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Reinforcement learning for adaptive video streaming – Complete Phd and Masters Thesis

[ad_1] Introduction Reinforcement learning (RL) is a powerful machine learning technique that has gained significant attention in recent years due to its ability to enable intelligent decision-making in dynamic and uncertain environments. One such application…

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

[ad_1] Introduction: In recent years, with the rapid advancement of technology and the proliferation of smart devices, the need for effective anomaly detection techniques has become crucial. Anomaly detection plays a vital role in identifying…

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…

Decentralized reputation systems using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralized reputation systems using blockchain have gained significant interest in recent years due to the potential they hold to revolutionize the way we establish trust in online interactions. By leveraging the transparency and…

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…

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…

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

[ad_1] Introduction Transfer learning has emerged as a powerful technique in machine learning, where knowledge learned from one domain is transferred to another related domain to improve performance. In the context of cross-modal retrieval, transfer…

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…

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…

Generative adversarial networks for text-to-image synthesis – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate realistic images from text descriptions. In the field of text-to-image synthesis, GANs have shown promising results in…

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