Results 71 to 80 of about 194,949 (275)
Enhancing Bubble Removal in Geometry‐Optimized Electrodes
Advanced Engineering Materials, EarlyView.3D‐printed lattice electrodes outperform stochastic foams in alkaline water electrolysis despite 20%–25% lower surface area. Straight flow channels generate Venturi‐like bubble entrainment, suppressing gas accumulation that renders foam interiors electrochemically inactive.
Florian Wiesner +5 more
wiley +1 more source
Reconocimiento de expresiones faciales utilizando análisis de componentes principales Kernel (KPCA) [PDF]
, 2008 Este artículo presenta una metodología para el reconocimiento de expresiones faciales con análisis de componentes principales kernel, la base de datos utilizada es la Carnegie Mellon University como herramienta de prueba.
Fetecua Valencia, Juan Gabriel +2 more
core
Consumed by Abdominal Distention
Arthritis Care &Research, EarlyView.
Abimbola Fadairo‐Azinge +3 more
wiley +1 more source
Advanced Engineering Materials, EarlyView.Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran +6 more
wiley +1 more source
Sparse Kernel Principal Component Analysis via Sequential Approach for Nonlinear Process Monitoring
IEEE Access, 2019 Kernel principal component analysis (KPCA) has been widely used for nonlinear process monitoring. However, since the principal components are linear combinations of all kernel functions, traditional KPCA suffers from poor interpretation and high ...
Lingling Guo +3 more
doaj +1 more source
Advanced Functional Materials, Volume 36, Issue 43, 29 May 2026.The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner +4 more
wiley +1 more source
Light‐Actuated Fiber‐Climbing Inchworm Robot Toward Endoluminal Navigation
Advanced Functional Materials, EarlyView.A kirigami‐inspired soft inchworm robot harnesses optical energy from a customized side‐emitting optical fiber, guaranteeing its propulsion along the fiber body. The wavelength‐selective responsiveness of dye‐functionalized liquid crystal elastomers and the application of temporal illumination patterns enable sequential control of robot components. The
Antonio Lobosco +6 more
wiley +1 more source
Research on indoor localization algorithm based on kernel principal component analysis
Tongxin xuebao, 2017 An indoor localization algorithm based on kernel principal component analysis (KPCA) was proposed.It applied KPCA to train the original location fingerprint (OLF) and extract the nonlinear feature of the OLF data at the offline stage,such that the ...
Hua-liang LI +2 more
doaj +2 more sources
On Software Defect Prediction Using Machine Learning
Journal of Applied Mathematics, 2014 This paper mainly deals with how kernel method can be used for software defect prediction, since the class imbalance can greatly reduce the performance of defect prediction.
Jinsheng Ren +3 more
doaj +1 more source
Advanced Healthcare Materials, EarlyView.This review examines how in vitro electrical and mechanical stimulation modulates wound healing in fibroblasts and keratinocytes. Analyzing over 560 experimental data points, we relate stimulation parameters to proliferation and migration outcomes, evaluate platform designs, and highlight the need for multi‐parameter optimization to advance targeted ...
Matthew K. Burgess +3 more
wiley +1 more source