Results 91 to 100 of about 214,138 (256)

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source

Non-destructive acoustic screening of pineapple ripeness by unsupervised machine learning and Wavelet Kernel methods. [PDF]

Sci Prog, 2021
Chen YJ, Liou YC, Ho WH, Tsai JT, Liu CC, Hwang KS.   +5 more
europepmc   +1 more source

Analog Tensor Processing With Carbon Nanotube In‐Memory Matrix Multiplications for Edge Computer Vision Acceleration

Advanced Materials, EarlyView.
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei, Lekai Song, Songwei Liu, Yingyi Wen, Yaoqiang Zhou, Yang Liu, Pengyu Liu, Wenyu Cui, Xin Lu, Teng Ma, Zegao Wang, Guohua Hu   +11 more
wiley   +1 more source

Nanoporous Silica Embedded in Nanoporous Platinum: A Versatile Composite Coating for Implant‐Associated Drug Delivery From Neuronal Electrodes

Advanced Materials Technologies, EarlyView.
Nanoporous silica nanoparticles incorporated in nanoporous platinum offer the possibility for implant‐associated drug delivery from neuronal electrodes. ABSTRACT Sensorineural hearing loss, resulting from damage to the hair cells of the inner ear, profoundly impairs quality of life.
Mosaieb Habib, Tim‐Joshua Strauß, Jennifer Harre, Madeleine Goblet, Florian Klodwig‐Kirstein, Jana Schwieger, Michaela Kreienmeyer, Verena Scheper, Athanasia Warnecke, Nina Ehlert, Peter Behrens   +10 more
wiley   +1 more source

Kernel Method

Citation: 'kernel method' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11460 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
Kenichiro Ishii, Naonori Ueda, Eisaku Maeda, Hiroshi Murase   +3 more
  +4 more sources

Large‐Scale and Cost‐Effective Fabrication of Ultra‐Thin, Biodegradable Microelectrode Arrays and Pressure Sensors Using Laser Micromachining

Advanced Materials Technologies, EarlyView.
A mask‐free and cost‐effective UV‐pico‐second laser‐based microfabrication method is proposed to fabricate large‐area biodegradable microelectrode arrays and pressure sensors. These devices demonstrate low impedance, good conformability, excellent biocompatibility, and rapid degradation, providing a new route for next‐generation transient electronics ...
Bhavani Prasad Yalagala, Asfand Tanwear, María Cerezo‐Sánchez, Hossein Parvizi, Morteza Amjadi, Hadi Heidari   +5 more
wiley   +1 more source

Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data

Mathematics
We address the challenging application of 3D pore scale reactive flow under varying geometry parameters. The task is to predict time-dependent integral quantities, i.e., breakthrough curves, from the given geometries.
Robin Herkert, Patrick Buchfink, Tizian Wenzel, Bernard Haasdonk, Pavel Toktaliev, Oleg Iliev   +5 more
doaj   +1 more source

Associating Multivariate Traits with Genetic Variants Using Collapsing and Kernel Methods with Pedigree- or Population-Based Studies. [PDF]

Comput Math Methods Med, 2021
Chien LC.
europepmc   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

Interpretable feature interaction via statistical self-supervised learning on tabular data

Machine Learning: Science and Technology
In high-stakes scientific contexts, explainable AI is crucial for deriving meaningful insights from complex tabular data. A formidable challenge is ensuring both rigorous statistical guarantees and clear interpretability in feature extraction.
Xiaochen Zhang, Haoyi Xiong
doaj   +1 more source