Property:Prerequisites

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Showing 20 pages using this property.
B
Blood splatter analysis +
Have done or doing the Image Analysis, Computer Vision in 3D and Deep Learning courses.  +
Body posture alignment feedback using xAI +
Deep learning courses and interest in explainable AI (xAI)  +
Bowling: human motion quantification + ball quantification +
Good knowledge in Image Analysis, and Computer Vision in 3D  +
Browser Extensions Updates +
Python; JavaScript  +
Building a Knowledge-based AI Framework for Mobility +
Knowledge of AI, knowledge-based systems, and machine learning  +
C
Chess playing humanoid robot by vision +
Image Analysis  +
Classifying heart diseases based on heart random numbers +
Python, Matlab, ML  +
Collaborative Filtering Recommendation System Location Content-based +
Python; JavaScript  +
Comparative Study on Data Abstraction Methodologies for Interoperable V2X Roadside Units (RSU) +
Strong skills in embedded C/C++, data structures, computer networks, and a foundational understanding of V2X standards.  +
Comprehending low-dimensional manifolds of temporal data from the home +
Completed courses in basic machine learning is required.  +
Concept Re-identification to Explain Online Continual Learning +
Good knowledge of data stream learning  +
Connected Safety Vest for Roadworkers +
Programming; embedded systems; Linux (Debian)  +
Consensus clustering for categorizing orthogonal vehicle operations +
Data mining course.  +
Contactless monitoring of blood pressure using photoplethysmography +
Computer vision or digital image processing, digital signal processing, Machine learning, Artificial Intelligence  +
Conversational AI for Reliable Insights from Industrial Telemetry (with Alfa Laval) +
Good knowledge of machine learning  +
Convolutional Neural Network (CNN) features behaviour in the context of textures +
Image Analysis: Grade 4 or 5  +
Convolutional Neural Network (CNN) responses when the number of classes increase +
image analysis  +
Coordinated Multi-Drone Pattern Formation with Crazyflie & Lighthouse +
Basic Python, ROS 2, linear algebra & coordinate frames; Git/Linux  +
Cross-Spectrum Ocular Identity Recognition via Deep Learning +
Good knowledge of applied mathematics, signal and image processing, and machine learning. Programming skills (preferably Matlab).  +
D
Data Mining In a Warehouse Inventory +
Programming skills, Machine Learning, Computer Vision, Data Mining.  +
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