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Computer Science
Showing 1-0 of 2,396 projects
Anomaly Detection in IoT Networks Using Machine Learning Algorithms...
Abstract: The rapid growth of Internet of Things (IoT) devices and networks has led to an increased need for robust security mechanisms to protect against pote...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
Abstract: This thesis explores the application of machine learning algorithms for predicting stock market trends. In recent years, the financial industry has s...
Applying Machine Learning Algorithms 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 offer valuable insights into publi...
Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems...
Abstract: This thesis explores the application of machine learning techniques for predictive maintenance in industrial Internet of Things (IoT) systems. The im...
Implementation of a Machine Learning Algorithm for Predicting Stock Prices...
Abstract: Stock price prediction has long been a challenging task due to the complex and unpredictable nature of financial markets. In recent years, machine le...
Development of an Intelligent Traffic Management System using Machine Learning Algor...
Abstract: Traffic congestion is a significant issue faced by urban areas worldwide, leading to wasted time, increased fuel consumption, environmental pollution...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: Anomaly detection in network traffic using machine learning algorithms is a critical area of research in the field of computer science and cyber secu...
Applying Machine Learning for Intrusion Detection in IoT Networks...
Abstract: The rapid growth of the Internet of Things (IoT) has led to an increase in the number of connected devices, making network security a critical concer...
Developing a Machine Learning-based System for Predicting Stock Market Trends...
Abstract: The stock market is a complex and dynamic system that reflects the economic conditions and investor sentiments. Predicting stock market trends accura...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
Abstract: This thesis explores the application of machine learning algorithms in predicting stock market trends. The increasing complexity and volatility of fi...
Developing a Machine Learning Algorithm for Predicting Stock Market Trends...
Abstract: This thesis presents a comprehensive study on the development of a machine learning algorithm for predicting stock market trends. The rapid evolution...
Applying Machine Learning for Predicting Stock Market Trends...
Abstract: The volatile nature of the stock market poses challenges for investors seeking to make informed decisions and maximize returns on their investments. ...
Applying Machine Learning Algorithms for Intrusion Detection in Cloud Computing Envi...
Abstract: Cloud computing has revolutionized the way organizations handle data and computing resources, offering scalability and flexibility. However, the secu...
Machine Learning for Predicting Cybersecurity Threats...
Abstract: Cybersecurity threats continue to pose significant challenges to individuals, organizations, and governments worldwide. The growing complexity and so...
Developing a Machine Learning Model for Predicting Student Performance in Online Lea...
Abstract: The rapid growth of online learning platforms has revolutionized education by providing flexibility and accessibility to a diverse range of learners....
Automated Code Review System Using Machine Learning...
Abstract: Automated code review systems have emerged as essential tools in software development, enabling developers to identify and correct code quality issue...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
**Abstract:** This thesis explores the application of machine learning algorithms for predicting stock market trends. The rapid advancements in technology have...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
Abstract: The financial market is a complex and dynamic environment, with stock prices influenced by a myriad of factors such as economic indicators, market se...
Developing a Machine Learning System for Sentiment Analysis in Social Media Data...
Abstract: In recent years, the explosive growth of social media platforms has generated an enormous volume of user-generated content, making sentiment analysis...
Applying Machine Learning Techniques for Intrusion Detection in Cybersecurity...
Abstract: The rise of cyber threats and attacks has underscored the critical importance of robust intrusion detection systems in safeguarding sensitive data an...
Anomaly detection in network traffic using machine learning algorithms...
Abstract: With the rapid increase in network traffic and the growing complexity of network systems, the need for effective anomaly detection techniques has bec...
Topic: Applying Machine Learning Algorithms for Predicting Stock Prices...
Abstract: This thesis explores the application of machine learning algorithms for predicting stock prices in financial markets. The use of machine learning tec...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: The increasing complexity and volume of network traffic data have led to a growing demand for effective anomaly detection techniques to enhance netwo...
Machine Learning Techniques for Anomaly Detection in Network Security...
Abstract: Network security is a critical aspect of modern information technology systems, with the increasing number of cyber threats and attacks targeting net...
Automatic Emotion Recognition from Facial Expressions Using Deep Learning...
Abstract: Automatic Emotion Recognition from Facial Expressions Using Deep Learning is a cutting-edge research project that aims to revolutionize the field of ...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
Abstract: Stock market prediction has always been a challenging and intriguing problem in the financial sector. With the advancement of technology, machine lea...
Applying Machine Learning to Detect and Prevent Cyber Attacks in Cloud Computing Env...
Abstract: Cloud computing has become an integral part of modern computing systems, offering scalability, flexibility, and cost-effectiveness. However, the incr...
Applying Machine Learning Techniques for Detecting Cybersecurity Threats in Internet...
Abstract: The rapid proliferation of Internet of Things (IoT) devices in various domains has led to an increased risk of cybersecurity threats. As these device...
Applying Machine Learning Algorithms for Network Intrusion Detection...
Abstract: Network intrusion detection plays a crucial role in safeguarding the integrity and security of computer networks against unauthorized access and mali...
Applying Machine Learning Techniques for Intrusion Detection in Internet of Things (...
Abstract: The rapid growth of the Internet of Things (IoT) has led to an increased need for effective security measures to protect IoT networks from cyber thre...
