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Serverless computing for real-time data processing – Complete Phd and Masters Thesis

[ad_1] Introduction Serverless computing is a cloud computing paradigm that allows developers to build and run applications without the need to manage the underlying infrastructure. In serverless computing, the cloud provider dynamically manages the allocation…

Zero-knowledge proofs for secure e-voting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, electronic voting (e-voting) has gained popularity as a means to conduct secure and efficient elections. However, concerns about the security and integrity of e-voting systems have also been raised. One…

Generative adversarial networks for data augmentation – Complete Phd and Masters Thesis

[ad_1] Introduction: Generative adversarial networks (GANs) have emerged as a powerful tool for data augmentation in recent years. Data augmentation is a crucial technique in machine learning and computer vision tasks, as it allows for…

Reinforcement learning for resource allocation in cloud computing – 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…

Quantum machine learning for materials discovery – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of materials discovery has undergone a rapid transformation due to the advancements in quantum machine learning techniques. Quantum machine learning combines concepts from quantum mechanics and machine learning…

Tag: ms information technology

Serverless computing for real-time data processing – Complete Phd and Masters Thesis

Zero-knowledge proofs for secure e-voting – Complete Phd and Masters Thesis

Generative adversarial networks for data augmentation – Complete Phd and Masters Thesis

Reinforcement learning for resource allocation in cloud computing – Complete Phd and Masters Thesis

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

Quantum-resistant digital signatures – Complete Phd and Masters Thesis

Quantum machine learning for materials discovery – Complete Phd and Masters Thesis

Quantum error correction for quantum machine learning – Complete Phd and Masters Thesis

Zero-shot learning for image captioning – Complete Phd and Masters Thesis

Graph neural networks for drug-drug interaction prediction – Complete Phd and Masters Thesis