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Computer Science
Showing 1-90 of 1,791 Thesis
Development of a Machine Learning-based System for Fraud Detection in E-commerce Pla...
Abstract: The rapid growth of e-commerce platforms has brought about the need for effective fraud detection systems to combat fraudulent activities. This thesi...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: Anomaly detection in network traffic is a critical aspect of ensuring the security and integrity of computer networks. With the increasing complexity...
Applying Machine Learning Algorithms for Predicting Stock Prices...
Abstract: This thesis explores the application of machine learning algorithms for predicting stock prices. The financial markets are characterized by volatilit...
Development of a Machine Learning Model for Predicting Stock Market Trends...
Abstract: The intricate and dynamic nature of the stock market makes it a challenging domain for investors and analysts to navigate successfully. In recent yea...
Development of a Machine Learning Algorithm for Sentiment Analysis in Social Media D...
Abstract: The rise of social media platforms has led to an explosion of user-generated content, providing a vast amount of data that can be analyzed to gain va...
Developing a Machine Learning-based System for Early Detection of Cybersecurity Thre...
Abstract: With the increasing complexity and frequency of cyber threats, there is a growing need for proactive measures to detect and mitigate cybersecurity ri...
Developing an intelligent tutoring system using machine learning algorithms for pers...
Abstract: This thesis presents the development of an intelligent tutoring system (ITS) utilizing machine learning algorithms to enhance personalized learning e...
Machine Learning for Predicting Stock Market Trends...
Abstract: The stock market is a complex and dynamic system that is influenced by various factors, making it challenging to predict its trends accurately. In re...
Anomaly Detection in IoT Networks Using Machine Learning Algorithms...
Abstract: The rapid growth of Internet of Things (IoT) devices has revolutionized various industries, providing numerous benefits such as improved efficiency, ...
Developing a Machine Learning Algorithm for Predicting Stock Prices...
**Abstract** This thesis presents an in-depth exploration into the development of a machine learning algorithm for predicting stock prices. With the rapid adva...
Automated Bug Detection in Software Development using Machine Learning Techniques...
**Abstract:** Automated bug detection in software development using machine learning techniques is a crucial area of research that aims to enhance the quality ...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: The increasing complexity and volume of network traffic have made it challenging for organizations to effectively monitor and detect anomalies in the...
Developing a Machine Learning Algorithm for Sentiment Analysis in Social Media Data...
Abstract: Social media platforms have become integral parts of modern communication, providing vast amounts of data that can be analyzed to uncover valuable in...
Using Machine Learning to Predict Stock Market Trends...
Abstract: This thesis explores the application of machine learning algorithms to predict stock market trends and improve decision-making in financial markets. ...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: The continuous growth of network traffic volume and complexity has made anomaly detection in network traffic a crucial task in ensuring the security ...
Topic: Machine Learning for Predictive Maintenance in Industrial Systems...
Abstract: This thesis explores the application of machine learning techniques for predictive maintenance in industrial systems. Predictive maintenance aims to ...
Applying Machine Learning for Fraud Detection in Online Transactions...
Abstract: The rapid growth of online transactions has brought about significant benefits to individuals, businesses, and economies worldwide. However, this adv...
Developing a Machine Learning-based System for Predicting Student Performance in Onl...
Abstract: This thesis presents a comprehensive study on the development of a Machine Learning-based System for Predicting Student Performance in Online Learnin...
Development of a Machine Learning Algorithm for Sentiment Analysis in Social Media D...
Abstract: The rapid growth of social media platforms has led to an explosion of user-generated content, making sentiment analysis a crucial task for understand...
Developing a Deep Learning Model for Sentiment Analysis in Social Media Posts...
Abstract: This thesis presents the development and implementation of a deep learning model for sentiment analysis in social media posts. Sentiment analysis, al...
Implementation of a Real-Time Face Recognition System Using Deep Learning Techniques...
Abstract: Face recognition technology has gained significant attention in recent years due to its wide range of applications in various fields, including secur...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: The rapid growth of network communication technologies has led to an increase in the complexity and volume of network traffic data. As a result, the ...
Development of a Machine Learning Algorithm for Real-Time Anomaly Detection in Netwo...
**Abstract:** The increasing reliance on networked systems in various domains has highlighted the critical need for effective anomaly detection mechanisms to s...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
Abstract: The stock market represents a complex and dynamic system where various factors influence the trends and movements of stock prices. Predicting these t...
Anomaly Detection in Cybersecurity Using Machine Learning Algorithms...
Abstract: Cybersecurity has become a critical concern in the modern digital age, with the increasing sophistication of cyber threats posing significant risks t...
Developing a Machine Learning Model for Predicting Stock Market Trends...
Abstract: The financial market is a dynamic environment characterized by constant fluctuations, making it challenging for investors to make informed decisions....
Applying Machine Learning Algorithms for Fraud Detection in Financial Transactions...
Abstract: The rise of digital transactions in the financial sector has brought about a significant increase in fraudulent activities. To combat this issue, the...
Anomaly Detection in IoT Networks using Machine Learning Techniques...
Abstract: In recent years, the rapid growth of Internet of Things (IoT) networks has revolutionized various industries by enabling seamless connectivity and co...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
Abstract: Stock market prediction has always been a challenging and crucial task in the financial sector. As the financial markets are highly volatile and infl...
Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...
Abstract: The utilization of Machine Learning (ML) techniques in Industrial Internet of Things (IIoT) systems has gained significant attention in recent years,...
