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Multi-modal learning for video captioning – Complete Phd and Masters Thesis

[ad_1] Introduction Chapter 1: Introduction 1.1 Introduction 1.2 Background of study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis…

Zero-shot learning for language translation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning is a popular topic in the field of machine learning and natural language processing that aims to enable machines to perform tasks without the need for labeled training data. In the…

Graph neural networks for fraud detection in financial networks – Complete Phd and Masters Thesis

[ad_1] Introduction Financial fraud is a pervasive issue that continues to challenge financial institutions worldwide. The advent of advanced Machine Learning and Deep Learning techniques has provided novel solutions to tackle this problem. Graph neural…

Quantum key distribution for secure cloud storage – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum key distribution (QKD) has emerged as a promising technology for achieving secure communication in the era of cloud storage. With the increasing reliance on cloud services for storing sensitive information, the need…

Zero-knowledge proofs for privacy-preserving data aggregation – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-knowledge proofs have emerged as a powerful tool in cryptography for ensuring the privacy and security of data during aggregation processes. In the era of big data, preserving the privacy of individuals’ sensitive…

Explainable deep learning for financial forecasting – Complete Phd and Masters Thesis

[ad_1] Introduction Deep learning has gained significant attention in recent years due to its ability to effectively model complex relationships in data and make accurate predictions. In the field of finance, deep learning has shown…

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable federated learning – 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 ensuring privacy and security in various applications. In the context of federated learning, where multiple parties collaborate to…

Federated transfer learning for cross-device federated learning – Complete Phd and Masters Thesis

[ad_1] Introduction In the era of big data and connected devices, federated learning has emerged as a promising approach to collaborative machine learning without compromising data privacy. Federated transfer learning extends the concept of federated…

Decentralized social networks using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralization has been a hot topic in recent years, with many industries exploring ways to shift away from centralized systems towards more distributed and transparent alternatives. This shift has also been seen in…

Quantum-inspired optimization for vehicle routing problems – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum-inspired optimization algorithms have gained significant attention in recent years due to their ability to solve complex optimization problems efficiently. One such problem that can benefit from quantum-inspired optimization is the vehicle routing…

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