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An Efficient Diagnostic Approach for Multi-Class Classifica..:

, In: 2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT),

Saraswat, Sudhir ; Batra, Salil ; Neog, Protyush P... - p. 544-551 , 2024

Link: https://doi.org/10.1109/IDCIoT59759.2024.10467803

RT 
T1 <cTitle>2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)</cTitle>: T1 <Title>An Efficient Diagnostic Approach for Multi-Class Classification of Wheat Leaf Disease Using Deep Transfer and Ensemble Learning</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-10467803&Exemplar=1&LAN=DE
				
A1 Saraswat, Sudhir
A1 Batra, Salil
A1 Neog, Protyush P
A1 Sharma, Emani Likith
A1 Kumar, P. Pavan
A1 Kumar Pandey, Ankit
YR 2024
K1 Deep learning
K1 Visualization
K1 Transfer learning
K1 Robustness
K1 Quality assessment
K1 Ensemble learning
K1 Medical diagnosis
K1 Deep-Learning(DL)
K1 DenseNet121
K1 ResNet50
K1 Recurrent Neural Network(RNN)
K1 Ensemble-learning
K1 Visual Geometry Group(VGG)
K1 Convolutional Neural Networks(CNN)
K1 Artificial Neural Networks(ANN)
K1 SimpleNet
K1 Wheat Leaf Disease (WLD)
K1 Fully Convolutional Network(FCN)
SP 544
OP 551
LK http://dx.doi.org/https://doi.org/10.1109/IDCIoT59759.2024.10467803
DO https://doi.org/10.1109/IDCIoT59759.2024.10467803
SF ELIB - SuUB Bremen

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