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This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to ...
Machine learning algorithms build a model based on sample data, known as training data, in order to make predictions or decisions without being explicitly programmed to do so.Machine learning ...
IITs and IIMs have taken up the task of narrowing the digital divide in the country. Today, anyone with a smartphone -- even in Tier 2 and 3 cities can access AI learning and tools, thanks to these ...
The project, titled “Leveraging Foundation Models for Aircraft Surface Inspection in Open Environments”, tackles three main machine learning concerns: a lack of precedents of actual defects required ...
Through the integration of sensing and computing functions into a single photosynapse, the neuromorphic visual system mitigates the substantial data redundancy caused by frequent data conversion and ...
Improving the Accuracy of Frosting Image Recognition for Cold Storage Evaporators Based on Gray-Level Co-occurrence Matrix and Multi-layer Extreme Learning Machine Abstract: Currently timed defrost ...
The advancement of underwater search and rescue technology has made target image recognition crucial for improving efficiency and accuracy in side-scan sonar operations. However, the complexity of the ...
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