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Edge Computing and Fog Computing for Intelligent Transportation Systems – Complete Phd and Masters Thesis

Edge Computing and Fog Computing for Intelligent Transportation Systems – Complete Phd and Masters Thesis

[ad_1] Introduction Edge Computing and Fog Computing have emerged as promising technologies for enhancing the efficiency and effectiveness of Intelligent Transportation Systems (ITS). These technologies enable real-time data processing and analytics at the edge of…

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Data Mesh Architecture for Distributed Machine Learning – Complete Phd and Masters Thesis

Data Mesh Architecture for Distributed Machine Learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Data Mesh Architecture for Distributed Machine Learning is an emerging field that focuses on optimizing the performance of machine learning algorithms by distributing data processing tasks across multiple nodes. This approach leverages the…

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Virtual Reality Simulations for Product Design and Prototyping – Complete Phd and Masters Thesis

Virtual Reality Simulations for Product Design and Prototyping – Complete Phd and Masters Thesis

[ad_1] Introduction: Virtual reality simulations have become increasingly popular in various industries, including product design and prototyping. This technology allows designers and engineers to create, test, and refine products in a virtual environment before moving…

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Text Mining and Information Extraction for Scientific Literature Review – Complete Phd and Masters Thesis

Text Mining and Information Extraction for Scientific Literature Review – Complete Phd and Masters Thesis

[ad_1] Introduction Text mining and information extraction are essential techniques in the field of scientific literature review. With the explosion of research papers being published daily, it has become increasingly difficult for researchers to keep…

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Serverless Computing and Function-as-a-Service for Data Streaming Pipelines – Complete Phd and Masters Thesis

Serverless Computing and Function-as-a-Service for Data Streaming Pipelines – Complete Phd and Masters Thesis

[ad_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 1.9 Definition of…

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Robotic Process Automation for Insurance Claims Processing – Complete Phd and Masters Thesis

Robotic Process Automation for Insurance Claims Processing – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the insurance industry has seen a significant increase in the volume of claims being processed due to various environmental factors, such as natural disasters and an aging population. To handle…

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Quantum Inspired Algorithms for Logistics and Supply Chain Optimization – Complete Phd and Masters Thesis

Quantum Inspired Algorithms for Logistics and Supply Chain Optimization – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the application of quantum computing and quantum-inspired algorithms in various fields, including logistics and supply chain management. Quantum computing has the potential to…

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Optimization Algorithms for Traffic Management in Smart Cities – Complete Phd and Masters Thesis

Optimization Algorithms for Traffic Management in Smart Cities – Complete Phd and Masters Thesis

[ad_1] Introduction: With the rapid increase in urbanization worldwide, the challenges associated with traffic management in smart cities have become more pronounced. Smart cities are characterized by the use of various technologies and data to…

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Natural Language Processing for Automated Document Summarization – Complete Phd and Masters Thesis

Natural Language Processing for Automated Document Summarization – Complete Phd and Masters Thesis

[ad_1] Introduction Natural Language Processing (NLP) is a subfield of artificial intelligence that focuses on the interaction between computers and human language. In recent years, NLP has gained considerable attention due to its wide range…

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Machine Learning for Predictive Maintenance in Energy Systems – Complete Phd and Masters Thesis

Machine Learning for Predictive Maintenance in Energy Systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the energy sector has faced increasing pressure to improve the efficiency and reliability of its infrastructure. This has led to a growing interest in predictive maintenance techniques, which use data…

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