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Differential privacy for location-based services – Complete Phd and Masters Thesis

[ad_1] Introduction Differential privacy is a concept that has gained significant attention in recent years, particularly in the context of location-based services. With the increasing use of location data for various applications such as personalized…

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

[ad_1] Introduction Chapter 1: Zero-shot Learning for Image Captioning 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…

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

[ad_1] Introduction: With the advancement of technology and biomedical research, drug-drug interactions (DDIs) have become a significant concern in the field of pharmacology. DDIs occur when two or more drugs interact with each other, leading…

Federated reinforcement learning for smart grid optimization – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the integration of artificial intelligence and machine learning techniques in the optimization of smart grid systems has gained significant attention. Smart grids are complex systems that require efficient optimization strategies…

Transfer learning for multi-lingual text classification – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has gained significant attention in the field of machine learning, particularly in tasks involving multi-lingual text classification. With the rapid growth of digital content in multiple languages, the ability to effectively…

Neuromorphic computing for edge AI – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is a rapidly evolving field that aims to replicate the structure and functionality of the human brain in artificial intelligence systems. By mimicking the brain’s neural networks, neuromorphic computing offers the…

Tag: business information technology master’s degree

Differential privacy for location-based services – 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

Federated reinforcement learning for smart grid optimization – Complete Phd and Masters Thesis

Transfer learning for multi-lingual text classification – Complete Phd and Masters Thesis

Neuromorphic computing for edge AI – Complete Phd and Masters Thesis

Distributed ledger technology for supply chain traceability – Complete Phd and Masters Thesis

Serverless computing for IoT data processing – Complete Phd and Masters Thesis

Secure multi-party computation for federated learning – Complete Phd and Masters Thesis

Reinforcement learning for network traffic optimization – Complete Phd and Masters Thesis