Results 101 to 110 of about 24,881,858 (314)

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

Recent advances and prospects for high‐efficiency blue hot exciton organic light‐emitting diodes

FlexMat, EarlyView.
Blue organic light‐emitting diodes (OLEDs) face great challenges in achieving the balance between color purity, device efficiency, and stability. Hot exciton materials offer a solution by rapidly converting non‐emissive triplet excitons into singlet ones through a high‐lying reverse intersystem crossing process.
Xiaoen Shi, Shuyuan Ge, Futong Liu, Ping Lu   +3 more
wiley   +1 more source

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

Discriminating Chemoresistant and Chemosensitive Tubo‐Ovarian High‐Grade Serous Carcinoma Cells With Raman Microscopy

Journal of Raman Spectroscopy, EarlyView.
Confocal Raman microscopy combined with multivariate analysis distinguishes cisplatin‐resistant and ‐sensitive tubo‐ovarian high‐grade serous carcinoma cell lines. ABSTRACT Chemoresistance is a major obstacle to effective cancer treatment, particularly in tubo‐ovarian high‐grade serous carcinoma (HGSC), the most lethal gynaecological malignancy ...
Elina Harju, Parisa Movahedi, Teemu Tomberg, Sara J. Fraser‐Miller, Francesco Piga, Jukka Saarinen, Kathleen J. Sircombe, Jacopo Zini, Jukka Heikkonen, Anna Laury, Sarah Hook, Keith C. Gordon, Tapio Pahikkala, Clare J. Strachan   +13 more
wiley   +1 more source

Leveraging Hyperspectral Data in Cognitive Environments

IEEE Access
Hyperspectral Imaging (HSI) captures data across multiple wavelengths of light, including visible and non-visible spectra (e.g., infrared or ultraviolet). It is usually used to analyze the composition, structure, and condition of objects of interest in a given environment through the spectral signature that, for a given material, represents its unique ...
Massimo Micieli, Franco Cicirelli, Antonio Guerrieri, Luigi Rizzo, Andrea Vinci, Paolo Zicari   +5 more
openaire   +2 more sources

Models of DG‐Carbon Bands in Raman Spectra: Effects of Basis Functions and Initial Values on the Uniqueness and S/N of Fits Obtained for Atmospheric Aerosol Using Automated Methods

Journal of Raman Spectroscopy, EarlyView.
Raman spectra containing D/G features are fit using combinations of basis functions and initial conditions. Fits with two Lorentzian functions converged to a single optimized fit even with variation of initial peak positions. For five‐band fits, sometimes the final fit varied with initial conditions, and constraints on peak center position were ...
David C. Doughty, Steven C. Hill
wiley   +1 more source

How to Learn More? Exploring Kolmogorov–Arnold Networks for Hyperspectral Image Classification

Remote Sensing
Convolutional neural networks (CNNs) and vision transformers (ViTs) have shown excellent capability in complex hyperspectral image (HSI) classification.
Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, Pedram Ghamisi   +4 more
doaj   +1 more source

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Assessing plant water status: Part 1 – Classical methods

Journal of the Science of Food and Agriculture, EarlyView.
Abstract As a result of the changing climate, water scarcity poses a significant threat to crop and pasture production. Although soil water content can indicate drought, its measurements often provide limited spatial resolution and are weakly correlated with plant water status, producing misleading drought assessments.
Naila Farooq, Tasawer Abbas, Bo Zhang, Bastian Leander Franzisky, Jochen Taiber, Martin Koch, Christoph‐Martin Geilfus, Ian C Dodd   +7 more
wiley   +1 more source