Extraction of region of interest from brain MRI by converting images into neutrosophic domain using the modified S-function. [PDF]
J Med Imaging (Bellingham), 2021 Tufail Z +4 more
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Differential Deep Convolutional Neural Network Model for Brain Tumor Classification. [PDF]
Brain Sci, 2021 Abd El Kader I +5 more
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Uncertain regression model with autoregressive time series errors. [PDF]
Soft comput, 2021 Chen D.
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Neutrosophy and Its Philosophical Context: A Comparative Analysis
HyperSoft Set Methods in EngineeringNeutrosophy, as a new branch of philosophy, represents a significant departure from and extension of traditional philosophical perspectives. It emphasizes the study of neutralities—those ideas, states, or conditions that exist between opposites—and their interactions with ideational spectra.
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A Novel Neutrosophic Method for Automatic Seed Point Selection in Thyroid Nodule Images. [PDF]
Biomed Res Int, 2019 Haji SO, Yousif RZ.
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Uncertainty handling in convolutional neural networks. [PDF]
Neural Comput Appl, 2022 Rashno E, Akbari A, Nasersharif B.
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Neutrosophy in Arabic Philosophy [English version; and Arabic version]
, 2007 Neutrosophy is a theory developed in 1995 by Florentin Smarandache as a generalization of dialectic. This theory considers every notion or idea together with its opposite or negation and the spectrum of "neutralities" (i.e. notions or ideas located between the two extremes, supporting neither nor ).
Smarandache, Florentin, Osman, Salah
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Developing a Risk Reduction Support System for Health System in Iran: A Case Study in Blood Supply Chain Management. [PDF]
Int J Environ Res Public Health, 2022 Sibevei A +4 more
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Brain tumour segmentation in fused MRI-PET images with permutate U-Net framework. [PDF]
PLoS OneKaruna Y +5 more
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