Synthetic Waveform Generation for Image Classifier
Description
I'm looking to develop an image classifier model to detect and classify patient ventilator asynchrony events, specifically trigger asynchrony, cycle asynchrony, and flow asynchrony.
Currently, I don't have any data for training the model. I need to generate synthetic waveforms using a combination of mathematical models and rule-based algorithms.
Key Requirements:
- Generate synthetic waveforms for training
- Use a combination of mathematical models and rule-based algorithms
- Classify three types of asynchrony events: trigger, cycle, and flow
Ideal Skills and Experience:
- Proficiency in Python
- Experience with synthetic data generation
- Knowledge of image classification and machine learning
- Familiarity with ventilator waveforms and asynchrony events Budget: INR 1500–12500 Skills: Python, Matlab and Mathematica, Algorithm, Machine Learning (ML), Artificial Intelligence, AI Text-to-text, AI Model Development, AI Development
Skills
AlgorithmAIMachine Learning (ML)Machine LearningArtificial IntelligenceAI Text-to-textMatlab and MathematicaAI Model DevelopmentMATLABMLPythonAI Development
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