Results 51 to 60 of about 54,863 (259)

Knowledge Discovery Through Topic Modeling on GoPartner User Reviews Using BERTopic, LDA, and NMF

Journal of Applied Informatics and Computing
Transportation and food delivery services are one of the driving sectors of the digital economy in Indonesia. The e-Conomy SEA 2023 report shows that the transportation and food delivery services sector experienced a decrease in GMV in 2023 by 8% from ...
Metti Detricia Pratiwi, Ken Ditha Tania
doaj   +1 more source

Assessment of nonnegative matrix factorization algorithms for electroencephalography spectral analysis

BioMedical Engineering OnLine, 2020
Background Nonnegative matrix factorization (NMF) has been successfully used for electroencephalography (EEG) spectral analysis. Since NMF was proposed in the 1990s, many adaptive algorithms have been developed.
Guoqiang Hu, Tianyi Zhou, Siwen Luo, Reza Mahini, Jing Xu, Yi Chang, Fengyu Cong   +6 more
doaj   +1 more source

ENDMEMBER EXTRACTION OF HIGHLY MIXED DATA USING L₁ SPARSITY-CONSTRAINED MULTILAYER NONNEGATIVE MATRIX FACTORIZATION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018
Due to the limited spatial resolution of remote hyperspectral sensors, pixels are usually highly mixed in the hyperspectral images. Endmember extraction refers to the process identifying the pure endmember signatures from the mixture, which is an ...
H. Fang, A. H. Li, H. X. Xu, T. Wang, K. Jiang, Y. Z. Su, H. W. Chang   +6 more
doaj   +1 more source

Joint Linear Regression and Nonnegative Matrix Factorization Based on Self-Organized Graph for Image Clustering and Classification

IEEE Access, 2018
Nonnegative matrix factorization (NMF) technique has been developed successfully to represent the intuitively meaningful feature of data. A suitable representation can faithfully preserve the intrinsic structure of data.
Wenjie Zhu, Yunhui Yan
doaj   +1 more source

Gaussian mixture gain priors for regularized nonnegative matrix factorization in single-channel source separation [PDF]

, 2012
We propose a new method to incorporate statistical priors on the solution of the nonnegative matrix factorization (NMF) for single-channel source separation (SCSS) applications.
Erdogan, Hakan, Erdoğan, Hakan, Grais, Emad Mounir   +2 more
core  

Fast Parallel Randomized Algorithm for Nonnegative Matrix Factorization with KL Divergence for Large Sparse Datasets [PDF]

, 2016
Nonnegative Matrix Factorization (NMF) with Kullback-Leibler Divergence (NMF-KL) is one of the most significant NMF problems and equivalent to Probabilistic Latent Semantic Indexing (PLSI), which has been successfully applied in many applications.
Ho, Tu Bao, Nguyen, Duy Khuong
core   +2 more sources

Self‐Regulating Sodium‐Ion Battery Materials: From Phase Reconstruction to Functional Activation

Advanced Materials, EarlyView.
Self‐regulating sodium‐ion batteries hinge on programmable phase behavior in layered oxides, interphases that renew without growth, and electrolytes that steer solvation and chemistry. This review distills mechanisms into design rules that span composition, site and entropy tuning, and self‐buffering anodes, linking operando evidence to choices and ...
Hong Gao, Dingyi Zhang, Chao Wang, Tianxiao Chen, Xingwang Peng, Yuxiu Xing, Xin Guo, Yufei Zhao, Yong Wang, Guoxiu Wang, Hao Liu   +10 more
wiley   +1 more source

Group Sparsity and Graph Regularized Semi-Nonnegative Matrix Factorization with Discriminability for Data Representation

Entropy, 2017
Semi-Nonnegative Matrix Factorization (Semi-NMF), as a variant of NMF, inherits the merit of parts-based representation of NMF and possesses the ability to process mixed sign data, which has attracted extensive attention. However, standard Semi-NMF still
Peng Luo, Jinye Peng
doaj   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

Advanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu, Mengyao Xiao, Zhouli Sui, Yinpeng Wang, Daoye Zheng, Yuxin Liu, Luwei Wang, Huajun Liu, Chengkuo Lee   +8 more
wiley   +1 more source

How can machine learning predict cholera: insights from experiments and design science for action research

Journal of Water and Health
Cholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions.
Hauwa Ahmad Amshi, Rajesh Prasad, Birendra Kumar Sharma, Saratu Ilu Yusuf, Zaharaddeen Sani   +4 more
doaj   +1 more source