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Secure multi-party computation for privacy-preserving data analysis in smart cities – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: In recent years, the proliferation of smart cities has led to an abundance of data being generated from various sources such as sensors, mobile devices, and social media platforms. While this data…

Quantum-resistant encryption for satellite communications – Complete Phd and Masters Thesis

[ad_1] Introduction The advancement of quantum computing technology poses a significant threat to current encryption methods used in satellite communications. As quantum computers have the potential to break cryptographic algorithms that are currently considered secure,…

Deep reinforcement learning for robotic manipulation in unstructured environments – Complete Phd and Masters Thesis

[ad_1] Title: Deep Reinforcement Learning for Robotic Manipulation in Unstructured Environments 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…

Privacy-preserving federated learning for mobile health applications – Complete Phd and Masters Thesis

[ad_1] Introduction Privacy-preserving federated learning has emerged as a promising approach to address the privacy concerns associated with sharing sensitive data in mobile health applications. With the increasing use of smartphones and wearable devices for…

Swarm robotics for search and rescue operations in disaster zones – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of swarm robotics for search and rescue operations in disaster zones has gained significant attention due to its potential to enhance the effectiveness of response efforts in such…

Generative adversarial networks for voice conversion – Complete Phd and Masters Thesis

[ad_1] Introduction Generative adversarial networks (GANs) have gained significant attention in recent years for their ability to generate high-quality data, such as images, texts, and voices, using a generative model trained with a discriminative model.…

Federated learning for privacy-preserving recommendation systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the increasing use of recommendation systems in various online platforms has raised concerns about user privacy. Traditional recommendation systems often require access to sensitive user data in order to provide…

Deep learning for satellite image analysis – Complete Phd and Masters Thesis

[ad_1] Introduction Deep learning has emerged as a powerful tool in the field of satellite image analysis due to its ability to automatically learn features from raw data without the need for manual feature engineering.…

Automated software localization and internationalization – Complete Phd and Masters Thesis

[ad_1] Introduction Automated software localization and internationalization have become increasingly important in today’s globalized world where businesses are expanding their reach to international markets. Localization refers to the process of adapting a software application to…

Computer vision for automated license plate recognition – Complete Phd and Masters Thesis

[ad_1] Introduction Computer vision is a rapidly growing field in artificial intelligence that focuses on enabling computers to interpret and understand visual information from the world around them. One of the many applications of computer…

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