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

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

[ad_1] Introduction: Cybersecurity is a critical aspect of modern society, as more and more of our daily activities rely on digital technology. With the increasing sophistication of cyber threats, there is a growing need for…

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Predicting patient outcomes using electronic health records and machine learning – Complete Phd and Masters Thesis

Predicting patient outcomes using electronic health records and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction: The use of electronic health records (EHR) has become increasingly prevalent in healthcare settings, providing a valuable source of data for researchers and healthcare professionals. With the advancements in machine learning algorithms, there…

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Image segmentation for autonomous drones using deep learning and computer vision – Complete Phd and Masters Thesis

Image segmentation for autonomous drones using deep learning and computer vision – Complete Phd and Masters Thesis

[ad_1] Introduction The use of autonomous drones in various applications such as agriculture, surveillance, and search and rescue has been growing rapidly in recent years. One of the key challenges in enabling autonomous drones to…

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Social network analysis for customer referral programs and viral marketing campaigns – Complete Phd and Masters Thesis

Social network analysis for customer referral programs and viral marketing campaigns – Complete Phd and Masters Thesis

[ad_1] Introduction Social network analysis (SNA) has become a popular and powerful tool in understanding the dynamics of social relationships, communication patterns, and influence within a network. This methodological approach has been widely used in…

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Predictive modeling for supply chain disruptions using supplier data and machine learning – Complete Phd and Masters Thesis

Predictive modeling for supply chain disruptions using supplier data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, supply chain disruptions have become a major concern for businesses around the world. These disruptions can lead to significant financial losses, delays in production, and damage to a company’s reputation.…

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and crowdsourcing – Complete Phd and Masters Thesis

and crowdsourcing – Complete Phd and Masters Thesis

[ad_1] Introduction Crowdsourcing has become a popular and effective method for businesses and organizations to harness the collective intelligence and resources of a large group of people, typically through an online platform. This research aims…

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Traffic congestion prediction for ride-sharing services using deep learning and GPS data – Complete Phd and Masters Thesis

Traffic congestion prediction for ride-sharing services using deep learning and GPS data – Complete Phd and Masters Thesis

[ad_1] Introduction: Traffic congestion is a significant issue in urban areas worldwide, leading to increased travel times, air pollution, and overall reduced quality of life for residents. Ride-sharing services have become increasingly popular in recent…

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Chatbot development for HR support using natural language processing and HR knowledge bases – Complete Phd and Masters Thesis

Chatbot development for HR support using natural language processing and HR knowledge bases – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the use of chatbots in various industries to improve customer service, automate tasks, and provide information to users. Chatbots are computer programs designed…

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Predictive maintenance for oil and gas pipelines using sensor data and machine learning – Complete Phd and Masters Thesis

Predictive maintenance for oil and gas pipelines using sensor data and machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Oil and gas pipelines play a crucial role in the transportation of energy resources across vast distances. However, these pipelines are susceptible to various forms of degradation and failure over time, leading to…

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Customer segmentation for energy consumption patterns using clustering algorithms and smart meter data – Complete Phd and Masters Thesis

Customer segmentation for energy consumption patterns using clustering algorithms and smart meter data – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: Customer segmentation for energy consumption patterns using clustering algorithms and smart meter data is a critical area of research that aims to understand and analyze customer behavior in relation to energy consumption.…

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