Results 101 to 110 of about 541,400 (289)

Tensioned Multi-View Ordered Kernel Subspace Clustering

Applied Sciences
Multi-view data improve the effectiveness of clustering tasks, but they often encounter complex noise and corruption. The missing view of the multi-view samples leads to serious degradation of the clustering model’s performance.
Liping Chen, Gongde Guo
doaj   +1 more source

Subspace clustering with dense representations

2013 IEEE International Conference on Acoustics, Speech and Signal Processing, 2013
2013 IEEE International Conference on Acoustics, Speech and Signal ...
Dyer, Eva L., Studer, Christoph; id_orcid0000-0001-8950-6267, Baraniuk, Richard G.   +2 more
openaire   +2 more sources

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Accelerating Materials Discovery: A Review of Machine Learning in X‐Ray Absorption Spectroscopy

Advanced Intelligent Systems, EarlyView.
This review systematically details how machine learning transforms X‐ray absorption spectroscopy (XAS) analysis. It covers advanced deep learning architectures for structure‐spectra mapping and inverse tasks, while discussing key challenges like the simulation‐to‐reality gap.
Melaku Lake Tegegne, Haodong Yao, Liyuan Wu, Yihe Pang, Fazhi Qi, Lina Zhao   +5 more
wiley   +1 more source

Principal Component‐Based Classification of Blazar Candidates of Uncertain Type in the 4FGL/LAT

Astronomische Nachrichten, EarlyView.
ABSTRACT We adopted principal component analysis (PCA), linear discriminant analysis (LDA), and support vector machines (SVM), to study classification for a sample of 2708 Fermi blazars: 1142 BL Lac objects (BLLs), 759 flat spectrum radio quasars (FSRQs), and 807 blazar candidates of uncertain type (BCUs).
Wen‐Xin Yang, Guo‐Hai Chen, Jing‐Tian Zhu, Hong‐Guang Wang, Denis Bastieri, Xu‐Hong Ye, Jing‐Chao Liang, De‐Xiang Wu, Jiang‐He Yang, Anton A. Strigachev, Rumen S. Bachev, Jun‐Jie Feng, Yi Liu, Jun‐Hui Fan   +13 more
wiley   +1 more source

Low-Rank Tensor Thresholding Ridge Regression

IEEE Access, 2019
In the area of subspace clustering, methods combining self-representation and spectral clustering are predominant in recent years. For dealing with tensor data, most existing methods vectorize them into vectors and lose most of the spatial information ...
Kailing Guo, Tong Zhang, Xiangmin Xu, Xiaofen Xing   +3 more
doaj   +1 more source

Endohedral fullerenes as qubits: From synthesis to quantum computing applications

InfoMat, EarlyView.
Endohedral fullerenes emerge as promising platforms for qubits and qudits. This review surveys the primary synthesis routes, from arc‐discharge to high‐yield molecular surgery. It then details spin manipulation and readout in key systems, including metal‐based, cluster, and nitrogen‐containing fullerenes.
Jeong‐Seok Nam, Jiye Han, Jin‐Myung Choi, Franklin H. Cho, Daniel K. Park, Seunghee Park, Yoshifumi Hashikawa, Yasujiro Murata, Eunsang Kwon, Dong‐Hwan Kim, Junki Kim, Il Jeon   +11 more
wiley   +1 more source

Sensory and chemical profiles of bread derived from the novel semi‐ and wholegrain flour enrichment of Triticum aestivum L. old genotypes with organic stinging nettle

JSFA reports, Volume 5, Issue 3, Page 104-112, March 2025.
Abstract Background Bread made from refined Triticum aestivum L. flour, a staple food in large parts of the world, is considered a nutrient security risk. Strategies used to enhance the nutritional and functional properties of wheat‐derived food products include the use of semi‐ or wholegrain flour, old genotypes, and enrichment through fortification ...
Ilaria Marotti, Elettra Frassineti, Mattia Alpi, Giovanni Dinelli   +3 more
wiley   +1 more source

Dimensionality-reduced subspace clustering [PDF]

, 2021
Subspace clustering refers to the problem of clustering unlabeled high-dimensional data points into a union of low-dimensional linear subspaces, whose number, orientations and dimensions are all unknown. In practice, one may have access to dimensionality-
Bölcskei, Helmut, Heckel, Reinhard, Tschannen, Michael   +2 more
core  

Health risk assessment of heavy metal accumulation in fruits exposed to geothermal waters: a case study and global implications

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study investigated the potential health risks of heavy metals (HMs) in the fruits and leaves of mulberry and sour cherry trees exposed to water from Sivas geothermal basin (Turkey). RESULTS The target HMs were ranked according to their hazard index as: Cd < Pb < Zn < Cu < Ni < Mn < Cr. The total hazard index for mulberry
E Işıl Arslan Topal, Murat Topal, Erdal Çelik, Erdal Öbek   +3 more
wiley   +1 more source