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Computer Science
Showing 1-60 of 2,396 projects
Analysis and Detection of Malicious Activities in Internet of Things (IoT) Networks...
The abstract is a summary of a research work. Here is an abstract for the project topic "Analysis and Detection of Malicious Activities in Internet of Things (I...
Applying Machine Learning to Predictive Maintenance in Industrial IoT Systems...
Abstract: This thesis explores the application of machine learning techniques to enhance predictive maintenance in Industrial Internet of Things (IIoT) systems...
Developing a Machine Learning Model for Predicting Stock Market Trends...
Abstract: This thesis presents a comprehensive study on the development of a machine learning model for predicting stock market trends. The aim of this researc...
Development of an Intelligent Tutoring System for Personalized Learning...
Abstract: This thesis presents the development of an Intelligent Tutoring System (ITS) for personalized learning, aiming to enhance the learning experience by ...
Applying Machine Learning Techniques for Intrusion Detection in IoT Networks...
Abstract: As the Internet of Things (IoT) continues to expand rapidly, ensuring the security and integrity of IoT networks has become increasingly critical. In...
Anomaly Detection in Network Traffic Using Machine Learning...
Abstract: Anomaly detection in network traffic plays a crucial role in ensuring the security and stability of computer networks. With the increasing complexity...
Using Machine Learning to Detect and Prevent Cyber Attacks in IoT Networks...
Abstract: Cyber attacks on Internet of Things (IoT) networks have become a significant concern due to the widespread adoption of IoT devices in various domains...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Anomaly detection in network traffic is a critical area of research in the field of computer science, with the increasing complexity and volume of network data....
Applying Machine Learning for Intrusion Detection in Internet of Things (IoT) Networ...
Abstract: The rapid proliferation of Internet of Things (IoT) devices in various domains has raised concerns about the security of these interconnected network...
Development of a Deep Learning-based System for Real-Time Emotion Recognition in Vid...
Abstract: The recognition of human emotions is a crucial aspect of human-computer interaction, with applications spanning various fields such as marketing, hea...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: The exponential growth in network traffic has led to an increase in security threats and network anomalies. Anomaly detection in network traffic play...
Enhancing Security of Internet of Things (IoT) Devices through Machine Learning Algo...
Abstract: Internet of Things (IoT) devices are becoming increasingly pervasive in our daily lives, offering convenience and connectivity in various domains suc...
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 cybersecur...
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 stock market is a complex and dynamic sys...
Anomaly Detection in Cyber-Physical Systems using Machine Learning Techniques...
Abstract: Cyber-physical systems (CPS) are ubiquitous in modern society, integrating physical processes with computing and communication elements to enhance ef...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: The rapid growth of network traffic in modern computer systems has increased the complexity of detecting anomalies and potential security threats. An...
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 increasing comp...
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...
