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A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder.

, , и . Concurr. Comput. Pract. Exp., (2022)

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A deep neural network and random forests driven computer vision framework for identification and prediction of metanil yellow adulteration in turmeric powder., , и . Concurr. Comput. Pract. Exp., (2022)A multi-channel convolutional neural network driven computer vision system towards identification of species and maturity stage of banana fruits: case studies with Martaman and Singapuri banana., , и . Int. J. Comput. Intell. Stud., 11 (1): 1-23 (2022)An approach for ordered dither using artificial neural network., , и . ICDIP, том 7546 из SPIE Proceedings, стр. 754627. SPIE, (2010)Binary grayscale halftone pattern generation using binary artificial bee colony (bABC)., , и . Signal Image Video Process., 7 (6): 1195-1209 (2013)Towards optimized binary pattern generation for grayscale digital halftoning: A binary particle swarm optimization (BPSO) approach., , и . J. Vis. Commun. Image Represent., 23 (8): 1245-1259 (2012)Rough Set Based Classification on Electronic Nose Data for Black Tea Application., , , и . ACITY (3), том 178 из Advances in Intelligent Systems and Computing, стр. 23-31. Springer, (2012)Discrimination of the maturity stages of Indian mango using QCM based electronic nose., , , , , , и . ISOEN, стр. 1-2. IEEE, (2019)Grayscale digital halftoning using binary PSO., , и . ReTIS, стр. 218-222. IEEE, (2011)Improvement of Quality Perception for Black CTC Tea by Means of an Electronic Tongue., , , , и . PerMIn, том 7143 из Lecture Notes in Computer Science, стр. 187-194. Springer, (2012)Binary genetic algorithm-based pattern LUT for grayscale digital half-toning., , и . Signal Image Video Process., 7 (2): 377-388 (2013)