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A Novel Approach to Predict the Satellite Image Using CNN-R..:

, In: 2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM),

Madhuri, Ch. Bindu ; Prathima, Ch. ; Jyoshna, R... - p. 1-7 , 2024

Link: https://doi.org/10.1109/ICONSTEM60960.2024.10568751

RT 
T1 <cTitle>2024 Ninth International Conference on Science Technology Engineering and Mathematics (ICONSTEM)</cTitle>: T1 <Title>A Novel Approach to Predict the Satellite Image Using CNN-ResNet Model Through Flask Application</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10568751&Exemplar=1&LAN=DE
				
A1 Madhuri, Ch. Bindu
A1 Prathima, Ch.
A1 Jyoshna, R
A1 Varsha, Varikunta Sri
A1 Khan, PhatanAyub
A1 Babu, Sammeta Mahesh
YR 2024
K1 Training
K1 Analytical models
K1 Neural networks
K1 Land surface
K1 Predictive models
K1 Satellite images
K1 Convolutional neural networks
K1 Satellite image prediction
K1 Convolutional Neural Network (CNN)
K1 Residual Network (ResNet)
K1 Hybrid architecture
K1 Deep learning
K1 Feature extraction
K1 Geospatial analytics
K1 Environmental monitoring
K1 Land cover classification
K1 Remote sensing
K1 Transfer learning
K1 Gradient flow
K1 Spatial patterns
K1 Earth observation
K1 Predictive modeling
SP 1
OP 7
LK http://dx.doi.org/https://doi.org/10.1109/ICONSTEM60960.2024.10568751
DO https://doi.org/10.1109/ICONSTEM60960.2024.10568751
SF ELIB - SuUB Bremen

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