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Serverless computing for scientific workflows – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing has emerged as a promising solution for executing scientific workflows in a cost-effective and scalable manner. By abstracting away the infrastructure management, serverless computing enables researchers to focus on developing and…

Secure multi-party computation for privacy-preserving deep neural networks – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: In recent years, deep learning models have shown remarkable success in various applications such as image recognition, speech recognition, and natural language processing. However, the widespread adoption of these models raises concerns…

Decentralized data marketplaces using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized data marketplaces have emerged as a revolutionary solution for the exchange of data in a secure and transparent manner. Utilizing blockchain technology, these marketplaces provide users with a platform to buy, sell,…

Multi-modal learning for audio-visual speech recognition – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in multi-modal learning for audio-visual speech recognition. This approach leverages both auditory and visual cues to improve the accuracy of speech recognition systems, particularly…

Interpretable machine learning for credit card fraud detection – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the increase in online transactions has led to a rise in credit card fraud cases. This has necessitated the development of more sophisticated fraud detection systems to protect consumers and…

Zero-shot learning for text classification – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning is a cutting-edge technique in machine learning that aims to address the challenge of classifying unseen classes without any prior training data. In the context of text classification, zero-shot learning involves…

Graph neural networks for molecular property prediction – Complete Phd and Masters Thesis

[ad_1] Introduction: Graph neural networks (GNNs) have emerged as a powerful tool in the field of machine learning for various applications, including molecular property prediction. The ability of GNNs to learn from the graph structure…

Neuromorphic computing for event-based vision – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is a cutting-edge technology that mimics the structure and function of the human brain using electronic circuits. This emerging field has shown great potential in revolutionizing artificial intelligence and computer vision…

Zero-knowledge proofs for privacy-preserving machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Privacy-preserving machine learning has become increasingly important in a world where data privacy is a major concern. Zero-knowledge proofs offer a promising solution to this issue by allowing parties to prove the validity…

Generative adversarial networks for image super-resolution – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate high-quality images. In particular, GANs have shown promise in the field of image super-resolution, which aims to…

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