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Computer Science
Showing 1-30 of 2,430 projects
Analyzing and Improving Machine Learning Model Performance Using Explainable AI Tech...
Abstract: In recent years, machine learning algorithms have gained significant popularity in various domains due to their ability to learn from data and make p...
Applying Machine Learning Algorithms for Predicting Stock Market Trends...
Abstract: This research project focuses on the application of machine learning algorithms for predicting stock market trends. The use of machine learning techn...
Application of Machine Learning for Predictive Maintenance in Industrial IoT Systems...
Abstract: This research project explores the application of machine learning techniques for predictive maintenance in Industrial IoT systems. With the increasi...
Anomaly Detection in Internet of Things (IoT) Networks using Machine Learning Algori...
Abstract: The rapid proliferation of Internet of Things (IoT) devices has led to the generation of vast amounts of data in interconnected networks. With this g...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: The rapid growth of network traffic and the increasing complexity of network architectures have made it challenging to detect anomalies and potential...
Predictive maintenance using machine learning algorithms...
Abstract: Predictive maintenance using machine learning algorithms has emerged as a powerful technique to optimize maintenance schedules, reduce downtime, and ...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: Anomaly detection in network traffic plays a crucial role in enhancing cybersecurity by identifying unusual patterns that may indicate malicious acti...
Applying Machine Learning Techniques for Fraud Detection in Online Banking Systems...
Abstract: The rise of online banking systems has revolutionized the way financial transactions are conducted, offering convenience and accessibility to users w...
Machine Learning for Predicting Stock Market Trends...
Abstract: The stock market is known for its unpredictability and volatility, making it a challenging environment for investors to navigate. In recent years, ma...
Applying Machine Learning Algorithms for Predicting Stock Market Prices...
Abstract: The stock market is a complex and dynamic system that has attracted significant attention from researchers and investors alike due to its potential f...
Analysis of machine learning algorithms for predicting stock market trends....
Abstract: The stock market is a complex and dynamic system influenced by numerous factors, making it challenging to predict trends accurately. In recent years,...
Developing a Smart Traffic Management System using Machine Learning and IoT Technolo...
Abstract: Traffic congestion is a growing concern in urban areas, leading to increased travel times, fuel consumption, and environmental pollution. To address ...
Applying Machine Learning Algorithms for Fraud Detection in Online Transactions...
Abstract: The rise of online transactions has brought about numerous benefits and conveniences for individuals and businesses alike. However, this digital tran...
Applying Machine Learning for Sentiment Analysis in Social Media Data...
Abstract: This research investigates the application of machine learning techniques for sentiment analysis in social media data. The rise of social media platf...
Applying Machine Learning algorithms for detecting and preventing phishing attacks...
Abstract: Phishing attacks have become a significant threat to individuals, organizations, and society at large, leading to financial losses, data breaches, an...
Developing an Intelligent Tutoring System for Personalized Learning in Computer Scie...
Abstract: This research project aims to address the increasing demand for personalized learning in computer science education by developing an Intelligent Tuto...
Applying Machine Learning Algorithms for Sentiment Analysis in Social Media Data...
Abstract: In the era of digital communication, social media platforms have become integral channels for individuals to express opinions, sentiments, and emotio...
Using Machine Learning for Predicting Stock Prices...
Abstract: The unpredictable nature of stock prices in financial markets poses a significant challenge for investors and financial analysts seeking to make info...
Anomaly Detection in Network Traffic Using Machine Learning Algorithms...
Abstract: The increasing complexity and volume of network traffic data pose significant challenges for effectively detecting anomalies that could indicate pote...
Development of a Machine Learning Algorithm for Image Recognition in Autonomous Vehi...
Abstract: The advancement of autonomous vehicles has been a focal point of research and development in recent years, with machine learning playing a crucial ro...
Using Machine Learning for Predictive Maintenance in Industrial IoT Systems...
Abstract: This research project explores the application of machine learning techniques for predictive maintenance in Industrial Internet of Things (IoT) syste...
Implementing a Machine Learning Algorithm for Sentiment Analysis in Social Media Dat...
Abstract: This research project focuses on the implementation of a machine learning algorithm for sentiment analysis in social media data. Sentiment analysis, ...
Applying Machine Learning Algorithms for Intrusion Detection in Network Security...
Abstract: The rapid advancement of technology has led to an increased reliance on networked systems for communication, data storage, and information sharing. H...
Developing a Machine Learning Algorithm for Predicting Stock Market Trends...
Abstract: The volatile nature of the stock market has intrigued researchers and investors alike for decades. The ability to predict stock market trends accurat...
Development of a Machine Learning-based System for Predicting Stock Market Trends...
Abstract: The ever-changing and highly volatile nature of the stock market presents a unique challenge for investors and financial analysts seeking to make inf...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: The increasing complexity and volume of network traffic pose significant challenges in maintaining the security and performance of computer networks....
Implementing a Machine Learning Algorithm for Fraud Detection in Online Transactions...
Abstract: Fraudulent activities in online transactions pose a significant threat to financial institutions and individual users. Detecting such fraud in a time...
Development of a Machine Learning-based System for Sentiment Analysis in Social Medi...
Abstract: In recent years, the explosive growth of social media platforms has provided an unprecedented amount of data for analysis. Understanding the sentimen...
Anomaly Detection in Network Traffic Using Machine Learning Techniques...
Abstract: The rapid expansion of networked systems and the increasing sophistication of cyber threats have highlighted the critical need for effective anomaly ...
Applying Machine Learning Algorithms for Fraud Detection in Online Banking Systems...
Abstract: In the realm of online banking systems, the prevalence of fraudulent activities poses significant challenges to financial institutions and their cust...