Results 101 to 110 of about 493,672 (330)

Nonlinear Process Monitoring Based on Global Preserving Unsupervised Kernel Extreme Learning Machine

IEEE Access, 2019
Recently, the unsupervised extreme learning machine (UELM) technique as a nonlinear data mining approach has been employed to diagnose nonlinear process faults.
Hanyuan Zhang, Xiaogang Deng, Yunchu Zhang, Chuanjing Hou, Chengdong Li, Zheng Xin   +5 more
doaj   +1 more source

Partially integrable systems in multidimensions by a variant of the dressing method. 1

, 2006
In this paper we construct nonlinear partial differential equations in more than 3 independent variables, possessing a manifold of analytic solutions with high, but not full, dimensionality. For this reason we call them ``partially integrable''.
A I Zenchuk, Ablowitz M J, Ablowitz M J, Beals R Coifman R R, Bogdanov L V, Calogero F, Drinfeld V G, Konopelchenko B, Manakov S V Santini P M, P M Santini, Zakharov V E, Zakharov V E, Zakharov V E, Zakharov V E, Zakharov V E, Zakharov V E, Zenchuk A   +16 more
core   +1 more source

An Inkjet‐Printed Platinum‐Based Temperature Sensing Element on Polyimide Substrates

Advanced Engineering Materials, EarlyView.
An inkjet‐printed, meander‐structured, nanoparticle platinum‐based resistive temperature sensors on polyimide substrates are demonstrated as proof‐of‐concept. Optimized sintering at 250°C enables stable conductive structures. The Pt100‐ and Pt1000‐type sensors exhibit linear resistance–temperature characteristics with stable TCR in the 20°C–80°C range,
Shawon Alam, Thomas Kister, Alexander Scholz, Sophie Sauva, Makara Lay, Tobias Kraus, Jasmin Aghassi‐Hagmann   +6 more
wiley   +1 more source

Non-Linear Dimensionality Reduction and Gaussian Process Based Classification Method for Smoke Detection

IEEE Access, 2017
To improve smoke detection accuracy, we combine local binary pattern (LBP) like features, kernel principal component analysis (KPCA), and Gaussian process regression (GPR) to propose a novel data processing pipeline for smoke detection.
Feiniu Yuan, Xue Xia, Jinting Shi, Hongdi Li, Gang Li   +4 more
doaj   +1 more source

Spline Embedding for Nonlinear Dimensionality Reduction [PDF]

, 2006
This paper presents a new algorithm for nonlinear dimensionality reduction (NLDR). Smoothing splines are used to map the locally-coordinatized data points into a single global coordinate system of lower dimensionality. In this work setting, we can achieve two goals.
Shiming Xiang, Feiping Nie, Changshui Zhang, Chunxia Zhang   +3 more
openaire   +1 more source

Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance

Advanced Engineering Materials, EarlyView.
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De, Giovanni Meli, Meysam Khalighian, Anahita Emami   +3 more
wiley   +1 more source

Maximum Discriminant Difference Criterion for Dimensionality Reduction of Tensor Data

IEEE Access, 2020
Discriminant analysis is an important tool in machine learning. One of the motivations of this paper is to judge whether a dataset is suitable for discriminant analysis.
Xinya Peng, Zhengming Ma, Haowei Xu
doaj   +1 more source

Screen‐Printed Flexible Piezoelectric Force Sensor Array with Electromagnetic Interference Shielding

Advanced Engineering Materials, EarlyView.
This article introduces a flexible screen‐printed piezoelectric sensor array designed for low‐frequency healthcare applications such as tactile sensing and cardiovascular monitoring. The device integrates interface electronics enabling the simultaneous acquisition of up to 128 signals, along with flexible EMI shielding that significantly reduces noise ...
Joseph Faudou, Mohammed Benwadih, Arnaud Gabas, Lina Kadura, Minh‐Quyen Le, Daniel Grinberg, Pierre‐Jean Cottinet   +6 more
wiley   +1 more source

Kernel Based Nonlinear Dimensionality Reduction and Classification for Genomic Microarray

Sensors, 2008
Genomic microarrays are powerful research tools in bioinformatics and modern medicinal research because they enable massively-parallel assays and simultaneous monitoring of thousands of gene expression of biological samples.
Lan Shu, Xuehua Li
doaj  

Nonlinear dimensionality reduction based visualization of single-cell RNA sequencing data

Journal of Analytical Science and Technology
Single-cell multi-omics technology has catalyzed a transformative shift in contemporary cell biology, illuminating the nuanced relationship between genotype and phenotype.
Mohamed Yousuff, Rajasekhara Babu, Anand Rathinam   +2 more
doaj   +1 more source