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Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable multi-party computation – Complete Phd and Masters Thesis

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) have emerged as a powerful cryptographic tool for verifiable multi-party computation. In this thesis, we explore the application of zk-SNARKs in facilitating secure and efficient multi-party…

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Decentralized voting systems using blockchain – Complete Phd and Masters Thesis

Decentralized voting systems using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of blockchain technology has gained significant attention in various industries due to its transparency, security, and decentralization. One particular area where blockchain technology has the potential to revolutionize…

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Zero-shot learning for relation extraction – Complete Phd and Masters Thesis

Zero-shot learning for relation extraction – Complete Phd and Masters Thesis

[ad_1] Introduction: Zero-shot learning for relation extraction is an emerging field in natural language processing that aims to extract relations between entities without requiring any labeled training data for those specific relations. Traditional relation extraction…

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Graph neural networks for knowledge graph completion – Complete Phd and Masters Thesis

Graph neural networks for knowledge graph completion – Complete Phd and Masters Thesis

[ad_1] Introduction: The field of graph neural networks has emerged as a powerful tool for analyzing and processing complex data with graph structures. In recent years, there has been a growing interest in using graph…

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Federated reinforcement learning for edge computing optimization – Complete Phd and Masters Thesis

Federated reinforcement learning for edge computing optimization – Complete Phd and Masters Thesis

[ad_1] Introduction With the rapid growth of Internet of Things (IoT) devices and the increasing demand for real-time data processing, edge computing has emerged as a promising solution to address the limitations of cloud computing.…

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Transfer learning for cross-modal sentiment analysis – Complete Phd and Masters Thesis

Transfer learning for cross-modal sentiment analysis – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, sentiment analysis has gained significant attention in various application domains such as social media, e-commerce, and customer feedback analysis. Sentiment analysis aims to identify and extract subjective information from textual…

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Neuromorphic computing for spiking neural networks – Complete Phd and Masters Thesis

Neuromorphic computing for spiking neural networks – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has emerged as a promising approach to developing brain-inspired computing systems that mimic the behavior of the human brain. Spiking neural networks, which are based on the principles of biological neural…

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Serverless computing for microservices architecture – Complete Phd and Masters Thesis

Serverless computing for microservices architecture – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing is a cloud-computing execution model that allows users to build and run applications and services without the burden of managing infrastructure. This model abstracts away the complexity of server management, allowing…

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Generative adversarial networks for video prediction – Complete Phd and Masters Thesis

Generative adversarial networks for video prediction – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Title: Generative Adversarial Networks for Video Prediction Introduction: Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate realistic data samples. Video prediction is a challenging…

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Quantum-resistant secure multi-party computation – Complete Phd and Masters Thesis

Quantum-resistant secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum computing has the potential to revolutionize the field of cryptography by breaking many of the commonly used encryption schemes. As quantum computers become more powerful, it is crucial to develop secure multi-party…

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