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Anomaly detection in oil and gas drilling using sensor data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in oil and gas drilling using sensor data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction The oil and gas industry plays a crucial role in the global economy by providing energy for various sectors such as manufacturing, transportation, and residential use. Oil and gas drilling activities are complex…

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and seller data – Complete Phd and Masters Thesis

and seller data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the proliferation of online marketplaces and e-commerce platforms has revolutionized the way individuals and businesses buy and sell products and services. With the vast amount of data generated from these…

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Fake review detection for online marketplaces using natural language processing – Complete Phd and Masters Thesis

Fake review detection for online marketplaces using natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction With the rise of online marketplaces, the importance of customer reviews has increased significantly. Reviews play a crucial role in helping consumers make informed purchasing decisions. However, with the increase in fake reviews,…

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Traffic congestion prediction for logistics optimization using deep learning and fleet GPS data – Complete Phd and Masters Thesis

Traffic congestion prediction for logistics optimization using deep learning and fleet GPS data – Complete Phd and Masters Thesis

[ad_1] Introduction: Traffic congestion poses a significant challenge to logistics companies, leading to delays, increased costs, and decreased customer satisfaction. Traditional methods of predicting and managing congestion have shown limitations in providing accurate and real-time…

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Sentiment analysis of customer feedback for product design iterations using text mining and natural language processing – Complete Phd and Masters Thesis

Sentiment analysis of customer feedback for product design iterations using text mining and natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s highly competitive market, it has become imperative for companies to listen and respond to customer feedback in order to improve their products and services. Customer feedback is a valuable source of…

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Predictive maintenance for HVAC systems using sensor data and machine learning – Complete Phd and Masters Thesis

Predictive maintenance for HVAC systems using sensor data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Predictive maintenance for HVAC systems using sensor data and machine learning is a crucial area of research that aims to improve the efficiency and reliability of heating, ventilation, and air conditioning systems in…

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Customer segmentation for targeted advertising using clustering algorithms and browsing history – Complete Phd and Masters Thesis

Customer segmentation for targeted advertising using clustering algorithms and browsing history – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, companies are constantly searching for ways to effectively target and reach their customers to increase sales and brand loyalty. One popular method to achieve this is through customer segmentation,…

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Sentiment analysis of social media posts for product launch analysis using text mining and deep learning – Complete Phd and Masters Thesis

Sentiment analysis of social media posts for product launch analysis using text mining and deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, social media platforms have become a prominent source of information for businesses, marketers, and consumers. With the rise of social media, companies are now able to interact with their customers…

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Customer churn prediction in the telecommunications industry using call detail records and machine learning – Complete Phd and Masters Thesis

Customer churn prediction in the telecommunications industry using call detail records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In the telecommunications industry, customer churn prediction plays a crucial role in retaining customers and maximizing revenue. The ability to accurately predict when a customer is likely to churn can help telecom companies…

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Anomaly detection in industrial control systems using SCADA data and unsupervised learning – Complete Phd and Masters Thesis

Anomaly detection in industrial control systems using SCADA data and unsupervised learning – Complete Phd and Masters Thesis

[ad_1] Introduction: Anomaly detection plays a critical role in ensuring the security and reliability of industrial control systems (ICS), particularly in the context of Supervisory Control and Data Acquisition (SCADA) systems. SCADA systems are widely…

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