Rapid Detection of Cadmium Concentration in Beche-de-mer Using Hyperspectral Imaging Technology and Deep Neural Networks Regression Technique

2021 ◽  
Author(s):  
Sigit Arianto ◽  
Adhi Harmoko Saputro ◽  
Teni Ernawati ◽  
Isnaeni Isnaeni ◽  
Cuk Imawan ◽  
...  
Keyword(s):  
Neural Networks ◽  
Hyperspectral Imaging ◽  
Rapid Detection ◽  
Deep Neural Networks ◽  
Cadmium Concentration ◽  
Regression Technique ◽  
Imaging Technology

Deep Neural Network Inverse-Design for Long Wave Infrared Hyperspectral Imaging

2021 ◽  
Vol 35 (11) ◽  
pp. 1336-1337
Author(s):  
Clayton Fowler ◽  
Sensong An ◽  
Bowen Zheng ◽  
Hong Tang ◽  
Hang Li ◽  
...  
Keyword(s):  
Neural Networks ◽  
Hyperspectral Imaging ◽  
Electromagnetic Waves ◽  
Deep Neural Networks ◽  
Structural Parameters ◽  
Inverse Design ◽  
Metal Insulator ◽  
Complex Interactions ◽  
Metal Insulator Metal ◽  
Long Wave Infrared

This paper presents a deep learning approach for the inverse-design of metal-insulator-metal metasurfaces for hyperspectral imaging applications. Deep neural networks are able to compensate for the complex interactions between electromagnetic waves and metastructures to efficiently produce design solutions that would be difficult to obtain using other methods. Since electromagnetic spectra are sequential in nature, recurrent neural networks are especially suited for relating such spectra to structural parameters.

Simple and rapid detection of microplastics in seawater using hyperspectral imaging technology

2019 ◽  
Vol 1050 ◽  
pp. 161-168 ◽  
Author(s):  
Jiajia Shan ◽  
Junbo Zhao ◽  
Yituo Zhang ◽  
Lifen Liu ◽  
Fengchang Wu ◽  
...  
Keyword(s):  
Hyperspectral Imaging ◽  
Rapid Detection ◽  
Imaging Technology

Deep neural networks trained with heavier data augmentation learn features closer to representations in hIT

2018 ◽  
Author(s):  
Alex Hernández-García ◽  
Johannes Mehrer ◽  
Nikolaus Kriegeskorte ◽  
Peter König ◽  
Tim C. Kietzmann
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Data Augmentation
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