Results 181 to 190 of about 350,996 (311)

Parallelizing support vector machines for scalable image annotation

, 2011
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Machine learning techniques have facilitated image retrieval by automatically classifying and annotating images with keywords.
Alham, Nasullah Khalid
core  

Self‐Powered Flexible Triboelectric‐Gated Ion‐Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition

Advanced Materials, EarlyView.
A fully flexible ion‐gel‐gated graphene‐channel transistor driven by a triboelectric nanogenerator enables self‐powered tactile sensing and synaptic learning. Mimicking spike‐rate‐dependent plasticity, the device exhibits frequency‐selective potentiation and depression, supporting rate‐coded neuromorphic computation even under flex.
Hanseong Cho, Seoyeon Park, Youngmin Lee, Sejoon Lee   +3 more
wiley   +1 more source

IoT-enabled hybrid Slime Mould Algorithm-Support Vector Machine model for early detection of cardiovascular diseases. [PDF]

Sci Rep
Venkatesan C, Alshalali TAN, Sivakumar V, Balamurugan D, Manjunath R, Arun Francis G.   +5 more
europepmc   +1 more source

Machine performance degradation assessment and remaining useful life prediction using proportional hazard model and SVM

This paper proposes a three-stage method involved system identification techniques, proportional hazard model, and support vector machine for assessing the machine health degradation and forecasting the machine remaining useful life (RUL).
Tran, Van Tung
core  

All‐Optical Reconfigurable Physical Unclonable Function for Sustainable Security

Advanced Materials, EarlyView.
An all‐optical reconfigurable physical unclonable function (PUF) is demonstrated using plasmonic coupling–induced sintering of optically trapped gold nanoparticles, where Brownian motion serves as a robust entropy source. The resulting optical PUF exhibits high encoding density, strong resistance to modeling attacks, and practical authentication ...
Jang‐Kyun Kwak, Changgyun Moon, Hyun‐Bin Yu, Sunkook Kim, Dong‐Hwan Kim   +4 more
wiley   +1 more source

Preference learning models based on fuzzy support vector machine

四川大学学报. 自然科学版
Traditional preference learning models cannot deal with uncertain data， while the fuzzy support vector machine can overcome the influence of uncertain data on learning effects.This paper studies the preference learning models based on the fuzzy support ...
LIAO Huchang, LIAO Zhiqiang
doaj  

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

Chunking for Massive Nonlinear Kernel Classification

, 2006
A chunking procedure [2] utilized in [18] for linear classifiers is proposed here for nonlinear kernel classification of massive datasets. A highly accurate algorithm based on nonlinear support vector machines that utilizes a linear programming ...
Mangasarian, Olvi, Thompson, Michael
core  

Inverse Design of Amorphous Materials With Targeted Properties

Advanced Materials, EarlyView.
AMDEN is a diffusion model framework for the inverse design of amorphous materials with targeted properties. By incorporating Hamiltonian Monte Carlo refinement into the denoising process, the framework overcomes the challenge of generating thermally relaxed disordered structures.
Jonas A. Finkler, Yan Lin, Tao Du, Jilin Hu, Morten M. Smedskjaer   +4 more
wiley   +1 more source

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

Front Artif Intell
Pena-Campos J, Patino D, Ocampo-Martinez C, Ramos-Fernández JC, Salas-Brown M, Caicedo A.   +5 more
europepmc   +1 more source