Results 141 to 150 of about 74,247 (264)

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

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

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

A hybrid stacked autoencoder and support vector machines-based expert system for heart failure detection. [PDF]

Sci Rep
Kamal MM, Khan W, Shambour QY, Gafar MA, Alarifi A, Sheraz M, Chuah TC.   +6 more
europepmc   +1 more source

SVM-DO: identification of tumor-discriminating mRNA signatures via support vector machines supported by Disease Ontology. [PDF]

Turk J Biol, 2023
Özer ME, Özbek Sarica P, Arğa KY.
europepmc   +1 more source

Electrically Coded Retinomorphic Spectrophotodetector

Advanced Materials, EarlyView.
Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley   +1 more source

Transfer learning models for bacterial strain dissemination biomarkers using weighted non-parallel proximal support vector machines. [PDF]

BMC Bioinformatics
Ugwu UO, Slayden RA, Kirby M.
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

Reversible Hydration Tuning of Polar Order and Large Nonlinear Optical Response in a 2D van der Waals Crystal, LiInP2S6

Advanced Materials, EarlyView.
Hydration‐induced symmetry breaking transforms layered LiInP2S6${\rm LiInP}_2{\rm S}_6$ from a nonpolar to a chiral‐polar phase, producing a giant enhancement of non‐resonant second‐harmonic generation. The reversible tuning of polar order through molecular intercalation establishes a strategy for dynamically controlling nonlinear optical ...
Jadupati Nag, Saugata Sarker, Michael J. Waters, Safdar Imam, Himirkanti Sarkar, Anthony Richardella, James M. Rondinelli, Mercouri G. Kanatzidis, Venkatraman Gopalan   +8 more
wiley   +1 more source

Support vector machines predict postoperative memory outcomes in temporal lobe epilepsies. [PDF]

Epilepsia Open
Ethofer S, Erb M, Milian M, Rona S, Lerche H, Honegger J, Ethofer T.   +6 more
europepmc   +1 more source