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Showing 1-90 of 2,431 projects
Abstract: The rapid growth of network traffic in modern computer networks has led to an increase in security threats and attacks. Anomaly detection is a crucia...
Abstract: This research project focuses on the development of a machine learning algorithm for predicting stock prices. Stock price prediction plays a crucial ...
Abstract: With the increasing complexity and volume of network traffic data, the need for effective anomaly detection techniques has become crucial in ensuring ...
Abstract: The rapid advancement of technology has transformed the landscape of education, paving the way for innovative approaches to teaching and learning. In...
Abstract: With the increasing reliance on digital technology in our daily lives, cybersecurity has become a critical concern to protect sensitive information a...
Abstract: The stock market is a dynamic and complex system influenced by a multitude of factors, making accurate prediction of stock market trends a challengin...
Abstract: The emergence of artificial intelligence (AI) has revolutionized various industries, including software development. One critical aspect of software ...
Abstract: Automated Code Review System using Machine Learning is a cutting-edge research project aimed at revolutionizing the software development process by l...
Abstract: This research project focuses on the development of a machine learning-based system for predicting stock market trends. The stock market is a complex...
Abstract: This research project focuses on the application of machine learning algorithms for predicting stock market trends. The stock market is a complex and...
Abstract: Automated code review systems have become essential tools in the software development process, enabling developers to identify and correct errors in ...
Abstract: The field of education has witnessed significant advancements with the integration of technology into traditional teaching methods. In particular, th...
Abstract: This research project focuses on the development of a machine learning algorithm for predicting stock market trends. With the rapid advancements in t...
Abstract: With the continuous growth and complexity of computer networks, the detection of anomalies in network traffic has become a critical task for ensuring...
Abstract: The rise of e-commerce and online transactions has brought about numerous benefits but has also created opportunities for fraudulent activities. In r...
Abstract: The rapid growth of network technologies has led to an increase in the complexity and volume of network traffic data. With this growth comes the chal...
Abstract: This research project focuses on the development of a machine learning model for predicting stock market trends. The project aims to leverage the pow...
Abstract: In recent years, the emergence of online learning environments has revolutionized the traditional educational landscape, providing students with unpr...
Abstract: The rapid growth of network data and the increasing sophistication of cyber threats have highlighted the critical need for effective anomaly detectio...
Abstract: Recommendation systems have become an essential component of many online platforms, helping users discover relevant items based on their preferences ...
Abstract: The rapid growth of cloud computing has revolutionized the way data is stored, processed, and accessed. With this growth, the need for secure and eff...
Abstract: The application of machine learning techniques for predicting stock market trends has gained significant attention in recent years due to its potenti...
Abstract: The increasing reliance on networking technologies has led to a rise in the number of cyber threats targeting network security. Network intrusion det...
Abstract This research explores the utilization of Machine Learning (ML) and Internet of Things (IoT) technologies for implementing predictive maintenance stra...
Abstract: Financial fraud poses a significant threat to businesses and consumers worldwide, leading to substantial financial losses and damage to reputations. ...
Abstract: This research project aims to investigate the application of machine learning algorithms for predicting stock market trends. The stock market is know...
Abstract: The increasing complexity and volume of network traffic data pose significant challenges for maintaining network security and performance. Anomaly de...
Abstract: The prevalence of SQL injection attacks in web applications has become a major concern in the realm of cybersecurity. This research project aims to a...
Abstract: The rapid growth of online transactions has led to an increase in fraudulent activities, posing significant challenges to both businesses and consume...
Abstract: The demand for real-time object detection systems has gained significant attention due to their wide applications in various fields such as autonomou...