Results 141 to 150 of about 491 (176)

Classifying AI-Powered prediction models for disability progression using the Tamir-Based complex fuzzy Aczel-Alsina WASPAS method. [PDF]

Sci Rep
Ahmmad J, Khan MA, Aldayel I, Mahmood T.
europepmc   +1 more source

A novel generalized Weibull Poisson G class of continuous probabilistic distributions with some copulas, properties and applications to real-life datasets. [PDF]

Sci Rep
Hashem AF, Abdelkawy MA, Muse AH, Yousof HM.   +3 more
europepmc   +1 more source

LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification. [PDF]

Front Artif Intell
Haque ME, Farid FA, Siam MK, Absur MN, Uddin J, Abdul Karim H.   +5 more
europepmc   +1 more source

Wiener index application in intuitionistic fuzzy rough graphs for transport network flow. [PDF]

Sci Rep
Shaik N, Shaik SB.
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Fuzzy APPSS: A novel method for quantifying COVID-19 impact in India under triangular spherical fuzzy environment. [PDF]

Sci Rep
Sakthivel AD, Augustin F.
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Adaptive identity-regularized generative adversarial networks with species-specific loss functions for enhanced fish classification and segmentation through data augmentation. [PDF]

Sci Rep
Marie HS, Draz MM, Elkhalik WA, Elbaz M.
europepmc   +1 more source

Segmentation of choroidal area in optical coherence tomography images using a transfer learning-based conventional neural network: a focus on diabetic retinopathy and a literature review. [PDF]

BMC Med Imaging
Saeidian J, Azimi H, Azimi Z, Pouya P, Asadigandomani H, Riazi-Esfahani H, Hayati A, Daneshvar K, Khalili Pour E.   +8 more
europepmc   +1 more source

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Some operations on Dombi neutrosophic graph

Journal of Ambient Intelligence and Humanized Computing, 2021
Neutrosophic graph is an extension of fuzzy graph and intuitionistic fuzzy graph. It is helpful to handle the uncertainty (vagueness), related with the information of any decision making problem, where intuitionistic fuzzy graph models may fail to model properly.
Arindam Dey, Anita Pal, Sankar Prasad Mondal   +2 more
exaly   +2 more sources

An approach to neutrosophic graph theory with applications

Soft Computing, 2017
Graph theory that can be used to describe the relationships among several individuals has numerous applications in diverse fields such as modern sciences and technology, database theory, data mining, neural networks, expert systems, cluster analysis, control theory, and image capturing. As a generalization of fuzzy set (FS) and intuitionistic fuzzy set
Ridvan Şahin
exaly   +2 more sources

Neutrosophic competition graphs with applications

Journal of Intelligent & Fuzzy Systems, 2017
In this research study, we present a new frame work for handling single-valued neutrosophic information by combining the single-valued neutrosophic sets with competition graphs. We introduce certain notions of single-valued neutrosophic competition graphs. We investigate some of their properties.
Muhammad Akram 0001, Saba Siddique
openaire   +1 more source