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Computer Science
Showing 1-30 of 2,430 projects
Predicting Stock Market Trends Using Machine Learning Algorithms...
Abstract: The ability to accurately predict stock market trends has long been a goal of financial analysts and investors alike. In recent years, the applicatio...
Applying Machine Learning Techniques for Predicting Stock Market Trends...
Abstract: This research study investigates the application of machine learning techniques in predicting stock market trends. The continuous fluctuations in sto...
Applying Machine Learning for Predictive Maintenance in Smart Manufacturing Systems...
Abstract: This research paper focuses on the application of machine learning techniques for predictive maintenance in smart manufacturing systems. The integrat...
Development of an Intelligent Tutoring System Using Machine Learning Algorithms...
Abstract: This research project focuses on the development of an Intelligent Tutoring System (ITS) utilizing cutting-edge Machine Learning (ML) algorithms. The...
Predictive Maintenance using Machine Learning Algorithms for Industrial Machinery...
Abstract: This research project focuses on the implementation of machine learning algorithms for predictive maintenance in industrial machinery. The importance...
Applying Machine Learning Algorithms for Intrusion Detection in Network Security...
Abstract: The proliferation of internet-connected devices and the increasing reliance on digital systems have led to a corresponding rise in cyber threats and ...
Applying Machine Learning to Predictive Maintenance in IoT Systems...
Abstract: This research project focuses on the application of machine learning techniques to enhance predictive maintenance in Internet of Things (IoT) systems...
Anomaly Detection in Internet of Things (IoT) Networks Using Machine Learning Techni...
Abstract: The proliferation of Internet of Things (IoT) devices in various sectors has led to an exponential increase in data generation. With this surge in da...
Anomaly Detection in Network Traffic Using Machine Learning...
Abstract: Anomaly detection in network traffic plays a crucial role in ensuring the security and reliability of computer networks. With the increasing complexi...
Predicting stock prices using machine learning algorithms....
Abstract: Stock price prediction is a complex and challenging task due to the dynamic and unpredictable nature of financial markets. Traditional methods of sto...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: Anomaly detection in network traffic holds significant importance in ensuring the security and efficiency of computer networks. This research project...
Machine Learning for Predicting Stock Market Trends...
Abstract: The stock market is a complex and dynamic environment influenced by various factors that make predicting trends challenging for investors and financi...
Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data...
Abstract: In recent years, the proliferation of social media platforms has provided a vast amount of user-generated content that reflects opinions, emotions, a...
Development of a Machine Learning Model for Predicting Stock Prices...
Abstract: This research project focuses on the development of a machine learning model for predicting stock prices. The project aims to leverage the power of m...
Applying Machine Learning for Predictive Maintenance in Industrial IoT Systems...
Abstract: This research aims to investigate the application of machine learning techniques for predictive maintenance in industrial Internet of Things (IoT) sy...
Anomaly Detection in Network Traffic using Machine Learning Algorithms...
Abstract: Anomaly detection in network traffic plays a crucial role in ensuring the security and integrity of computer networks. With the increasing complexity...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: The rapid growth of network technologies has revolutionized the way we communicate, collaborate, and conduct business. However, this increased connec...
Developing a Machine Learning Model for Automated Code Review...
Abstract: This research project focuses on the development of a machine learning model for automated code review in the field of software engineering. The obje...
Developing a Machine Learning Algorithm for Predicting Stock Market Trends...
Abstract: This research project focuses on the development of a machine learning algorithm for predicting stock market trends. The stock market is a complex an...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: Anomaly detection in network traffic plays a critical role in ensuring the security and reliability of computer networks. With the increasing complex...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: Anomaly detection in network traffic plays a crucial role in ensuring the security and efficient operation of computer networks. With the increasing ...
Developing a Machine Learning Algorithm for Predicting Stock Market Trends...
Abstract: This research project focuses on the development of a cutting-edge Machine Learning (ML) algorithm aimed at predicting stock market trends. Stock mar...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: In the realm of network security, the ability to detect anomalies in network traffic is paramount for safeguarding critical systems and data. This re...
Development of an Intelligent Tutoring System for Personalized Learning...
Abstract: The rapid advancement of technology has transformed the traditional educational landscape, paving the way for innovative approaches to learning. In t...
Analysis and prediction of software vulnerabilities using machine learning algorithm...
Abstract: The rapid growth and evolution of technology have led to an increase in software vulnerabilities, posing significant risks to data security and priva...
Design and Implementation of a Real-time Facial Recognition System Using Deep Learni...
Abstract: Facial recognition technology has gained significant attention in recent years due to its broad applications in security, surveillance, and personal ...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: Anomaly detection in network traffic using machine learning algorithms has become a critical area of research due to the increasing complexity and so...
Applying Machine Learning for Fraud Detection in Financial Transactions...
Abstract: Financial fraud poses a significant challenge to the stability and security of the financial industry, leading to substantial financial losses and re...
Predictive Maintenance for Industrial Internet of Things (IIoT) Systems using Machin...
Abstract: The integration of Industrial Internet of Things (IIoT) systems with predictive maintenance practices has gained significant attention in recent year...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: Anomaly detection in network traffic using machine learning techniques has gained significant attention in recent years due to the increasing complex...