Results 111 to 120 of about 45,417 (317)

Refractive Index–Correlated Pseudocoloring for Adaptive Color Fusion in Holotomographic Cytology

Cytometry Part A, EarlyView.
ABSTRACT Conventional bright‐field (BF) cytology of thyroid fine‐needle aspiration biopsy (FNAB) suffers from staining variability and limited subcellular contrast. Here, we present a refractive index–correlated pseudocoloring (RICP) framework that integrates quantitative refractive index (RI) maps obtained by holotomography (HT) with color BF images ...
Minseok Lee, Tal Lifshitz, Young Ki Lee, Geon Kim, Seog Yun Park, Hayoung Lee, Juyeon Park, Eun Kyung Lee, YongKeun Park   +8 more
wiley   +1 more source

Deep learning-enabled exploration of global spectral features for photosynthetic capacity estimation

Frontiers in Plant Science
Spectral analysis is a widely used method for monitoring photosynthetic capacity. However, vegetation indices-based linear regression exhibits insufficient utilization of spectral information, while full spectra-based traditional machine learning has ...
Xianzhi Deng, Xiaolong Hu, Liangsheng Shi, Chenye Su, Jinmin Li, Shuai Du, Shenji Li   +6 more
doaj   +1 more source

An interactive tool for semi-automatic feature extraction of hyperspectral data

Open Geosciences, 2016
The spectral reflectance of the surface provides valuable information about the environment, which can be used to identify objects (e.g. land cover classification) or to estimate quantities of substances (e.g. biomass).
Kovács Zoltán, Szabó Szilárd
doaj   +1 more source

Improved sparse representation using adaptive spatial support for effective target detection in hyperspectral imagery

, 2013
With increasing applications of hyperspectral imagery (HSI) in agriculture, mineralogy, military, and other fields, one of the fundamental tasks is accurate detection of the target of interest.
Li, Xiaohui, Ren, Jinchang, Marshall, Stephen, Zhao, Chunhui   +3 more
core   +1 more source

Real‐time lithology identification while drilling based on drill cuttings image analysis with ensemble learning

Deep Underground Science and Engineering, EarlyView.
A lithology identification while drilling method was developed, integrating an automated cuttings sampling system, a smart drilling rig, and an ensemble learning model. Underground trials achieved 97.42% accuracy in real‐time identification of cuttings lithology and composition, enhancing hazard management and supporting unmanned drilling technology in
Kun Li, Ting Ren, Ningping Yao, Jon Roberts, Haitao Song, Zhongbei Li, Xueqiu He, Liang Zhao   +7 more
wiley   +1 more source

NEW EVALUATION TECHNIQUES OF HYPERSPECTRAL DATA

Journal of Systemics, Cybernetics and Informatics, 2009
Multiband aerial imagery in remote sensing is a technology used more and more widely in present days. It can excellently be used in research fields where there is need for high spectral resolution images in order to obtain adequate level results. At present, data collection is of a much higher level than processing and use. As the technical development
Veronika Kozma-Bognár, József Berke
openaire   +2 more sources

Flexible wearable electronics for cardiovascular monitoring from surface signals to deep physiological insights

FlexMat, EarlyView.
This review organizes flexible wearable electronics for cardiovascular monitoring into four interconnected information layers: surface electrophysiology, hemodynamic sensing, vascular imaging, and biofluid biomarker analysis. This framework clarifies how electrical rhythm, vascular loading, structural and flow‐related features, and biochemical states ...
Qiao Chen, Hongwen Chen, Yuanyuan Li, Pingan Yang, Rui Li, Zhihao Zhou   +5 more
wiley   +1 more source

Measuring and modelling parameters from hyperspectral sensors for site-specific crop protection [PDF]

, 2010
This thesis sought to optimise systems for plant protection in precision agriculture through developing a field method for estimating crop status parameters from hyperspectral sensors, and an empirical model for estimating the required herbicide dose in ...
Larsolle, Anders
core  

The Global Patent Landscape of Mushroom‐Derived Functional Foods: Current Status, Future Perspectives, and Artificial Intelligence–Driven Exploration

Food Safety and Health, EarlyView.
The global patent landscape of mushroom‐derived functional food was widely analyzed, and AI‐integrated approaches realizing cost‐effective and reliable exploration of functional foods derived from mushrooms were explored. ABSTRACT Global health concerns and the increasing demand for nourishment have collectively driven the rising demand for functional ...
Xihong Zhao, Linhuizi Xiang, Dongmei Liu, Shoucheng Qin, Yue Chen, Xueyan Sun   +5 more
wiley   +1 more source

From prediction to actionable mechanisms: Explainable multi‑omics AI for farm‑to‑fork postharvest preservation

iMeta, EarlyView.
Graphical overview of explainable artificial intelligence (XAI) for farm‐to‐fork postharvest preservation. Postharvest deterioration accumulates across orchard, packhouse, refrigerated transportation, warehouse, and distribution stages under fluctuating temperature, humidity, atmosphere, and mechanical stress.
Peihua Ma, Xiaoxue Jia, Bei Fan, Boqiang Li, Tao Lin, Jiping Sheng, Cheng‐I Wei, Yingjian Lu, Yizhou Ma, Lin Chen, Songtao Jiu, Fengzhong Wang   +11 more
wiley   +1 more source