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Natural Language Processing for Automated Code Generation – Complete Phd and Masters Thesis

Natural Language Processing for Automated Code Generation – Complete Phd and Masters Thesis

[ad_1] Introduction Natural Language Processing (NLP) is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. Over the years, NLP has gained significant attention and has been…

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Knowledge Graphs and Semantic Web for Drug Discovery – Complete Phd and Masters Thesis

Knowledge Graphs and Semantic Web for Drug Discovery – Complete Phd and Masters Thesis

[ad_1] Introduction: Knowledge graphs and the semantic web have revolutionized the way information is organized and analyzed in various domains, including drug discovery. The integration of these technologies allows researchers to efficiently extract valuable insights…

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Hybrid Cloud Disaster Recovery and Business Continuity Planning – Complete Phd and Masters Thesis

Hybrid Cloud Disaster Recovery and Business Continuity Planning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, businesses are increasingly reliant on technology to store and manage their data. With the growing threat of cyber attacks, natural disasters, and other disruptions, it is crucial for organizations…

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Graph Neural Networks for Molecular Property Prediction – Complete Phd and Masters Thesis

Graph Neural Networks for Molecular Property Prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Molecular property prediction is a crucial task in drug discovery, material science, and other domains of chemistry. Traditional machine learning models often struggle to capture the complex relationships between atoms and their properties…

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Federated Learning for Collaborative AI Model Fine-tuning – Complete Phd and Masters Thesis

Federated Learning for Collaborative AI Model Fine-tuning – Complete Phd and Masters Thesis

[ad_1] Introduction Federated learning is a novel machine learning paradigm that enables collaborative model training across multiple decentralized edge devices without the need to transfer raw data to a central server. This approach is particularly…

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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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Blockchain-based Decentralized Applications for Supply Chain Traceability – Complete Phd and Masters Thesis

Blockchain-based Decentralized Applications for Supply Chain Traceability – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in utilizing blockchain technology for enhancing supply chain traceability. Blockchain offers a decentralized and transparent ledger that can securely record transactions, making it an…

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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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