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AI for cloud classification
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Capturing transition in cloud organziations
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Lessons
Importance of cloud systems for Climate change and Renweable energy
4:00
Past state-of-the-art research studies and possible limitations
3:48
Deep learning Architecture and evolution of understanding
4:20
Integrating physical knowledge to find optimzed classes
4:48
Gaining inference of the identified classes by the neural network
4:11
Generalization: How does the network perform on unseen data
2:59
Application for solar enery using transfer learning from the pre-trained neural network
3:49
Significance of trade wind cumulus clouds & their organizational variability over tropics
4:33
Visual features of cloud organizations and exploiting them to capture the diversity
5:35
Finding optimal boundary conditions in the continous space
5:59
Extension of agreement between humans and machines for the identified cloud organizations
6:37
Capturing transition in cloud organziations
1:44
Dry - wet atmospheric intrusions
5:23
Importance of Satellite Cloud Remote Sensing
10:58
Satellite Cloud Remote Sensing Introduction
15:27
How can machine learning help cloud research?
24:59
Capturing transition in cloud organziations
In this video we will talk about catching transistion of one cloud system to other.
Lecturer
s
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Dwaipayan Chatterjee
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Prof.in Dr.in Susanne Crewell
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Dr. Christoph Böhm
Additional Material
Additional Material
Additional Material
