Results 31 to 40 of about 8,931 (261)

A Rough-Set-Driven Kansei Design Method for Hybrid Electric Vehicle Front Faces Under Cultural Semantic Constraints

open access: yesMathematics
Hybrid electric vehicle (HEV) front-face styling is jointly constrained by functional requirements for engine intake, radiator cooling, and thermal management and by demands for brand identity and emotional expression. Existing Kansei engineering studies
Yichen Tian, Zimo Chen
doaj   +1 more source

Boundedness for a Class of Generalized Commutators of Fractional Hardy Operators with a Rough Kernel

open access: yesAbstract and Applied Analysis, 2013
The authors consider the generalized commutator of fractional Hardy operator with a rough kernel as follows: where , , and with . The authors prove that is bounded on Herz type space and -Central Morrey space with , which is an open problem for .
Xiao Yu, Shanzhen Lu
doaj   +1 more source

SHORT TIME FULL ASYMPTOTIC EXPANSION OF HYPOELLIPTIC HEAT KERNEL AT THE CUT LOCUS

open access: yesForum of Mathematics, Sigma, 2017
In this paper we prove a short time asymptotic expansion of a hypoelliptic heat kernel on a Euclidean space and a compact manifold. We study the ‘cut locus’ case, namely, the case where energy-minimizing paths which join the two points under ...
YUZURU INAHAMA, SETSUO TANIGUCHI
doaj   +1 more source

Boundedness of Marcinkiewicz Integrals and Their Commutators on Generalized Weighted Morrey Spaces

open access: yesJournal of Function Spaces, 2015
We will study the boundedness of Marcinkiewicz integrals with rough kernel on the generalized weighted Morrey spaces. We will also prove that the commutator operators formed by a BMORn function and Marcinkiewicz integrals are also bounded on the ...
Runqing Cui, Zhang Li
doaj   +1 more source

Evaluation modeling of highway collapse hazard based on rough set and support vector machine

open access: yesScientific Reports, 2022
The prediction of possibility and risk classification of collapse is an important issue in the process of highway construction in mountain area. Based on the principle of rough set and support vector machine, a landslide hazard prediction model was ...
Hujun He   +5 more
doaj   +1 more source

Heritability and Genetic Advance Estimates of Key Shea Fruit Traits

open access: yesAgronomy, 2023
Genetic erosion of shea trees, which has been on-going at an alarming rate, has necessitated urgent conservation attentions. Owing to the vast geographical distribution of the species across Ghana, in situ germplasms conservation was established by ...
Wisdom Edem Anyomi   +7 more
doaj   +1 more source

A Remote Sensing Image Semantic Segmentation Method by Combining Deformable Convolution with Conditional Random Fields [PDF]

open access: yesJournal of Geodesy and Geoinformation Science, 2020
Currently, deep convolutional neural networks have made great progress in the field of semantic segmentation. Because of the fixed convolution kernel geometry, standard convolution neural networks have been limited the ability to simulate geometric ...
ZUO Zongcheng,ZHANG Wen,ZHANG Dongying
doaj   +1 more source

A note on maximal commutators with rough kernels

open access: yesComptes Rendus. Mathématique, 2019
This paper gives a characterization of compactness for maximal commutators with rough kernels in weighted Lebesgue spaces, which is new and interesting even in un-weighted cases. Meanwhile, a new characterization of weighted boundedness for such operators is also established.
Wen, Yongming   +3 more
openaire   +2 more sources

Characterization of Defect Distribution in an Additively Manufactured AlSi10Mg as a Function of Processing Parameters and Correlations with Extreme Value Statistics

open access: yesAdvanced Engineering Materials, EarlyView.
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt   +8 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

open access: yesAdvanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang   +2 more
wiley   +1 more source

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