Results 161 to 170 of about 469,122 (324)

Regularized Jacobi Wavelets Kernel for Support Vector Machines

, 2019
Alya Nadira, Abdessamad Amir, S. M. Bahri   +2 more
openalex   +2 more sources

A Wavelet-based Profile Classification using Support Vector Machine [PDF]

, 2008
Seong-Jun Kim
openalex   +1 more source

Giving It a Twist: One‐Step Fabrication of Aligned Biomimetic Yarn Scaffolds via Rotational Melt Electrofibrillation

Advanced Healthcare Materials, EarlyView.
Due to its multifunctionality, replicating the fibrillar and supramolecular architecture of Collagen I is gaining increasing priority in regenerative medicine. Using rotational Melt Electrofibrillation, we present a powerful method to accurately mimic the ultrastructure of Collagen with polycaprolactone, enabling the one‐step fabrication of three ...
Zan Lamberger, Vivien Priebe, Philipp Stahlhut, Kristina Andelovic, Girish Pattappa, Denitsa Docheva, Sven Heilig, Heike M. Hermanns, Taufiq Ahmad, Jürgen Groll, Gregor Lang, Matthias Ryma   +11 more
wiley   +1 more source

PET-TURTLE: Deep Unsupervised Support Vector Machines for Imbalanced Data Clusters. [PDF]

IEEE Signal Process Lett
Salazar Cavazos J.
europepmc   +1 more source

Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines. [PDF]

Nat Commun, 2023
Jäger J, Krems RV.
europepmc   +1 more source

Image Classification of Grapevine Buds using Scale-Invariant Features Transform, Bag of Features and Support Vector Machines [PDF]

, 2016
D. Pérez, Facundo Bromberg, Carlos Ariel Díaz   +2 more
openalex   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

Advanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha, Arpit Agarwal, Catherine Li, Austin Williams, Dinesh K. Patel, Sankalp Chopkar, Achu Wilson, Ahmet Ozkan, Wenzhen Yuan, Sonal Choudhary, Arash Mostaghimi, Zackory Erickson, Carmel Majidi   +12 more
wiley   +1 more source

Support vector machines and kernels for computational biology. [PDF]

PLoS Computational Biology, 2008
Asa Ben-Hur, Cheng Soon Ong, Sören Sonnenburg, Bernhard Schölkopf, Gunnar Rätsch   +4 more
doaj   +1 more source

Driver Fatigue Detection using EEG Microstate Features and Support Vector Machines. [PDF]

J Biomed Phys Eng
Yaddasht Z, Kazemi K, Danyali H, Aarabi A.   +3 more
europepmc   +1 more source

Optimizing support vector machines and autoregressive integrated moving average methods for heart rate variability data correction. [PDF]

MethodsX, 2023
Svane J, Wiktorski T, Ørn S, Eftestøl TC.   +3 more
europepmc   +1 more source