Misfire Fault Diagnosis Method of Gasoline Engines Using the Cosine Similarity Measure of Neutrosophic Numbers [PDF]
Neutrosophic Sets and Systems, 2015 This paper proposes a distance measure of neutrosophic numbers and a similarity measure based on cosine function, and then develops the misfire fault diagnosis method of gasoline engines by using the cosine similarity measure of neutrosophic numbers.
Lingwei Kong, Yuefeng Wu, Jun Ye
doaj
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets
, 2016 In this paper, we claim that Vector Cosine, which is generally considered one of the most efficient unsupervised measures for identifying word similarity in Vector Space Models, can be outperformed by a completely unsupervised measure that evaluates the ...
Chiu, Tin-Shing +4 more
core
Movie recommendation app with cosine similarity and flask [PDF]
MATEC Web of ConferencesPeople are constantly busy with their professions, businesses, and other endeavours in the world in which we currently live. The majority of them find that watching movies is the greatest way to unwind during the limited free time they have between jobs.
Vedhavyas P. +3 more
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BLINK enables ultrafast tandem mass spectrometry cosine similarity scoring. [PDF]
Sci Rep, 2023 Harwood TV +5 more
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Dynamic evaluation on slope ecological restoration effect based on cosine similarity and markov chain. [PDF]
Sci Rep, 2023 Chen W, Sun Y, Shi K.
europepmc +1 more source
ITEGAM-JETIAThe accurate classification of textual job data is crucial for understanding academic-to-employment transitions, particularly in the rapidly evolving Information Technology (IT) sector. This study tackles Isabela State University - Ilagan's (ISU-Ilagan)
Mark Gil Toribio Gañgan +1 more
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IBGJO: Improved Binary Golden Jackal Optimization with Chaotic Tent Map and Cosine Similarity for Feature Selection. [PDF]
Entropy (Basel), 2023 Zhang K, Liu Y, Mei F, Sun G, Jin J.
europepmc +1 more source
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
, 2017 Traditionally, multi-layer neural networks use dot product between the output vector of previous layer and the incoming weight vector as the input to activation function. The result of dot product is unbounded, thus increases the risk of large variance. Large variance of neuron makes the model sensitive to the change of input distribution, thus results
Luo, Chunjie +3 more
openaire +2 more sources
New cosine similarity and distance measures for Fermatean fuzzy sets and TOPSIS approach. [PDF]
Knowl Inf Syst, 2023 Kirişci M.
europepmc +1 more source
Multivariate Multiscale Cosine Similarity Entropy and Its Application to Examine Circularity Properties in Division Algebras. [PDF]
Entropy (Basel), 2022 Xiao H, Chanwimalueang T, Mandic DP.
europepmc +1 more source