Results 81 to 90 of about 1,549,240 (256)
Advanced Science, EarlyView.Lateral flow assays are evolving into interdisciplinary, system‐level sensing platforms. Recent innovations are deconstructed through coupled phases of mass transfer, reaction, and signal transduction, revealing interdependence across porous materials, interfacial chemistry, nanolabels, readout devices, and data‐enabled analysis.
Yan Pan +6 more
wiley +1 more source
Excitation‐Selective Hydrochromic Upconversion in Zero‐Dimensional Metal Halides
Advanced Science, EarlyView.Excitation wavelength dictates whether moisture speaks. In zero‐dimensional metal halides, the same humidity leaves the upconversion emission unchanged under 980 nm excitation yet triggers a distinct green‐to‐red shift under 1550 nm. This excitation‐selective hydrochromism, governed by the absorption at each wavelength, enables stimulus‐dependent ...
Joo Hyeong Han +6 more
wiley +1 more source
Naramata Community Choir : in concert
, 2005 Video of a performance by the Naramata Community Choir on March 23 ...
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RGB-histogram creation for extracted frames from video data [PDF]
, 2016 The following article describes the method of creating RGB-histogram for video frames for further analysis. The realization of this method contains frame extraction from video data by using AForge.NET framework and creating an RGB-histogram for those ...
Шкабара, А. И. +1 more
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A Biomimetic Solvatochromic Chip With Optimized Chemical Diversity for On‐Site Liquid Identification
Advanced Science, EarlyView.A compact biomimetic photonic‐gustatory chip uses Hansen‐solubility‐parameter‐guided solvatochromic disks to create distinct color patterns in organic liquids. An optimized four‐disk array distinguishes solvent types, ratios, homologues, isomers, and alcoholic beverages. Coupled with smartphone imaging and deep learning, it identifies 80 liquid classes
Jintao Zhang +9 more
wiley +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley +1 more source
A Generative AI Framework to Predict Cardiomyocyte Contraction Function From Single Static Images
Advanced Intelligent Discovery, EarlyView.A single static hiPSC‐cardiomyocyte image is fed into a U‐Net‐GAN framework, which directly predicts a pixel‐resolved contraction heatmap without time‐lapse imaging. StyleGAN2‐generated synthetic cell–heatmap pairs augment training, improving prediction fidelity (SSIM = 0.84).
Andrew Kowalczewski +5 more
wiley +1 more source
RGB-D-based action recognition datasets: a survey
, 2016 Human action recognition from RGB-D (Red, Green, Blue and Depth) data has attracted increasing attention since the first work reported in 2010. Over this period, many benchmark datasets have been created to facilitate the development and evaluation of ...
Chang Tang (2862872) +4 more
core +1 more source
3D Reconstruction from RGB-D Data
, 2019 A key task in computer vision is that of generating virtual 3D models of real-world scenes by reconstructing the shape, appearance and, in the case of dynamic scenes, motion of the scene from visual sensors. Recently, low-cost video plus depth (RGB-D)
Guillemaut, Jean-Yves +5 more
core +1 more source