Results 141 to 150 of about 439,963 (309)
Similarity Measure for Vector Field Learning
. Vector data containing direction and magnitude information other than position information is different from common point data only containing position information.
Hongyu Li, I-fan Shen
core +1 more source
StructSim: Meta-Structure-Based Similarity Measure in Heterogeneous Information Networks
Similarity measures in heterogeneous information networks (HINs) have become increasingly important in recent years. Most measures in such networks are based on the meta path, a relation sequence connecting object types. However, in real-world scenarios,
Yuyan Zheng, Jianhua Qu, Jiajia Yang
doaj +1 more source
A Similarity Measure-Based Approach Using RS-fMRI Data for Autism Spectrum Disorder Diagnosis. [PDF]
Zhang X +4 more
europepmc +1 more source
Modulation of Homer1 EVH1 domain internal dynamics by putative autism‐associated mutations
The putative autism‐associated M65I and S97L variants of the EVH1 domain of the postsynaptic scaffold protein Homer1 do not exhibit substantial changes in their overall structure or partner binding. Both of them, but especially the M65I variant, show altered internal dynamics relative to the wild‐type domain on the μs‐ms timescale, indicated by the ...
Fanni Farkas +6 more
wiley +1 more source
Feature Based Similarity Measure
This paper proposes a feature based similarity measure. The proposed measure calculates the likeness between two time series based on the number of common features between the series.
Sengupta, Shreeya +7 more
core +1 more source
GOntoSim: a semantic similarity measure based on LCA and common descendants. [PDF]
Kamran AB, Naveed H.
europepmc +1 more source
The pyruvate generator, which causes activation of respiration by extra‐mitochondrial Ca2+, is also present and functional in rat brainstem mitochondria, as it is in other brain regions. This finding is confirmed by experiments with a fully reconstituted malate–aspartate shuttle (MAS).
Grazyna Debska‐Vielhaber +7 more
wiley +1 more source
SIMILARITY MEASURE FOR SOCIAL NETWORKS.
Along with the growth in the use of social networks, the measurement of social parameters (e.g., centrality and similarity) becomes more important. Many algorithms have been proposed to measure the graph similarity as a representation of social networks.
Opim Salim Sitompul. +2 more
core +1 more source
Detecting and classifying online health misinformation with 'Content Similarity Measure (CSM)' algorithm: an automated fact-checking-based approach. [PDF]
Barve Y, Saini JR.
europepmc +1 more source

