Rapid prediction of deflections in multi-span continuous composite bridges using neural networks

2015 ◽  
Vol 15 (4) ◽  
pp. 893-909 ◽  
Author(s):  
R. K. Gupta ◽  
Sushil Kumar ◽  
K. A. Patel ◽  
Sandeep Chaudhary ◽  
A. K. Nagpal
Keyword(s):  
Neural Networks ◽  
Rapid Prediction ◽  
Composite Bridges

Plant Disease Detection and Classification Using Image Processing and Neural Networks

2020 ◽  
Vol 17 (11) ◽  
pp. 4920-4924
Author(s):  
A. Sivasangari ◽  
M. Sai Kishore ◽  
M. Poornesh ◽  
R. M. Gomathi ◽  
D. Deepa
Keyword(s):  
Neural Networks ◽  
Image Processing ◽  
Deep Learning ◽  
Food Security ◽  
Plant Disease ◽  
Digital Archive ◽  
Diseased Leaf ◽  
Rapid Prediction ◽  
The World ◽  
Severity Of The Disease

Plant disease is a major problem for food security, but in many parts of the world their rapid prediction remains difficult because of lack of the infrastructure required. New advances in machine vision achieved via deep learning have paved the way for diagnosis of AI-assisted diseases. To help determine the extent of plant disease, provide agricultural specialists with a digital archive with photos of diseased leaves. Estimate depends on Standard Area Diagrams (SADs), a collection of diseased leaf images, each of which includes an incrementally more diseased leaf compared to the previous one. Every SAD shows seriousness of the disease in terms of the percentage of the diseased leaf. Users then turn to the field for a leaf. For eg, equate it to SADs and use it to measure the severity of the disease. “This app is useful for crop consultants and research scientists looking to cut costs and improve the time and accuracy for assessing disease severity in plants.”

scholarly journals E-nose based rapid prediction of early mouldy grain using probabilistic neural networks

Bioengineered ◽  
2015 ◽  
Vol 6 (4) ◽  
pp. 222-226 ◽  
Author(s):  
Xiaoguo Ying ◽  
Wei Liu ◽  
Guohua Hui ◽  
Jun Fu
Keyword(s):  
Neural Networks ◽  
Probabilistic Neural Networks ◽  
Rapid Prediction

Neural networks for prediction of deflection in composite bridges

2012 ◽  
Vol 68 (1) ◽  
pp. 138-149 ◽  
Author(s):  
Zekarias Tadesse ◽  
K.A. Patel ◽  
Sandeep Chaudhary ◽  
A.K. Nagpal
Keyword(s):  
Neural Networks ◽  
Composite Bridges
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