LIBS development methodology for forensic nuclear materials analysis

Bobby Bhatt; Kalambuka Hudson Angeyo; Alix Dehayem-Kamadjeu

doi:10.1039/c7ay02520c

LIBS development methodology for forensic nuclear materials analysis

Analytical Methods ◽

10.1039/c7ay02520c ◽

2018 ◽

Vol 10 (7) ◽

pp. 791-798 ◽

Cited By ~ 11

Author(s):

Bobby Bhatt ◽

Kalambuka Hudson Angeyo ◽

Alix Dehayem-Kamadjeu

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

Forensic Analysis ◽

Nuclear Materials ◽

Methodology Development ◽

Materials Analysis ◽

Development Methodology ◽

Selection For ◽

Spectral Feature Selection ◽

Nuclear Forensic

Methodology development of LIBS coupled with chemometrics utilizing weak U-lines and spectral feature selection for rapid nuclear forensic analysis.

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A New Approach for Spatio-Spectral Feature Selection for Sensors with Noisy and Overlapping Spectral Bands

IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium ◽

10.1109/igarss.2008.4780109 ◽

2008 ◽

Author(s):

Biliana S. Paskalva ◽

Majeed M. Hayat ◽

Woo-Yong Jang ◽

Sanjay Krishna

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

New Approach ◽

Spectral Bands ◽

Selection For ◽

Spectral Feature Selection

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Spectral Feature Selection for Data Mining

10.1201/b11426 ◽

2011 ◽

Cited By ~ 37

Author(s):

Zheng Alan Zhao ◽

Huan Liu

Keyword(s):

Data Mining ◽

Feature Selection ◽

Spectral Feature ◽

Selection For ◽

Spectral Feature Selection

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Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI

International Journal of Imaging Systems and Technology ◽

10.1002/ima.22141 ◽

2015 ◽

Vol 25 (3) ◽

pp. 245-255 ◽

Cited By ~ 14

Author(s):

Bharti Rana ◽

Akanksha Juneja ◽

Mohit Saxena ◽

Sunita Gudwani ◽

S. Senthil Kumaran ◽

...

Keyword(s):

Parkinson’S Disease ◽

Parkinson's Disease ◽

Feature Selection ◽

Graph Theory ◽

Spectral Feature ◽

Computer Aided Diagnosis ◽

Computer Aided ◽

Selection For ◽

Spectral Feature Selection ◽

Aided Diagnosis

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Automatic Spatial–Spectral Feature Selection for Hyperspectral Image via Discriminative Sparse Multimodal Learning

IEEE Transactions on Geoscience and Remote Sensing ◽

10.1109/tgrs.2014.2321405 ◽

2015 ◽

Vol 53 (1) ◽

pp. 261-279 ◽

Cited By ~ 38

Author(s):

Qian Zhang ◽

Yuan Tian ◽

Yiping Yang ◽

Chunhong Pan

Keyword(s):

Feature Selection ◽

Hyperspectral Image ◽

Spectral Feature ◽

Multimodal Learning ◽

Selection For ◽

Spectral Feature Selection

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High-Dimensional Spectral Feature Selection for 3D Object Recognition Based on Reeb Graphs

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-642-14980-1_11 ◽

2010 ◽

pp. 119-128 ◽

Cited By ~ 6

Author(s):

Boyan Bonev ◽

Francisco Escolano ◽

Daniela Giorgi ◽

Silvia Biasotti

Keyword(s):

Feature Selection ◽

Object Recognition ◽

Spectral Feature ◽

High Dimensional ◽

3D Object Recognition ◽

3D Object ◽

Selection For ◽

Reeb Graphs ◽

Spectral Feature Selection

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Continuous Wavelet Analysis Based Spectral Feature Selection For Winter Wheat Yellow Rust Detection

Intelligent Automation & Soft Computing ◽

10.1080/10798587.2011.10643167 ◽

2011 ◽

Vol 17 (5) ◽

pp. 531-540 ◽

Cited By ~ 5

Author(s):

Zhang Jingcheng ◽

Luo Juhua ◽

Huang Wenjiang ◽

Wang Jihua

Keyword(s):

Feature Selection ◽

Wavelet Analysis ◽

Winter Wheat ◽

Yellow Rust ◽

Spectral Feature ◽

Continuous Wavelet ◽

Selection For ◽

Spectral Feature Selection

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Neural Networks and Spectral Feature Selection for Retrieval of Hot Gases Temperature Profiles

International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06) ◽

10.1109/cimca.2005.1631449 ◽

2006 ◽

Cited By ~ 1

Author(s):

E. Garcia-Cuesta ◽

I.M. Galvan ◽

A.J. de Castro

Keyword(s):

Neural Networks ◽

Feature Selection ◽

Spectral Feature ◽

Temperature Profiles ◽

Selection For ◽

Spectral Feature Selection

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Spectral feature selection for supervised and unsupervised learning

Proceedings of the 24th international conference on Machine learning - ICML '07 ◽

10.1145/1273496.1273641 ◽

2007 ◽

Cited By ~ 325

Author(s):

Zheng Zhao ◽

Huan Liu

Keyword(s):

Feature Selection ◽

Unsupervised Learning ◽

Spectral Feature ◽

Supervised And Unsupervised Learning ◽

Selection For ◽

Spectral Feature Selection

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Spectral feature selection for shape characterization and classification

The Visual Computer ◽

10.1007/s00371-011-0612-9 ◽

2011 ◽

Vol 27 (11) ◽

pp. 1005-1019 ◽

Cited By ~ 11

Author(s):

S. Marini ◽

G. Patané ◽

M. Spagnuolo ◽

B. Falcidieno

Keyword(s):

Feature Selection ◽

Spectral Feature ◽

Selection For ◽

Spectral Feature Selection ◽

Shape Characterization

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Quality based classification of gasoline samples by ATR-FTIR spectrometry using spectral feature selection with quadratic discriminant analysis

Fuel ◽

10.1016/j.fuel.2013.04.001 ◽

2013 ◽

Vol 111 ◽

pp. 96-102 ◽

Cited By ~ 18

Author(s):

Mohammadreza Khanmohammadi ◽

Amir Bagheri Garmarudi ◽

Keyvan Ghasemi ◽

Miguel de la Guardia

Keyword(s):

Feature Selection ◽

Discriminant Analysis ◽

Spectral Feature ◽

Quadratic Discriminant Analysis ◽

Ftir Spectrometry ◽

Spectral Feature Selection

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