Results 41 to 50 of about 92,198 (268)
Computational Multiscale Methods for Linear Poroelasticity with High Contrast [PDF]
, 2018 In this work, we employ the Constraint Energy Minimizing Generalized Multiscale Finite Element Method (CEM-GMsFEM) to solve the problem of linear heterogeneous poroelasticity with coefficients of high contrast.
Altmann, Robert +5 more
core +2 more sources
Angewandte Chemie, EarlyView.Parallel mass spectrometry imaging acquires high mass resolution and tandem mass spectrometry images from 108 isolation windows in a single run. Spatial similarity networking clusters product ions by spatial distribution, enabling annotation of isomers and isobars as demonstrated for phospholipids and oxidized cholesterol in mouse and human brain ...
Varun V. Sharma +5 more
wiley +2 more sources
Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics [PDF]
, 2011 We study a new image sensor that is reminiscent of traditional photographic film. Each pixel in the sensor has a binary response, giving only a one-bit quantized measurement of the local light intensity.
Lu, Yue M. +3 more
core +3 more sources
Real‐Time 3D Ultrasound Imaging with an Ultra‐Sparse, Low Power Architecture
Advanced Healthcare Materials, EarlyView.This article presents a novel, ultra‐sparse ultrasound architecture that paves the way for wearable real‐time 3D imaging. By integrating a unique convolutional array with chirped data acquisition, the system achieves high‐resolution volumetric scans at a fraction of the power and hardware complexity.
Colin Marcus +9 more
wiley +1 more source
Applied SciencesIn view of the data of fault diagnosis and good product testing in the industrial field, high-noise unbalanced data samples exist widely, and such samples are very difficult to analyze in the field of data analysis.
Dong Zhang +4 more
doaj +1 more source
Over-sampling imbalanced datasets using the Covariance Matrix [PDF]
EAI Endorsed Transactions on Energy Web, 2020 INTRODUCTION: Nowadays, many machine learning tasks involve learning from imbalanced datasets,leading to the miss-classification of the minority class. One of the state-of-the-art approaches to ”solve” thisproblem at the data level is Synthetic Minority ...
Ireimis Leguen-deVarona +3 more
doaj +1 more source
, 2017 Analog-to-digtial (A/D) conversion plays a crucial role when it comes to the design of energy-efficient and fast signal processing systems. As its complexity grows exponentially with the number of output bits, significant savings are possible when ...
Stein, Manuel S.
core +1 more source
A 13-bit, 2.2-MS/s, 55-mW multibit cascade ΣΔ modulator in CMOS 0.7-μm single-poly technology [PDF]
, 1999 This paper presents a CMOS 0.7-μm ΣΔ modulator IC that achieves 13-bit dynamic range at 2.2 MS/s with an oversampling ratio of 16. It uses fully differential switched-capacitor circuits with a clock frequency of 35.2 MHz, and has a power consumption of ...
Medeiro Hidalgo, Fernando +2 more
core +1 more source
Advanced Science, EarlyView.This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño +5 more
wiley +1 more source
Fabrication of High‐Density Multimodal Neural Probes Based on Heterogeneously Integrated CMOS
Advanced Science, EarlyView.A chiplet‐based methodology democratizes active neural probe development on standard bulk CMOS services. This yields the first probe combining high‐density electrophysiology (416 electrodes) with calcium imaging (832 photodiodes) and complete on‐chip signal processing across 13 shanks.
Ju Hee Mun +10 more
wiley +1 more source