Abstract: Entity resolution is an important task in data integration and data cleaning. This study explores how graph-based techniques can address the challenges of data availability and label quality ...
The project is tested in a clean conda environment (02/08/26) and the following commands were used to make it work in Visual Studio Code. conda create -n thesisjm python=3.11 -y conda activate ...
Abstract: Limited availability of labeled data presents a significant challenge for underwater acoustic target recognition (UATR), often resulting in model overfitting and poor generalization. Data ...
Complete end-to-end AI pipeline for soil disease classification from sensor data. The system achieves 85.17% accuracy with F1-macro score of 0.8472 across 7 disease classes.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results