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Secure multi-party computation for privacy-preserving clustering – Complete Phd and Masters Thesis

[ad_1] Introduction Secure multi-party computation (MPC) is a subfield of cryptography that enables parties to jointly compute a function of their inputs while keeping those inputs private. Privacy-preserving clustering is a data mining technique that…

Quantum machine learning for quantum algorithm design – Complete Phd and Masters Thesis

[ad_1] **Thesis Overview on Quantum Machine Learning for Quantum Algorithm Design** Quantum machine learning is a burgeoning field that combines the principles of quantum mechanics with the algorithms of machine learning to develop new computational…

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…

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…

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…

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…

Distributed ledger technology for decentralized identity management – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, there has been a growing interest in the potential of Distributed Ledger Technology (DLT) to revolutionize various industries, including identity management. Decentralized identity management using DLT has the potential to…

Serverless computing for big data analytics – Complete Phd and Masters Thesis

[ad_1] Introduction: Serverless computing has emerged as a promising technology for big data analytics, offering a scalable and cost-effective solution for processing and analyzing large volumes of data. With serverless computing, developers can focus on…

Reinforcement learning for robotic manipulation – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, robotic manipulation has gained significant attention due to its potential applications in various industries such as manufacturing, healthcare, and agriculture. Reinforcement learning, a type of machine learning algorithm, has shown…

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