Zobrazeno 1 - 10
of 10 955
pro vyhledávání: '"Non-Negative Matrix Factorization"'
Publikováno v:
Proceedings on Engineering Sciences, Vol 6, Pp 1889-1896 (2024)
Technologies like self-driving cars and cleaning robots are emerging as mainstream technologies. These technologies make use of cognitive recognition. Non-negative matrix factorization (NMF) is one such technique that is popularly used for computer v
Externí odkaz:
https://doaj.org/article/fabc3e7a6c024e82adb7b0ccdaf50d71
Publikováno v:
Journal of Men's Health, Vol 20, Iss 10, Pp 101-110 (2024)
Static stretching (SS) may reduce maximal muscle force and power output, while short-duration, high-intensity conditioning contractions (CC) have the potential to increase force and power output. However, the precise effects of CC on athletic perform
Externí odkaz:
https://doaj.org/article/039cfa14146b4d99a8797639cdbe464b
Autor:
Masaki Imamura, Kazutoshi Takahashi
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract This study proposed an unsupervised machine-learning approach for analyzing spatially-resolved ARPES. A combination of non-negative matrix factorization (NMF) and k-means clustering was applied to spatially-resolved ARPES spectra of the grap
Externí odkaz:
https://doaj.org/article/6aba683e6d7f4b2099e5d4f4e0b9d197
Publikováno v:
Discover Oncology, Vol 15, Iss 1, Pp 1-25 (2024)
Abstract Background The aim of this study was to elucidate the critical role of autophagy-related gene aggregation in gastric cancer tumor microenvironment cells and to investigate their major roles in cellular functions. In particular, the expressio
Externí odkaz:
https://doaj.org/article/2e6173fcf7bb49f9aa6bc3af3a844fe7
Publikováno v:
Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2750-2761 (2024)
Multi-view clustering algorithm based on graph learning has been widely concerned in recent years because of its simplicity and high efficiency. Most of multi-view clustering algorithms only consider the consistent part of each view and ignore the di
Externí odkaz:
https://doaj.org/article/5cb2ad212c6a48dcae5b00d38c10c47d
Autor:
Qian Ding, Wenyi Yang, Guangfu Xue, Hongxin Liu, Yideng Cai, Jinhao Que, Xiyun Jin, Meng Luo, Fenglan Pang, Yuexin Yang, Yi Lin, Yusong Liu, Haoxiu Sun, Renjie Tan, Pingping Wang, Zhaochun Xu, Qinghua Jiang
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-36 (2024)
Abstract Advances in single-cell transcriptomics provide an unprecedented opportunity to explore complex biological processes. However, computational methods for analyzing single-cell transcriptomics still have room for improvement especially in dime
Externí odkaz:
https://doaj.org/article/1acf3ecb89144f69bb113bc2a6df2a95
Autor:
Kentaro Kutsukake, Takefumi Kamioka, Kota Matsui, Ichiro Takeuchi, Takashi Segi, Takuo Sasaki, Seiji Fujikawa, Masamitu Takahasi
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 4, Iss 1 (2024)
We analyzed a number of complicated X-ray diffraction patterns using feature patterns obtained through unsupervised machine learning. A crystalline SiGe film on a Si substrate with a spatial fluctuation in both composition and crystal orientation was
Externí odkaz:
https://doaj.org/article/c5fd43a7b7414262a9bc15bb30fbf8c3
Publikováno v:
Fundamental Research, Vol 4, Iss 4, Pp 738-751 (2024)
Childhood asthma is one of the most common respiratory diseases with rising mortality and morbidity. The multi-omics data is providing a new chance to explore collaborative biomarkers and corresponding diagnostic models of childhood asthma. To captur
Externí odkaz:
https://doaj.org/article/199d9a81703d4066848228cc3669877a
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The molecular categorization of colon cancer patients remains elusive. Gene set enrichment analysis (GSEA), which investigates the dysregulated genes among tumor and normal samples, has revealed the pivotal role of epithelial-to-mesenchymal
Externí odkaz:
https://doaj.org/article/0ab902c7c2ba40cc927559f41df95b36