Results 91 to 100 of about 1,011,171 (338)

Support vector machine-based classification of schizophrenia patients and healthy controls using structural magnetic resonance imaging from two independent sites.

PLoS ONE, 2020
Structural brain alterations have been repeatedly reported in schizophrenia; however, the pathophysiology of its alterations remains unclear. Multivariate pattern recognition analysis such as support vector machines can classify patients and healthy ...
Maeri Yamamoto, Epifanio Bagarinao, Itaru Kushima, Tsutomu Takahashi, Daiki Sasabayashi, Toshiya Inada, Michio Suzuki, Tetsuya Iidaka, Norio Ozaki   +8 more
doaj   +1 more source

Fabrication‐Directed Entanglement for Designing Chiral and Anisotropic Metamaterial Foams

Advanced Engineering Materials, EarlyView.
This work introduces fabrication‐directed entanglement (FDE), combining viscous thread printing and topology optimization to program entangled foams with spatially patterned stiffness. By tuning coil density, FDE enables anisotropy, programmable Poisson's ratio, and chirality in foams.
Daniel Revier, Brett Emery, Jacob Miske, Jeffrey Lipton   +3 more
wiley   +1 more source

Variational quantum support vector machine based on $$\Gamma $$ matrix expansion and variational universal-quantum-state generator [PDF]

, 2022
Motohiko Ezawa
openalex   +1 more source

Additive Manufacturing of Hot Work Tool Steel by Laser Powder Bed Fusion Utilizing Powder Mixtures Including Grinding Chips: Assessing Chemical Homogeneity and Achievable Hardness

Advanced Engineering Materials, EarlyView.
Grinding chips of high‐alloyed steel are prepared to be admixed to a starting powder mixture for laser powder bed fusion. A three‐stage preparation is performed, including washing in acetone, magnetic separation, and ball milling. The addition of 30% of grinding chips to the powder mixture allows the fabrication of dense samples.
Felix Großwendt, Chengsong Cui, Jonathan Lentz, Rainer Fechte‐Heinen, Sebastian Weber   +4 more
wiley   +1 more source

Septicemic Melioidosis Detection Using Support Vector Machine with Five Immune Cell Types [PDF]

, 2021
Ke Xu, Fang Lian, Yunfan Quan, Jun Liu, Yin Li, Xuexia Li, Shen Tian, Hua Pei, Qianfeng Xia   +8 more
openalex   +1 more source

Regression depth and support vector machine [PDF]

The regression depth method (RDM) proposed by Rousseeuw and Hubert [RH99] plays an important role in the area of robust regression for a continuous response variable.
Christmann, Andreas
core  

Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
This study reports a design strategy for generating bright‐field resolvable physically unclonable functions with extremely rich encoding capacity coupled with outstanding thermal and chemical stability. The optical response emerges from thickness‐dependent structural color formation in ZnO features, which are fabricated by physical vapor deposition ...
Abidin Esidir, Miaoning Ren, Sami Pekdemir, Mustafa Kalay, Nilgun Kayaci, Nail Gunaltay, Hakan Usta, Xian Huang, Mustafa Serdar Onses   +8 more
wiley   +1 more source

LINEX Support Vector Machine for Large-Scale Classification

IEEE Access, 2019
Traditional soft margin support vector machine usually uses hinge loss to build a classifier with the “maximum-margin” principle. However, C-SVM depends on support vectors causing the loss of data information.
Yue Ma, Qin Zhang, Dewei Li, Yingjie Tian   +3 more
doaj   +1 more source

Influence of Layering and Curie Temperature Uncertainty on the Performance of Multilayer Active Magnetic Regenerators

Advanced Functional Materials, EarlyView.
This study examines how manufacturing uncertainties in Curie temperatures (1.5–2°C) affect multilayer active magnetic regenerators (AMR). While increasing the number of magnetocaloric layers boosts cooling power, performance degrades due to temperature variations.
Urban Tomc, Guilherme F. Peixer, Christian R. H. Bahl, Kaspar K. Nielsen, Jaime A. Lozano, Jader R. Barbosa, A. Kitanovski   +6 more
wiley   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source