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Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics

Advanced Materials, EarlyView.
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source

Support vector machine algorithm-based wearable device in sports rehabilitation training for people with disabilities. [PDF]

Sci Rep
Xiong Q, Gui L, Shu C.
europepmc +1 more source

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source

Retrieving interpretability to support vector machine regression models in dynamic system identification. [PDF]

Front Artif Intell
Pena-Campos J +5 more
europepmc +1 more source

Superior Impact‐Resistant Composite Hydrogels Through an Ionic Coupling Strategy

Advanced Materials, EarlyView.
An ionic coupling strategy is developed to simultaneously reinforce networks and interfaces in composite hydrogels. Sodium citrate acts as a single multifunctional ionic coupler to strengthen the poly(vinyl alcohol) matrix via the Hofmeister effect, reinforce the chitosan–sodium alginate nanofiber network via desolvation and electrostatic crosslinking,
Hao Zhuo +5 more
wiley +1 more source

Linear Support Vector Machine Model of an IR Spectral Library: Application to Skin Cancer. [PDF]

ACS Omega
Bradley RC +6 more
europepmc +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu +5 more
wiley +1 more source

Support Vector Machines

, 2003
In this report we present an introductory overview of Support Vector Machines (SVMs). SVMs are supervised learning machines that can be analysed theoretically using concepts from computational learning theory while being able to achieve good performance when applied to real-world problems.
Schölkopf, B., Smola, A.
openaire +3 more sources

A Support vector machine-based mixture cure model for mixed case interval censored data. [PDF]

Stat Comput
Pal S, Aselisewine W.
europepmc +1 more source

Plasmonic Nanomachines: Creating Local Potential Gradients and Motions

Advanced Materials, EarlyView.
Plasmonic nanomachines can generate optical, thermal, and chemical potential gradients to drive directional rectilinear, rotational, and twisting motions at the nanometer scale. The integration of multimodal plasmonic forces with functional materials and programmed structural distortions enables precise spatiotemporal actuation, thereby providing a ...
Yoonhee Kim +3 more
wiley +1 more source

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