Property:Prerequisites

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Showing 20 pages using this property.
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On detecting deviations by autonomously discovering district heating control strategy used by buildings +
basic statistics and programming skills; interest in machine learning and data mining; willingness to learn new topics.  +
P
Pallet Detection and Mapping +
Image analysis, programming skills (preferably C++ or Python), familiarity with pattern recognition, Familiarity with filtering techniques (eg. EKF) for mobile robots mapping.  +
Peer Group Discovery in District Heating Substations and Heat Pumps for Self-Monitoring +
Artificial Intelligence and Learning Systems courses; good knowledge of data mining; programming skills for implementing machine learning algorithms  +
Piglets Detection and Counting using Deep Neural Networks +
Artificial Intelligence and Learning Systems courses; good knowledge of machine learning and neural networks; python programming skills for implementing machine learning algorithms.  +
Pose & distance of toy-vehicles in front by spirals +
Image Analysis  +
Positioning of the user at the HINT +
familiarity with digital and wireless communication, experience with circuit design and prototyping  +
Posture Estimation for Motorcycle Riders Using Multi-IMU Systems and Video-Based Ground Truth +
Embedded systems programming (ESP32, microROS) Sensor fusion techniques (e.g., Extended Kalman Filter) Basic machine learning (optional, for posture classification) Familiarity with Python or MATLAB for data analysis  +
Posture Estimation for Motorcycle Simulator Riders Using Remote Sensing and IMU-Based Systems +
Familiarity with ROS and CARLA simulator Knowledge of computer vision (e.g., pose estimation frameworks) Experience with IMU data processing and sensor fusion Python programming for data analysis and integration  +
Protecting bikers in traffic by computer vision +
Image Analysis  +
R
RAQUEL Robot Assisted QUiz Espying of Learners +
Image Analysis  +
RaspberryPiVolvoLogger +
Basic Linux knowledge, programming competence, possibly electronics experience, Cooperating Intelligent Systems or equivalent basic Artificial Intelligence course  +
Real-time Motion Analysis using Inertial Sensors +
Background in signal analysis and programming are required. Interest in inertial sensors is a bonus.  +
Real-time bladder scanner +
Electronics advanced level, measurement techniques.  +
Recognition of Human Intentions for Automated Cars +
Artificial Intelligence, Image Analysis  +
Recognition of logotypes and signs in photos +
Good Knowledge in Image Analysis and Math  +
Recurrent and Deep Learning for Machine Prognostics +
Artificial Intelligence and Learning Systems courses; good knowledge in machine learning and neural networks; programming skills for implementing machine learning algorithms  +
Replacements vs repairs. What is really a breakdown from the point of view of the data? +
Good knowledge of applied data science: supervised and unsupervised learning.  +
Representation Learning for Deviation Detection +
Artificial Intelligence and Learning Systems courses; good knowledge of machine learning and neural networks; programming skills for implementing machine learning algorithms  +
Representation of Complex Data Types for Machine Learning +
Cooperating Intelligent Systems and Learning Systems courses  +
Resolving Class Imbalance using Generative Adversarial Networks +
Artificial Intelligence and Learning Systems courses; good knowledge of machine learning and neural networks; python programming skills for implementing machine learning algorithms.  +
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