Results 131 to 140 of about 259,715 (355)
Spatiotemporal Reservoir Computing with a Reconfigurable Multifunctional Memristor Array
This study presents a hardware physical reservoir computing system using a tri‐modal memristive crossbar array. Stochastic masking, bistable nonlinear activation, and analog readout enable fully in‐memory spatiotemporal processing. Demonstrations on cellular automata, Lorenz prediction, ADHD EEG classification, and chaotic KS modeling highlight its ...
Sungho Kim +10 more
wiley +1 more source
A fractional integral method inverse distance weight-based for denoising depth images
Denoising algorithms for obtaining the effective data of depth images affected by random noise mainly focus on the processing of gray images. These algorithms are not distinct from traditional image-processing methods, and there is no way to evaluate the
Da Xie +5 more
doaj +1 more source
Microseismic monitoring technology is widely used in such fields as mining engineering,petroleum and gas exploitation,and safety monitoring.In order to solve the problem of random noise in microseismic signals collected by microseismic monitoring,a ...
Sun Yuan +4 more
doaj +1 more source
Compared with traditional seismic noise attenuation algorithms that depend on signal models and their corresponding prior assumptions, removing noise with a deep neural network is trained based on a large training set in which the inputs are the raw data sets and the corresponding outputs are the desired clean data.
Siwei Yu, Jianwei Ma, Wenlong Wang
openaire +3 more sources
Smart Sampling Capsule for Capture and Detection of Enteric Pathogens in the Small Intestine
An ingestible smart sampling capsule for capturing asymptomatic enteric pathogens at their primary sites of interaction within the small intestine. This capability enables non‐invasive detection of early pathogen colonization within the gut environment prior to fecal shedding, providing a robust approach for pathogen surveillance and microbiome studies.
Akshay Krishnakumar +6 more
wiley +1 more source
Advances in Optical Techniques for Tumor Detection
Cancer detection is vital for patient survival. Optical technologies overcome conventional cytology's limitations with high sensitivity and molecular specificity. This review highlights five techniques: Raman spectroscopy, fluorescence sensors, fiber optic sensors, photoacoustic imaging, and colorimetric detection for tumor diagnosis via direct ...
Yang Yu +6 more
wiley +1 more source
Although deep learning techniques have made significant advances in the field of images, existing methods still face challenges in processing complex, noisy images.
Yiming Li, Tao Xie, Dongdong Mei
doaj +1 more source
Active Learning and Best-Response Dynamics [PDF]
We examine an important setting for engineered systems in which low-power distributed sensors are each making highly noisy measurements of some unknown target function.
Balcan, Maria-Florina +5 more
core
Dual‐imaging strategy for PAP‐functionalized gold nanoparticles (PAP@Gold NPs) in HeLa cells. Fast screening is achieved via hyperspectral microscopy based on light reflection to track nanoparticle localization. Accurate detection is performed through SERS microscopy, leveraging the plasmonic enhancement of the PAP polymer signal for precise location ...
Marco Giustra +10 more
wiley +1 more source
Under the influence of an electron beam, the photoluminescence (PL) and quantum sensing stability of nitrogen‐vacancy (NV) centers in fluorescent nanodiamonds (FNDs) change. This work elucidates structural and functional changes induced by the electron beam in FNDs and identifies imaging conditions to preserve NV properties and offers a pathway for top‐
Bradley T. Flinn +10 more
wiley +1 more source

