Browsing Division of Mechanical Sciences by Subject "Deep Learning"
Now showing items 1-4 of 4
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Hyperspectral Remote Sensing for Land Cover Classification and Chlorophyll Content Estimation using Advanced Machine Learning Techniques
In the recent years, remote sensing data or images have great potential for continuous spatial and temporal monitoring of Earth surface features. In case of optical remote sensing, hyperspectral (HS) data contains abundant ... -
Learning Action Priors for Deep Visual Predictions
This thesis addresses the critical challenge of visual prediction in mobile robotics, particularly focusing on scenarios where cameras mounted on autonomous robots must navigate dynamic environments with human presence. ... -
Non-intrusive reduced order modeling of dynamical systems with large stochastic dimensions
The work done in this thesis falls under the broad category of computational mechanics. This thesis addresses the computational challenge of high-dimensional regression and interpolation within the framework of a proper ... -
XR and AI based Human in the Loop Assistance for Industry X.0 and above
The current generation of Industry 4.0 integrates automation and data in manufacturing, while the upcoming generation, Industry 5.0, aims to enable seamless interaction between humans, robots, and machines for sustainable ...