In more unconventional domains like chaos-based secure optical communication and photonic reservoir computing, ML enables the ...

The Document and Pattern Recognition Lab started in Summer 2007. We research pattern recognition and machine learning techniques for extracting and searching information in documents and videos. Our ...

The process involves using machine learning techniques, such as neural networks or decision trees, to train algorithms to recognize patterns and categorize them accordingly. Pattern recognition in ...

AI, Machine Learning & Robotics research at Drexel University's ... through fundamental and applied work in computer vision and pattern recognition, data science, knowledge representation and ...

His research interests include computer vision, image processing, pattern recognition, machine learning, and evolutionary computing. His research has been funded by NSF, NASA, ONR, NIJ, NDoT, Ford ...

The need for robust cybersecurity measures has never been more critical. With the rise of sophisticated data signals and ...

This concentration prepares students to deal with situations involving data-driven decision-making such as finding patterns in large amounts of ... basic computer programming, and machine learning ...

Interest in working with large data sets, desire to experiment with machine learning models, and to learn and implement ... Case studies include: text classification, image and speech recognition, and ...