Artificial Intelligence and Data Science in Environmental Sensing by Mohsen Asadnia;Amir Razmjou;Amin Beheshti; & Amir Razmjou & Amin Beheshti
Author:Mohsen Asadnia;Amir Razmjou;Amin Beheshti; & Amir Razmjou & Amin Beheshti [Неизв.]
Language: eng
Format: epub
ISBN: 9780323905077
Publisher: Elsevier Ltd.
Published: 2022-02-11T13:45:51+00:00
LDA, linear discriminant analysis; MLP, multilayer perceptron; SVM, support vector machine.
References
1. Dubey S.R, Jalal A.S. Application of image processing in fruit and vegetable analysis: a review. J. Intell. Syst. 2015;24(4):405â424.
2. Bhargava A, Bansal A. Fruits and vegetables quality evaluation using computer vision: a review. J. King Saud Univ. Comput. Inf. Sci. 2021;33(3):243â257.
3. Li J, Huang W, Zhao C. Machine vision technology for detecting the external defects of fruitsâa review. Imag. Sci. J. 2015;63(5):241â251.
4. Amit Y, Felzenszwalb P.F. In: Object Detection . University of Chicago; 2014. Brown.edu website.
5. Martinez A.M. Face recognition, overview. In: Li S.Z, Jain A, eds. Encyclopedia of Biometrics . Boston, MA: Springer US; 2009:355â359.
6. Asadnia M, Chua L.H, Qin X, Talei A. Improved particle swarm optimizationâbased artificial neural network for rainfall-runoff modeling. J. Hydrol. Eng. 2014;19(7):1320â1329.
7. Asadnia M, Khorasani A.M, Warkiani M.E. An accurate PSO-GA based neural network to model growth of carbon nanotubes. J. Nanomater. 2017;2017.
8. Asadnia M, Yazdi M.S, Khorasani A.M. An improved particle swarm optimization based on neural network for surface roughness optimization in face milling of 6061-T6 aluminum. Int. J. Appl. Eng. Res. 2010;5(19):3191â3201.
9. Deleted in review.
10. Adjabi I, Ouahabi A, Benzaoui A, Taleb-Ahmed A. Past, present, and future of face recognition: a review. Electronics . 2020;9(8):1188.
11. Hamuda E, Glavin M, Jones E. A survey of image processing techniques for plant extraction and segmentation in the field. Comput. Electron. Agric. 2016;125:184â199.
12. Perez A, Lopez F, Benlloch J, Christensen S. Colour and shape analysis techniques for weed detection in cereal fields. Comput. Electron. Agric. 2000;25(3):197â212.
13. Pajares G, Ruz J.J, de la Cruz J.M. Performance analysis of homomorphic systems for image change detection. In: Iberian Conference on Pattern Recognition and Image Analysis . Springer; 2005:563â570.
14. Asadnia M, et al. Mercury (II) selective sensors based on AlGaN/GaN transistors. Anal. Chim. Acta . 2016;943:1â7.
15. Syed M.S, Rafeie M, Henderson R, Vandamme D, Asadnia M, Warkiani MEJLoaC. A 3D-printed mini-hydrocyclone for high throughput particle separation: application to primary harvesting of microalgae. Lab Chip . 2017;17(14):2459â2469.
16. Ejeian F, et al. Biosensors for wastewater monitoring: a review. Biosens. Bioelectron. 2018;118:66â79.
17. Mahmud M, et al. Recent progress in sensing nitrate, nitrite, phosphate, and ammonium in aquatic environment. Chemosphere . 2020:127492.
18. Riehle D, Reiser D, Griepentrog H.W. Robust index-based semantic plant/background segmentation for RGB-images. Comput. Electron. Agric. 2020;169:105201. .
19. Rachmawati E, Supriana I, Khodra M.L. Multiclass fruit classification of RGB-D images using color and texture feature. In: International Conference on Soft Computing, Intelligence Systems, and Information Technology . Springer; 2015:257â268.
20. Zawbaa H.M, Hazman M, Abbass M, Hassanien A.E. Automatic fruit classification using random forest algorithm. In: 2014 14th International Conference on Hybrid Intelligent Systems . IEEE; 2014:164â168.
21. Chowdhury M.T, Alam M.S, Hasan M.A, Khan M.I. Vegetables detection from the glossary shop for the blind. IOSR J. Electr. Electron. Eng. 2013;8(3):43â53.
22. Zhang Y, Phillips P, Wang S, Ji G, Yang J, Wu J. Fruit classification by biogeographyâbased optimization and feedforward neural network. Expet Syst. 2016;33(3):239â253.
23. Bolle R.M, Connell J.H, Haas N, Mohan R, Taubin G. VeggieVision: a produce recognition system. In: Proceedings Third IEEE Workshop on Applications of Computer Vision.
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