Property:Prerequisites

From ISLAB/CAISR
Jump to navigationJump to search

This is a property of type String.

previous 202050100250500next 20
Showing 20 pages using this property.
H
Human identification by handwriting of identity text +
Image Analysis  +
I
Ice rink resurfacing system for selfdriving vehicles having spiral codes +
Image Analysis, DEIS (Design of Embedded...)  +
Identification and Classification of Automotive Radar Interference using Data-driven Methods +
Programming for data analysis, experience with Matlab/Python (with ML-libraries), signal processing foundations  +
Identity verification of humans performing physical activities +
Background in signal analysis and programming are required. Interest in inertial sensors is a bonus.  +
Ideology and Power Identification in Parliamentary Debates +
NLP  +
Image Retrieval for Arguments +
ML, Python  +
Improved networks for cloud-car communication +
Mathematical statistics, machine learning, programming  +
Improving MEDication Adherence through Person Centered Care and Adaptive Interventions +
Courses Artificial Intelligence, learning systems. Good knowledge in applied data science/machine learning. Ability to implement state-of-the-art machine learning algorithms in a programming environment of your choice.  +
In-Vehicle Data Acquisition for Driving Behavior Profiling and Automotive AI Applications +
Communication, programming and hardware skills.  +
Intelligible patient representation for outcome prediction of congestive heart failure patients +
Good knowledge of applied mathematics. An ability to implement state-of-the-art algorithms in a suitable programming environment. An interest in machine learning algorithms and medical data analysis.  +
Interactive Anomaly Detection +
Requires very good understanding of ML and data mining techniques (especially for anomaly detection). Good programming skills (preferably in Python) are also required.  +
Investigating Robustness of DNNs +
Learning Systems, Data Mining, Parallel programming  +
Investigation of spread spectrum techniques to reduce the electromagnetic interference in switch mode power supply +
Knowledge of electromagnetic compatibility, electric motors, basics in C-programming, Matlab  +
IoT Forensics +
Strong Knowledge of Hardware Interface and Chip Reading Tools  +
L
Leveraging LLMs for Clinical Note Annotation and Uncertainty Estimation +
Statistics; Neural Networks; Programming (Python)  +
M
Machine Learning for Segmentation of Lensed Galaxies: Distinguishing Source Galaxies from Gravitational Lenses +
Good Programing skills, previous experience with CNN and deep learning, interest in astronomy data.  +
Machine Learning-based optimization of physical activity +
Machine Learning courses  +
Merging Clothoids with B-Splines +
Solid programming skills in Python, Matlab, or similar scientific computing language; foundations in analytical geometry  +
Meta-learning for Multivariate Signals +
A solid background in neural networks; good knowledge of Python for implementing deep learning algorithms. Courses: Learning System; Deep Learning  +
Meta-learning for evaluation and implementation of predictive maintenance solution +
Good knowledge of applied data science: classification and regression. Basic knowledge of optimization.  +
Retrieved from "https://mw.hh.se/caisr/index.php?title=Property:Prerequisites&oldid=579"