Results 91 to 100 of about 544,725 (129)
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Journal of Hazardous Materials, 2020
In this study, we developed an innovative spherical biochar with high porosity and excellent paracetamol (PRC) adsorption capacity. The optimal pyrolysis temperatures for the preparation of spherical biochar (derived from pure glucose) and non-spherical ...
Hai Nguyen Tran +8 more
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In this study, we developed an innovative spherical biochar with high porosity and excellent paracetamol (PRC) adsorption capacity. The optimal pyrolysis temperatures for the preparation of spherical biochar (derived from pure glucose) and non-spherical ...
Hai Nguyen Tran +8 more
semanticscholar +1 more source
Science Bulletin, 2020
In this work, a rational design and construction of porous spherical NiO@NiMoO4 wrapped with PPy was reported for the application of high-performance supercapacitor (SC).
Tingfeng Yi +8 more
semanticscholar +1 more source
In this work, a rational design and construction of porous spherical NiO@NiMoO4 wrapped with PPy was reported for the application of high-performance supercapacitor (SC).
Tingfeng Yi +8 more
semanticscholar +1 more source
Engineering applications of artificial intelligence, 2020
The hybrid of AHP and TOPSIS has led researchers to integrate the combination with different extensions of fuzzy sets. The recently developed three-dimensional spherical fuzzy set is an extension of the fuzzy set, which is effective in handling ...
Manoj Mathew, R. Chakrabortty, M. Ryan
semanticscholar +1 more source
The hybrid of AHP and TOPSIS has led researchers to integrate the combination with different extensions of fuzzy sets. The recently developed three-dimensional spherical fuzzy set is an extension of the fuzzy set, which is effective in handling ...
Manoj Mathew, R. Chakrabortty, M. Ryan
semanticscholar +1 more source
Spherical fuzzy sets and spherical fuzzy TOPSIS method
Journal of Intelligent & Fuzzy Systems, 2018All the extensions of ordinary fuzzy sets with three dimensional membership functions such as intuitionistic fuzzy sets (IFS), intuitionistic fuzzy sets of second type (IFS2), and neutrosophic fuzzy sets (NFS) aim at defining the judgments of decision ...
F. Gündogdu, C. Kahraman
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Learning SO(3) Equivariant Representations with Spherical CNNs
International Journal of Computer Vision, 2017We address the problem of 3D rotation equivariance in convolutional neural networks. 3D rotations have been a challenging nuisance in 3D classification tasks requiring higher capacity and extended data augmentation in order to tackle it. We model 3D data
Carlos Esteves +3 more
semanticscholar +1 more source
Calibration of the discrete element method: Strategies for spherical and non-spherical particles
, 2020The discrete element method (DEM) is a numerical tool used for the modelling of granular materials. However, accurate predictions of material behaviour can only be made if the input parameter values are carefully selected.
C. Coetzee
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A novel fuzzy TOPSIS method using emerging interval-valued spherical fuzzy sets
Engineering applications of artificial intelligence, 2019All the extensions of ordinary fuzzy sets with three-dimensional membership functions such as intuitionistic fuzzy sets, second type intuitionistic fuzzy sets (or Pythagorean fuzzy sets) and neutrosophic sets aim at defining the judgments of decision ...
F. Gündogdu, C. Kahraman
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Spherical fuzzy sets and their applications in multi-attribute decision making problems
Journal of Intelligent & Fuzzy Systems, 2018The key objective of the present proposed work in this paper is introduced a new version of picture fuzzy set so called spherical fuzzy sets (SFS). spherical fuzzy set is a new extension of picture fuzzy sets and Pythagorean fuzzy sets.
Shahzaib Ashraf +4 more
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A novel VIKOR method using spherical fuzzy sets and its application to warehouse site selection
Journal of Intelligent & Fuzzy Systems, 2019The extensions of ordinary fuzzy sets such as intuitionistic fuzzy sets (IFS), Pythagorean fuzzy sets (PFS), and neutrosophic sets (NS), whose membership functions are based on three dimensions, aim at collecting experts’ judgments more informatively and
F. Gündogdu, C. Kahraman
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Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
Computer Vision and Pattern Recognition, 2019We present a generic, flexible and 3D rotation invariant framework based on spherical symmetry for point cloud recognition. By introducing regular icosahedral lattice and its fractals to approximate and discretize sphere, convolution can be easily ...
Yongming Rao, Jiwen Lu, Jie Zhou
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