Neutrosophic Triplet Group and Related Algebraic Aspects [PDF]
Neutrosophic triplet groups is new algebraic structure which is each element has a neutral element denoted by neut so that satisfy a neut a neut a a a dan opposite element denoted by anti so that satisfy a anti a anti a a neut a
FARAH HASNA, PANGESTI
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© 2016, The Natural Computing Applications Forum. Groups are the most fundamental and rich algebraic structure with respect to some binary operation in the study of algebra.
M Ali (6099503) +1 more
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Optimal control of a fractional order model for granular SEIR epidemic with uncertainty. [PDF]
Dong NP, Long HV, Khastan A.
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Multiclass classification using neural networks and interval neutrosophic sets [PDF]
This paper presents a new approach to the problem of multiclass classification. The proposed approach has the capability to provide an assessment of the uncertainty value associated with the results of the prediction.
Wong, K.W., Fung, C.C., Kraipeerapun, P.
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Pseudo-Manifold Geometries with Applications [PDF]
A Smarandache geometry is a geometry which has at least one Smarandachely denied axiom(1969), i.e., an axiom behaves in at least two different ways within the same space, i.e., validated and invalided, or only invalided but in multiple distinct ways and ...
Mao, Linfan
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Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography. [PDF]
Guo Y +6 more
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Neutrosophic Triplet Structures - Vol. 1
Neutrosophic set has been derived from a new branch of philosophy, namely Neutrosophy. Neutrosophic set is capable of dealing with uncertainty, indeterminacy and inconsistent information. Neutrosophic set approaches are suitable to modeling problems with
Sahin, Memet, Smarandache, Florentin
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Explainable Neutrosophic Knowledge Distillation Model for Ocular Disease Classification Using Ultra-Wide Field Fundus Images. [PDF]
Sobahi N +3 more
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A dual hesitant fuzzy entropy-TOPSIS framework for multi-criteria evaluation of medical E-learning systems. [PDF]
Abughazalah N, Khan M.
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LeafSightX: an explainable attention-enhanced CNN fusion model for apple leaf disease identification. [PDF]
Haque ME +5 more
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