Results 31 to 40 of about 159 (100)
Analyzing Decision‐Making Processes Using the Energy of Bipolar Neutrosophic Soft Sets
Bipolar neutrosophic soft sets are powerful tools for modeling data under conditions of uncertainty and imprecision due to their rich parametric structure and the useful mathematical properties of the operations defined on them. In this paper, motivated by the limitations of existing decision‐making algorithms, we introduce a new numerical ...
Marina Svičević +4 more
wiley +1 more source
In graph theory, the Randic index (R) is a topological graph invariant widely used as a physicochemical descriptor in the mathematical modeling of molecular structures. However, traditional molecular graphs fail to capture the heterogeneity of chemical bonds, since they treat all edges as uniform, ignoring variations in bond lengths and strengths.
Ying Wang +5 more
wiley +1 more source
Fuzzy Computational Analysis of Fuzzy Tadpole Graph
In this paper, we explore the application of fuzzy topological indices to the fuzzy tadpole graph TA,B, a hybrid structure that combines the cyclic and path‐like components within a fuzzy framework. We compute and analyze several key fuzzy indices, including the fuzzy Zagreb indices, fuzzy Randić index, fuzzy Harmonic index, fuzzy Sombor index, fuzzy ...
Shama Liaqat +3 more
wiley +1 more source
Self-control depletion: Mechanisms and its effects on consumer behavior.. [PDF]
Het doel van dit doctoraat was inzicht te verwerven in de processen die deel uitmaken van zelfcontrole en uitputting van zelfcontrole (d.i. een moeilijkheid om zelfcontrole uit te oefenen na eerdere uitoefening van z elfcontrole).
Bruyneel, Sabrina
core
UEG Week 2025 Poster Presentations
United European Gastroenterology Journal, Volume 13, Issue S8, Page S803-S1476, October 2025.
wiley +1 more source
Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms. [PDF]
Basurto-Hurtado JA +5 more
europepmc +1 more source
The past, current, and future of neonatal intensive care units with artificial intelligence: a systematic review. [PDF]
Keles E, Bagci U.
europepmc +1 more source

