Carter
发表于 2025-3-21 19:37:22
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gonioscopy
发表于 2025-3-21 23:43:29
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OATH
发表于 2025-3-22 03:03:25
https://doi.org/10.1007/978-3-031-09218-3Climate Change Management; Secondary Agriculture in India; Sustainable development; Integrated farming
边缘
发表于 2025-3-22 08:33:38
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琐碎
发表于 2025-3-22 10:14:22
to advances in computing technologies, learning algorithms, and availability of large amounts of labelled data. Image texture analysis is helpful and important to extracting valuable features of images in order to perform the aforementioned tasks. Markov Random Field (MRF) theory defines probabilist
debble
发表于 2025-3-22 15:46:15
Ashaq Hussain,Intikhab A. Jehangir,Najeebul Rehman Sofi,M. Anwar Bhat,S. Sheraz Mahdi Table of Contents XV XVI Table of Contents K.S. Leung, L.-W. Chan, and H. Meng (Eds.): IDEAL 2000, LNCS 1983, pp. 3›8, 2000. Springer-Verlag Berlin Heidelberg 2000 4 J. Sinkkonen and S. Kaski Clustering by Similarity in an Auxiliary Space 5 6 J. Sinkkonen and S. Kaski Clustering by Similarity in an
Encumber
发表于 2025-3-22 17:17:16
S. S. Walia,Tamanpreet Kaurf industrial products. In order to process the uncertainty existing in these sensory data, we first transform all sensory data into fuzzy sets on a unified scale using the 2-tuple fuzzy linguistic model. Based on these normalized data sets, we compute the dissimilarities or distances between differe
HAUNT
发表于 2025-3-23 00:56:52
Zahoor A. Dar,Azra Khan,Ajaz A. Lone,Fayaz Ahmed Bahar,S. Baghel,B. A. Lone,S. Sheraz Mahdi,Rukhsanasystems show a high ability for empowerment of standard ANN model performance when used for prediction/classification problems with complex datasets characterized by nonlinear relations between the variables. Training and testing systems are robust data resampling techniques that are able to arrange
Demonstrate
发表于 2025-3-23 03:20:41
Showket Ahmad Dar,Syed Sheraz Mahdi,Fahd Mohammed Abd Al Galil,Sajad Hussain Mir,Rukhsana Jan,Rania ern matching. First, it uses wavelet transforms to decompose the laser induced spectrum data which comes from the sample and obtain the decomposition coefficient of spectrum, then reconstructs the feature background spectrum by means of low frequency coefficient. Through using pattern cluster method
Femish
发表于 2025-3-23 05:40:13
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