甜得发腻
发表于 2025-3-27 00:20:50
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Cabinet
发表于 2025-3-27 01:31:58
https://doi.org/10.1007/978-3-031-18935-7 error (MSE) and Structural similarity index (SSIM) have been calculated for the images denoised using the anisotropic diffusion filter, wavelet filter, bilateral filter, Non-local mean filter (NLM), wiener filter, total variation filter (TV) BM3D filter, median and Gaussian filter. The wavelet filt
易受骗
发表于 2025-3-27 08:48:39
https://doi.org/10.1007/978-3-031-20425-8, the output of a predictive model is measured and compared. In this investigation, we have used an artificial neural network for modeling the properties of Tandem Silicon solar cells. For training the neural network, we have used three input parameters and one output parameter. Short circuit curren
滑稽
发表于 2025-3-27 10:16:46
Zaffar Ahmad Nadaf,Javid Ahmad Ahanger into small pieces without losing its message. We have taken data from Wikipedia and applied summarization techniques to reduce the content without changing its meaning for demonstrating the concept during this research. Abstractive methods generate an internal semantic representation of the origina
kidney
发表于 2025-3-27 14:08:43
1865-0929 oted to data sciences, organizing principles, medical technologies, computational linguistics etc..*The conference was held virtually due to the COVID-19 pandemic.978-3-030-88243-3978-3-030-88244-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
Scleroderma
发表于 2025-3-27 21:00:19
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正面
发表于 2025-3-28 00:23:14
1865-0929 ces, ICACDS 2021, held in Nashik, India, in April 2021.*.The 103 full papers were carefully reviewed and selected from 781 submissions. Part II is devoted to data sciences, organizing principles, medical technologies, computational linguistics etc..*The conference was held virtually due to the COVID
sterilization
发表于 2025-3-28 04:38:21
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Toxoid-Vaccines
发表于 2025-3-28 08:26:37
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parsimony
发表于 2025-3-28 11:17:49
Socio-economic Perspectives of COVID-19ion techniques and transfer learning give promising result in ISL hand gesture recognition. For 11 categories of ISL words, we have achieved 99.07% accuracy that outperforms accuracy reported by existing approach.