Refining Tree‐Decompositions so That They Display the k‐Blocks
ABSTRACT Carmesin and Gollin proved that every finite graph has a canonical tree‐decomposition (T , V ) $(T,{\mathscr{V}})$ of adhesion less than k $k$ that efficiently distinguishes every two distinct k $k$‐profiles, and which has the further property that every separable k $k$‐block is equal to the unique part of (T , V ) $(T,{\mathscr{V}})$ in which
Sandra Albrechtsen
wiley +1 more source
Reliability analysis of subsea pipeline system based on fuzzy polymorphic bayesian network. [PDF]
Liu C+9 more
europepmc +1 more source
Background Temporal diffusion spectroscopy (TDS) is a noninvasive diffusion imaging technique used to characterizing cellular microstructures. The influence of multiband (MB) on TDS, particularly in breast tumor imaging remain unknown. Purpose To investigate the influence of MB on TDS in terms of scanning time, image quality, and quantitative ...
Jie Ding+9 more
wiley +1 more source
An empirical evaluation of fuzzy bidirectional long short-term memory with soft computing based decision-making model for predicting volatility of cryptocurrencies. [PDF]
Ragab M.
europepmc +1 more source
Case Study of Non Strong Arc in Cartesian Product of Fuzzy Graphs
C.Y. Ponnappan, V. Senthilkumar
openalex +1 more source
Not Even Remotely Close: How Co‐Location Imbalance Affects Subgroup Formation in Hybrid Teams
ABSTRACT Despite the substantial proliferation of hybrid work, little has been done to reconcile extant individual‐ and team‐level perspectives. This is problematic because it does not acknowledge how individuals' hybrid work practices constrain team‐level interactions and subsequent outcomes.
Lisa Handke+3 more
wiley +1 more source
Conflict analysis of disputes in livelihood vulnerability assessment of flood using fuzzy TOPSIS method and GMCR with triangular fuzzy numbers. [PDF]
Sun X, Wang D.
europepmc +1 more source
A personalized recommendation algorithm for English exercises incorporating fuzzy cognitive models and multiple attention mechanisms. [PDF]
Zhang Y, Wang Y.
europepmc +1 more source
Coherence Awareness in Diffractive Neural Networks
It is demonstrated that spatial coherence significantly impacts all‐optical diffractive neural networks, unlike imaging systems. A general framework is proposed for training diffractive networks for any specified degree of spatial and temporal coherence. Coherence‐blind networks are further introduced, which are resilient to illumination changes. These
Matan Kleiner+2 more
wiley +1 more source
Adaptive Non-Stationary Fuzzy Time Series Forecasting with Bayesian Networks. [PDF]
Wang B, Liu X.
europepmc +1 more source