Results 1 to 10 of about 132,485,236 (247)

Low-rank matrix approximations over canonical subspaces [PDF]

Journal of Numerical Analysis and Approximation Theory, 2020
In this paper we derive closed form expressions for the nearest rank-\(k\) matrix on canonical subspaces.    We start by studying three kinds of subspaces.  Let \(X\) and \(Y\) be a pair of given matrices. The first subspace contains all the \(m\times
Achiya Dax
doaj   +9 more sources

Task geometry alignment enables parameter independent and accurate genomic search [PDF]

Scientific Reports
Standard sequence alignment models biological homology through the metric space of edit distance. While effective for global orthology, this rigid geometric assumption struggles with discrete biological realities–such as insertions/deletions (indels) and
Justin Boone
doaj   +2 more sources

pyDRMetrics - A Python toolkit for dimensionality reduction quality assessment

Heliyon, 2021
High-dimensional data are pervasive in this bigdata era. To avoid the curse of the dimensionality problem, various dimensionality reduction (DR) algorithms have been proposed.
Yinsheng Zhang, Qian Shang, Guoming Zhang   +2 more
doaj   +1 more source

FRA-Based Parameter Estimation for Fault Diagnosis of Three-Phase Voltage-Source Inverters

IEEE Access, 2023
This paper presents a fault detection and location identification method for single and double switch Open Circuit Fault (OCF) in three phase voltage source inverters (VSIs) based on current model parameter estimation.
Yu Luo, Li Zhang, Chunyang Chen, Kang Li, Tianjian Yu, Kaidi Li   +5 more
doaj   +1 more source

A comparative study of Machine Learning-based classification of Tomato fungal diseases: Application of GLCM texture features

Heliyon, 2023
Globally, agriculture remains an important source of food and economic development. Due to various plant diseases, farmers continue to suffer huge yield losses in both quality and quantity.
Chimango Nyasulu, Awa Diattara, Assitan Traore, Cheikh Ba, Papa Madiallacké Diedhiou, Yakhya Sy, Hind Raki, Diego Hernán Peluffo-Ordóñez   +7 more
doaj   +1 more source

Modeling and Control of Modular Multilevel Matrix Converter for Low-Frequency AC Transmission

Energies, 2023
The modular multilevel matrix converter (M3C) is the core component in low-frequency AC (LFAC) transmission, which is a competitive scheme for offshore wind power integration.
Zheren Zhang, Yanqiu Jin, Zheng Xu
doaj   +1 more source

ITRPCA: a new model for computational drug repositioning based on improved tensor robust principal component analysis

Frontiers in Genetics, 2023
Background: Drug repositioning is considered a promising drug development strategy with the goal of discovering new uses for existing drugs. Compared with the experimental screening for drug discovery, computational drug repositioning offers lower cost ...
Mengyun Yang, Mengyun Yang, Bin Yang, Guihua Duan, Jianxin Wang   +4 more
doaj   +1 more source

Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes

Jurnal Teknologi Informasi dan Ilmu Komputer, 2023
Aplikasi berbasis Android banyak dikembangkan dan tersedia secara bebas di berbagai sumber aplikasi karena sistem operasi Android yang bersifat open-source.
R. Ahmad Imanullah Zakariya, Kalamullah Ramli   +1 more
doaj   +3 more sources

Single-Sample Face Recognition Based on LPP Feature Transfer

IEEE Access, 2016
Due to its wide applications in practice, face recognition has been an active research topic. With the availability of adequate training samples, many machine learning methods could yield high face recognition accuracy. However, under the circumstance of
Jie Pan, Xue-Song Wang, Yu-Hu Cheng
doaj   +1 more source

An evaluation of machine learning and latent semantic analysis in text sentiment classification

Technical Transactions, 2020
In this paper, we compare the following machine learning methods as classifiers for sentiment analysis: k – nearest neighbours (kNN), artificial neural network (ANN), support vector machine (SVM), random forest.
Miazga Justyna, Hachaj Tomasz
doaj   +1 more source