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Computer Science
Showing 1-90 of 2,396 projects
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,...
Applying Machine Learning for Predictive Maintenance in Industrial Systems...
**Abstract** The application of machine learning for predictive maintenance in industrial systems has gained significant attention in recent years due to its p...
Applying Machine Learning Algorithms for Intrusion Detection in Network Security...
Abstract: The rapid evolution of technology has brought about significant advancements in various fields, including network security. With the increasing compl...
Developing a machine learning-based system for automated image classification and ob...
Abstract: The rapid growth of digital image data in various domains has led to the need for efficient and accurate methods for image classification and object ...
Development of a Machine Learning-based System for Predicting Stock Market Trends...
Abstract: The stock market, being a complex and dynamic environment, has always attracted the interest of investors and researchers alike due to its potential ...
Development of an Intelligent Tutoring System for Personalized Learning...
Abstract: The rapid advancements in technology have revolutionized the field of education, offering new opportunities for personalized learning experiences. In...
Applying Machine Learning Algorithms for Fraud Detection in Online Transactions...
Abstract: The rise of online transactions has brought about numerous benefits in terms of convenience and accessibility. However, with this increase in online ...
Development of a Machine Learning Algorithm for Sentiment Analysis in Social Media D...
Abstract: This thesis presents the development of a novel machine learning algorithm for sentiment analysis in social media data. Sentiment analysis, also know...
Anomaly Detection in Internet of Things (IoT) Networks using Machine Learning Techni...
Abstract: The rapid growth of Internet of Things (IoT) devices has led to an increased need for effective anomaly detection methods to ensure the security and ...
Development of a real-time facial recognition system using deep learning algorithms...
The abstract of this thesis focuses on the development of a real-time facial recognition system utilizing deep learning algorithms. The project aims to leverage...
Applying Machine Learning Algorithms for Intrusion Detection in IoT Networks...
Abstract: The widespread integration of Internet of Things (IoT) devices in various applications has brought about numerous benefits, but it has also introduce...
Applying Machine Learning Algorithms for Predictive Maintenance in Industrial IoT Sy...
Abstract: This thesis explores the application of machine learning algorithms for predictive maintenance in industrial Internet of Things (IoT) systems. The in...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
The abstract for the thesis on "Anomaly Detection in Network Traffic Using Machine Learning Techniques" is as follows: This thesis explores the application of ...
Enhancing Cybersecurity Measures using Machine Learning Algorithms...
Abstract: Cybersecurity has become a critical concern in the digital age, as organizations and individuals face increasing threats from cyber attacks. To addre...
