mechanics with traditional machine learning algorithms to…

Decentralized prediction markets using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized prediction markets have gained significant attention in recent years due to their potential to revolutionize the way individuals predict and exchange information about future events. By utilizing blockchain technology, these prediction markets…

Tag: information technology master’s program