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Anomaly detection in network security using packet data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in network security using packet data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction Anomaly detection plays a critical role in ensuring the security of computer networks by identifying unusual patterns that may indicate malicious activities or system malfunctions. With the increasing complexity and sophistication of cyber…

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Predicting patient medication response using pharmacogenomic data and machine learning – Complete Phd and Masters Thesis

Predicting patient medication response using pharmacogenomic data and machine learning – Complete Phd and Masters Thesis

[ad_1] **Introduction** In recent years, personalized medicine has gained significant attention in the healthcare industry as it allows for the tailoring of medical treatments to individual characteristics of each patient. Pharmacogenomics, the study of how…

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Sentiment analysis of customer reviews for competitive intelligence using text mining and machine learning – Complete Phd and Masters Thesis

Sentiment analysis of customer reviews for competitive intelligence using text mining and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, customers have more power than ever before. With platforms such as social media and online review sites, customers can easily share their opinions and experiences with a global audience.…

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Image segmentation for autonomous inspection using deep learning and industrial IoT data – Complete Phd and Masters Thesis

Image segmentation for autonomous inspection using deep learning and industrial IoT data – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Image Segmentation for Autonomous Inspection using Deep Learning and Industrial IoT Data Introduction: Image segmentation plays a crucial role in various fields such as medical imaging, autonomous vehicles, and industrial inspection. With…

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Demand forecasting for supply chain planning using time series analysis and supplier data – Complete Phd and Masters Thesis

Demand forecasting for supply chain planning using time series analysis and supplier data – Complete Phd and Masters Thesis

[ad_1] Introduction Demand forecasting plays a crucial role in supply chain planning as it helps organizations to make informed decisions regarding production, inventory management, and distribution. With the increasing complexity of global supply chains and…

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Predicting customer lifetime value for telecommunications businesses using call detail records and machine learning – Complete Phd and Masters Thesis

Predicting customer lifetime value for telecommunications businesses using call detail records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s highly competitive telecommunications industry, customer lifetime value (CLV) has become a critical metric for businesses to understand and quantify the long-term value of their customers. By predicting CLV, telecommunications companies can…

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Sentiment analysis of employee feedback for workplace safety using text mining and natural language processing – Complete Phd and Masters Thesis

Sentiment analysis of employee feedback for workplace safety using text mining and natural language processing – Complete Phd and Masters Thesis

[ad_1] **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 1.9…

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Predictive modeling for customer acquisition in the insurance industry using risk data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for customer acquisition in the insurance industry using risk data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the insurance industry has been facing increasing competition and challenges in acquiring new customers. With the advancement of technology and the availability of vast amounts of data, predictive modeling techniques…

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Image classification for autonomous waste sorting using deep learning and computer vision – Complete Phd and Masters Thesis

Image classification for autonomous waste sorting using deep learning and computer vision – Complete Phd and Masters Thesis

[ad_1] Introduction Waste management is a critical issue facing cities around the world, with the volume of waste generated increasing at an alarming rate. Traditional waste sorting methods are labor-intensive, time-consuming, and prone to human…

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Anomaly detection in financial transactions using graph analysis and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in financial transactions using graph analysis and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Anomaly detection in financial transactions plays a crucial role in identifying and preventing fraudulent activities that pose significant risks to financial institutions and their customers. Traditional methods of anomaly detection often fall short…

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