Search Results for author:
Found 7 papers, 0 papers with code
Learning adjacency matrix for dynamic graph neural network
In recent work, [1] introduced the concept of using a Block Adjacency Matrix (BA) for the representation of spatio-temporal data.
Feature Selection on Sentinel-2 Multi-spectral Imagery for Efficient Tree Cover Estimation
This paper proposes a multi-spectral random forest classifier with suitable feature selection and masking for tree cover estimation in urban areas.
Improved flood mapping for efficient policy design by fusion of Sentinel-1, Sentinel-2, and Landsat-9 imagery to identify population and infrastructure exposed to floods
A reliable yet inexpensive tool for the estimation of flood water spread is conducive for efficient disaster management.
Mitigating climate and health impact of small-scale kiln industry using multi-spectral classifier and deep learning
Industrial air pollution has a direct health impact and is a major contributor to climate change.
Survey of Image Based Graph Neural Networks
In this survey paper, we analyze image based graph neural networks and propose a three-step classification approach.
Tiny-Inception-ResNet-v2: Using Deep Learning for Eliminating Bonded Labors of Brick Kilns in South Asia
This paper proposes to employ a Inception-ResNet inspired deep learning architecture called Tiny-Inception-ResNet-v2 to eliminate bonded labor by identifying brick kilns within "Brick-Kiln-Belt" of South Asia.
Accurate Localization in Wireless Sensor Networks in the Presence of Cross Technology Interference
We propose and implement a novel range based localization algorithm to minimize cross technology interference operating in the same band.
