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Quantum-inspired optimization for airport gate assignment – Complete Phd and Masters Thesis

Quantum-inspired optimization for airport gate assignment – Complete Phd and Masters Thesis

[ad_1] Introduction Airport gate assignment is a crucial logistical problem in airport operations, as it directly impacts the efficiency of the entire airport system. The assignment of gates to arriving and departing flights plays a…

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

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…

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Interpretable machine learning for medical diagnosis – Complete Phd and Masters Thesis

Interpretable machine learning for medical diagnosis – Complete Phd and Masters Thesis

[ad_1] Introduction Interpretable machine learning has gained significant interest in the field of medical diagnosis due to its potential to improve decision-making processes and provide insights into the underlying factors contributing to disease diagnosis. With…

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

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

[ad_1] Introduction Quantum error correction is a critical aspect of quantum computing that aims to protect quantum information from errors caused by noise and other imperfections. In the context of quantum simulation, where quantum systems…

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

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

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…

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

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…

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Neuromorphic computing for brain-inspired computing – Complete Phd and Masters Thesis

Neuromorphic computing for brain-inspired computing – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has gained significant attention in recent years as a promising approach to develop brain-inspired computing systems. Drawing inspiration from the human brain’s ability to process information in a highly efficient and…

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Homomorphic encryption for privacy-preserving deep learning – Complete Phd and Masters Thesis

Homomorphic encryption for privacy-preserving deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing use of deep learning in various industries, there is a growing concern about the privacy of sensitive data that is used to train these models. Homomorphic encryption has emerged as…

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

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…

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