Advanced Functional Materials, EarlyView.Geometric multi‐bit patterning based on dynamic wetting and dewetting phenomena creates roulette‐like Physical Unclonable Function (PUF) labels with stochastic yet deterministic properties. This method leverages the solutal‐Marangoni effect for high randomness while achieving deterministic multinary patterns through polygonal confinement of binary ...
Yeongin Cho +8 more
wiley +1 more source
Support vector machine multiuser receiver for DS-CDMA signals in multipath channels [PDF]
, 2001 Sheng Chen +2 more
openalex +1 more source
Solving and interpreting binary classification problems in marketing with SVMs [PDF]
Marketing problems often involve inary classification of customers into ``buyers'' versus ``non-buyers'' or ``prefers brand A'' versus ``prefers brand B''. These cases require binary classification models such as logistic regression, linear, andquadratic
Bioch, J.C. +2 more
core +1 more source
Structured, Shaped, or Printed Single‐Atom Catalysts and Their Applications
Advanced Functional Materials, EarlyView.This paper reviews the design and use of structured single‐atom catalysts, which integrate porous architectures with the exceptional reactivity of isolated catalytic sites. It explores fabrication strategies, advanced characterization methods, and support materials that enhance thermal stability, mechanical robustness, and operational efficiency of ...
Jiachengjun Luo +4 more
wiley +1 more source
Support vector machine as an efficient tool for high‐dimensional data processing: Application to substorm forecasting [PDF]
, 2001 Valeriy Gavrishchaka, Supriya B. Ganguli
openalex +1 more source
Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks
Advanced Functional Materials, EarlyView.This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly +4 more
wiley +1 more source
Handwritten digit recognition by combining support vector machines using rule-based reasoning [PDF]
, 2001 D. Gorgevik +2 more
openalex +1 more source
Active Learning‐Driven Discovery of Sub‐2 Nm High‐Entropy Nanocatalysts for Alkaline Water Splitting
Advanced Functional Materials, EarlyView.High‐entropy nanoparticles (HENPs) hold great promise for electrocatalysis, yet optimizing their compositions remains challenging. This study employs active learning and Bayesian Optimization to accelerate the discovery of octonary HENPs for hydrogen and oxygen evolution reactions.
Sakthivel Perumal +5 more
wiley +1 more source
Karyotyping of comparative genomic hybridization human metaphases by using support vector machines [PDF]
, 2001 Zhenzhen Kou, Liang Ji, Xuegong Zhang
openalex +1 more source
Predicting Bankruptcy with Support Vector Machines [PDF]
The purpose of this work is to introduce one of the most promising among recently developed statistical techniques – the support vector machine (SVM) – to corporate bankruptcy analysis.
Dorothea Schäfer +2 more
core