Results 41 to 50 of about 11,947 (275)

Solving Higher-Order Fractional Differential Equations by the Fuzzy Generalized Conformable Derivatives

Applied Computational Intelligence and Soft Computing, 2021
In this paper, the generalized concept of conformable fractional derivatives of order q∈n,n+1 for fuzzy functions is introduced. We presented the definition and proved properties and theorems of these derivatives.
Atimad Harir, Said Melliani, Lalla Saadia Chadli   +2 more
doaj   +1 more source

Fractional and time-scales differential equations [PDF]

, 2014
Resumo ...
Baleanu, D., Bhrawy, A. H., Salahshour, S., Torres, D. F. M.   +3 more
core   +3 more sources

Novel Evaluation of Fuzzy Fractional Helmholtz Equations

Journal of Function Spaces, 2022
The current article discusses the fuzzy new iterative transform approach, which is a combination of a fuzzy hybrid methodology and an iterative transformation technique. We establish the consistence of our strategy by obtaining fractional fuzzy Helmholtz
Meshari Alesemi, Naveed Iqbal, Noorolhuda Wyal   +2 more
doaj   +1 more source

NEUTROSOPHIC LOGIC, WAVE MECHANICS, AND OTHER STORIES [PDF]

, 2009
There is beginning for anything; we used to hear that phrase. The same wisdom word applies to the authors too. What began in 2005 as a short email on some ideas related to interpretation of the Wave Mechanics results in a number of papers and books up to
CHRISTIANTO, V., SMARANDACHE, F.
core   +1 more source

Existence and Stability of Solutions of Fuzzy Fractional Stochastic Differential Equations with Fractional Brownian Motions

Advances in Fuzzy Systems, 2021
The existence, uniqueness, and stability of solutions to fuzzy fractional stochastic differential equations (FFSDEs) driven by a fractional Brownian motion (fBm) with the Lipschitzian condition are investigated.
Elhoussain Arhrrabi, M’hamed Elomari, Said Melliani, Lalla Saadia Chadli   +3 more
doaj   +1 more source

Intelligent modelling of bioprocesses: A comparison of structured and unstructured approaches [PDF]

, 2004
This contribution moves in the direction of answering some general questions about the most effective and useful ways of modelling bioprocesses. We investigate the characteristics of models that are good at extrapolating.
Baganz, F, Hodgson, BJ, Kalganova, T, Leigh, JR, Taylor, CN, Ushio, U   +5 more
core   +1 more source

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu, Yuxi Gong, Weilin Xu, Xingjian Sun, Gefei Jiang, Lei Qiu, Kexin Shi, Mengxing Wu, Yinjiao Fei, Jinling Yuan, Jinyan Luo, Yurong Li, Yuandong Cao, Minhong Pan, Shu Zhou   +14 more
wiley   +1 more source

Analyzing fuzzy fractional Degasperis–Procesi and Camassa–Holm equations with the Atangana–Baleanu operator

Open Physics
This article presents a new approach for solving the fuzzy fractional Degasperis–Procesi (FFDP) and Camassa–Holm equations using the iterative transform method (ITM). The fractional Degasperis–Procesi (DP) and Camassa–Holm equations are extended from the
Alshehry Azzh Saad, Yasmin Humaira, Shah Manzoor Ali, Shah Rasool   +3 more
doaj   +1 more source

Robust Spot Melting by 3D Spot Arrangements in Electron Beam Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
This work proposes an approach to replace separately melted contours for spot melting in electron beam powder fusion. Adapting the spot arrangements close to the contour combined with stacking yields a comparable surface quality without the inherent challenges of separate contours, as demonstrated, by electron optical images and roughness measurements.
Tobias Kupfer, Lukas Spano, Sebastian Pohl, Carolin Körner, Matthias Markl   +4 more
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source