Results 61 to 70 of about 36,265 (295)

Neutrosophic Tangent Similarity Measure and Its Application to Multiple Attribute Decision Making [PDF]

open access: yesNeutrosophic Sets and Systems, 2015
In this paper, the tangent similarity measure of neutrosophic sets is proposed and its properties are studied. The concept of this tangent similarity measure of single valued neutrosophic sets is a parallel tool of improved cosine similarity measure of ...
Kalyan Mondal, Surapati Pramanik
doaj  

Similarity Measures of Spherical Fuzzy Sets Based on Cosine Function and Their Applications

open access: yesIEEE Access, 2019
In this paper, we defined ten similarity measures between spherical fuzzy sets (SFSs) based on the cosine function by considering the degree of positive-membership, degree of neutral-membership, degree of non-membership and degree of refusual-membership ...
Guiwu Wei   +4 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

A Novel Kernel for RBF Based Neural Networks

open access: yesAbstract and Applied Analysis, 2014
Radial basis function (RBF) is well known to provide excellent performance in function approximation and pattern classification. The conventional RBF uses basis functions which rely on distance measures such as Gaussian kernel of Euclidean distance (ED ...
Wasim Aftab   +2 more
doaj   +1 more source

Comparison of Triply Periodic Minimal Surface Energy Absorbers Under Uniaxial Compressive Loading

open access: yesAdvanced Engineering Materials, EarlyView.
This study investigates LCD 3D printed Triply Periodic Minimal Surface (TPMS) structures as mechanical energy absorbers. By comparing various base designs and layered combinations under uniaxial compression, it identifies that a Diamond‐Gyroid sandwich structure offers superior performance.
Sergej Grednev   +2 more
wiley   +1 more source

Cosine Distance Measure between Neutrosophic Hesitant Fuzzy Linguistic Sets and Its Application in Multiple Criteria Decision Making

open access: yes, 2018
This paper proposes a neutrosophic hesitant fuzzy linguistic term set (NHFLTS) based on hesitant fuzzy linguistic term set (HFLTS) and neutrosophic set (NS), which can express the inconsistent and uncertainty information flexibly in multiple criteria ...
Xiaohong Chen, Dan Peng, Donghai Liu
core   +1 more source

Transfer Printing and Reconfiguration of Soft Electronics Using Digital Microfluidics and Laser Machining

open access: yesAdvanced Functional Materials, EarlyView.
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen   +15 more
wiley   +1 more source

MISFIRE FAULT DIAGNOSIS OF GASOLINE ENGINES USING THE COSINE MEASURE OF SINGLE-VALUED NEUTROSOPHIC SETS

open access: yesJournal of New Theory, 2016
Single-valued neutrosophic set (SVNS) is very suitable for expressing indeterminate and inconsistent information in fault diagnosis problems, and then its cosine measure is a useful mathematical tool for handling the decision making, pattern recognition,
Xiaoqi Wang, Jinling Wei, Jun Ye
doaj  

Cosine Similarity Tutorial

open access: yes, 2018
This is a tutorial on the cosine similarity measure.
Edel Garcia (5460320)
core   +1 more source

Integrated Field‐Free SOT Domain‐Wall Synapses and MTJ Stochastic Neurons for Hardware Boltzmann Machines

open access: yesAdvanced Functional Materials, EarlyView.
Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone   +8 more
wiley   +1 more source

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