Blazingprojects Mobile App

Zero-shot learning for open-domain question answering – Complete Phd and Masters Thesis

[ad_1] Introduction Zero-shot learning (ZSL) is a challenging task in the field of artificial intelligence and machine learning, where the goal is to develop models that can answer questions on unseen topics without any prior…

Graph neural networks for traffic flow prediction – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the application of Graph Neural Networks (GNNs) has gained significant attention in various fields such as social networks, biology, and recommendation systems. One of the promising applications of GNNs is…

Federated reinforcement learning for autonomous drone swarms – Complete Phd and Masters Thesis

[ad_1] Introduction Autonomous drone swarms have gained significant attention in various fields such as surveillance, search and rescue operations, and environmental monitoring. However, the effective coordination and collaboration among drones in a swarm pose a…

Secure multi-party computation for collaborative machine learning – 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…

Explainable deep learning for natural language inference – Complete Phd and Masters Thesis

[ad_1] **Introduction** Deep learning models have achieved remarkable success in various natural language processing tasks, including natural language inference (NLI). NLI, also known as textual entailment, aims to determine the logical relationship between a premise…

Quantum-resistant digital signatures – Complete Phd and Masters Thesis

[ad_1] Introduction: As the era of quantum computing approaches, traditional digital signature algorithms are becoming increasingly vulnerable to attacks by quantum computers. Quantum computers have the potential to break widely used encryption schemes such as…

Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) for verifiable computation – Complete Phd and Masters Thesis

[ad_1] Introduction: Zero-knowledge succinct non-interactive arguments of knowledge (zk-SNARKs) are cryptographic protocols that allow one party to prove to another party that they have knowledge of a certain statement without revealing any information about the…

Federated transfer learning for cross-silo data sharing – Complete Phd and Masters Thesis

[ad_1] Introduction Federated transfer learning is a cutting-edge approach in machine learning that leverages knowledge transfer among multiple organizations to enhance predictive models without the need to share sensitive data. Specifically, it aims to address…

Quantum-inspired optimization for portfolio management – Complete Phd and Masters Thesis

[ad_1] Introduction: Quantum-inspired optimization has gained significant attention in recent years for its potential to revolutionize traditional optimization techniques. This research focuses on applying quantum-inspired optimization algorithms to the domain of portfolio management, a complex…

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

[ad_1] Introduction In recent years, with the exponential growth of online multimedia content, there has been an increasing demand for effective video understanding systems. Video understanding plays a crucial role in various applications such as…

Tag: masters in information technology worth it