Results 41 to 50 of about 646,240 (193)

Cosine similarity between muscle synergies.

, 2017
(A) Cosine similarity between all possible combinations of muscle synergies extracted from running at 15 km/h. (B) Cosine similarity between all possible combinations of muscle synergies extracted from Sub2.
Toshio Moritani (83708), Motoki Kouzaki (747101), Koji Nishida (2075893), Benio Kibushi (3716443), Shota Hagio (3716440)   +4 more
core   +1 more source

Similarity analysis between chromosomes of Homo sapiens and monkeys with correlation coefficient, rank correlation coefficient and cosine similarity measures

Genomics Data, 2016
In this paper, we consider correlation coefficient, rank correlation coefficient and cosine similarity measures for evaluating similarity between Homo sapiens and monkeys.
Chinta Someswara Rao, S. Viswanadha Raju
doaj   +1 more source

Khmer-English Parallel Web Page Extraction Based on Maximum Entropy Model [PDF]

Jisuanji gongcheng, 2016
Because of the isomerism and complexity of parallel pages,how to automatically and effectively get the bilingual parallel pages and how to improve the quality of them are key issues for constructing a parallel corpus.Take example for mining Khmer-English
MO Yuanyuan,PAN Litong,YAN Xin,YU Zhengtao,LIU Xiaohui
doaj   +1 more source

SimilarNet: Pairwise Similarity Comparator Layer for Versatile Comparison

IEEE Access, 2023
In recent years, deep learning has attracted considerable attention owing to its ability to address complex problems in various fields. One notable problem is metric space learning, which is aimed at learning feature embeddings through the calculation of
Chungheon Yi, Ling Liu, Wonik Choi
doaj   +1 more source

A Novel Multi-Attribute Decision-Making Method for Supplier Selection in the Health Care Industry Using Cosine Similarity Measures of Single-Valued Neutrosophic Cubic Hypersoft Sets

IEEE Access
Cosine similarity measures are essential in situations that assess the similarities and differences between two potential outcomes. For different extensions of fuzzy sets, soft sets, and hypersoft sets, a wide range of similarity metrics have been ...
Muhammad Sajid, Khuram Ali Khan, Jaroslav Frnda, Atiqe Ur Rahman   +3 more
doaj   +1 more source

Similarity Identification of Large-scale Biomedical Documents using Cosine Similarity and Parallel Computing

Knowledge Engineering and Data Science, 2022
Document similarity computation is an important research topic in information retrieval, and it is a crucial issue for automatic document categorization.
Merlinda Wibowo, Christoph Quix, Nur Syahela Hussien, Herman Yuliansyah, Faisal Dharma Adhinata   +4 more
doaj   +1 more source

Similarity Coefficient Based on Gradient Deviation for Samples With Data Ranges Over Multiple Orders of Magnitude and Clustered Data Points

Journal of Applied Mathematics
In biomedical sciences, agricultural sciences, and geosciences, similarities are assessed among samples by using their compositional data for various applications.
Yunlai Yang, Zhenzhu Wan
doaj   +1 more source

Perbandingan Cosine Similarity dan Mean Squared Difference dalam Rekomendasi Buku Fiksi berbasis Item

Edumatic
The need for recommendations is increasingly crucial in the digital era, especially with the abundance of fiction book data from e-book platforms and digital libraries.
Lucyta Qutsyaning Rosydah, Triyanna Widiyaningtyas   +1 more
doaj   +1 more source

Penerapan Analisis Sentimen pada Pengguna Twitter Menggunakan Metode K-Nearest Neighbor

JISKA (Jurnal Informatika Sunan Kalijaga), 2018
This research is made to implement the KNN (K-Nearest Neighbor) algorithm for sentiment analysis Twitter about Jakarta Governor Election 2017. The object is 2000 data tweets in Indonesia collected from Twitter during Januari 2017 using Python package ...
Akhmad Deviyanto, Muhammad Didik Rohmad Wahyudi   +1 more
doaj   +1 more source

Adversarial Detection Based on Inner-Class Adjusted Cosine Similarity

Applied Sciences, 2022
Deep neural networks (DNNs) have attracted extensive attention because of their excellent performance in many areas; however, DNNs are vulnerable to adversarial examples.
Dejian Guan, Wentao Zhao 
doaj   +1 more source