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Quantum-inspired optimization for resource scheduling – Complete Phd and Masters Thesis

Quantum-inspired optimization for resource scheduling – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of quantum computing has gained increasing attention for its potential to revolutionize traditional optimization techniques. Quantum-inspired optimization algorithms, which draw inspiration from the principles of quantum mechanics, have…

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Multi-modal learning for visual question answering – Complete Phd and Masters Thesis

Multi-modal learning for visual question answering – Complete Phd and Masters Thesis

[ad_1] Introduction Visual question answering (VQA) is a challenging task that involves understanding natural language questions about images and generating accurate answers. Multi-modal learning, which combines information from both visual and textual modalities, has shown…

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Differential privacy for secure data publishing – Complete Phd and Masters Thesis

Differential privacy for secure data publishing – Complete Phd and Masters Thesis

[ad_1] Introduction In the era of big data, the need for sharing and publishing data while protecting individual privacy has become increasingly important. Differential privacy has emerged as a prominent framework for achieving this balance…

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

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…

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

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…

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Transfer learning for cross-lingual information retrieval – Complete Phd and Masters Thesis

Transfer learning for cross-lingual information retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction: Transfer learning has emerged as a powerful technique in the field of machine learning, allowing models trained on one task or dataset to be adapted to perform well on another task or dataset.…

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Quantum key distribution for quantum internet – Complete Phd and Masters Thesis

Quantum key distribution for quantum internet – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the concept of a quantum internet has become a topic of significant interest in the field of quantum information science. A quantum internet could potentially revolutionize communication by providing secure…

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

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…

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Distributed ledger technology for carbon credit trading – Complete Phd and Masters Thesis

Distributed ledger technology for carbon credit trading – Complete Phd and Masters Thesis

[ad_1] Introduction Distributed ledger technology (DLT) has gained significant attention in recent years due to its potential to revolutionize various industries, including finance, healthcare, supply chain management, and energy trading. One area where DLT shows…

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Homomorphic encryption for secure data retrieval – Complete Phd and Masters Thesis

Homomorphic encryption for secure data retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction Homomorphic encryption is a revolutionary technology that allows for computations to be performed on encrypted data without decrypting it. This provides a secure way to outsource data storage and processing to third-party servers…

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