Results 81 to 90 of about 4,953 (252)

Band Selection for Hyperspectral Imagery Using Affinity Propagation

2008 Digital Image Computing: Techniques and Applications, 2008
Hyperspectral imagery generally contains enormous amounts of data due to hundreds of spectral bands. Band selection is often adopted firstly to reduce computational cost and accelerate knowledge discovery of subsequent classificationand analysis. Recently, a new clustering algorithm, named "affinity propagation," is proposed. Different from the popular
Sen Jia 0001, Yuntao Qian, Zhen Ji
openaire   +2 more sources

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

Deep Spectral Feature Learning With Evolutionary Band Selection for Environmental Monitoring of Plastic Debris

IEEE Access
The proliferation of plastic debris in terrestrial and aquatic environments poses significant ecological and monitoring challenges worldwide. Hyperspectral imaging (HSI) provides fine-grained spectral signatures that enable the reliable identification of
R. Anand
doaj   +1 more source

Hyperspectral band selection and modeling of soil organic matter content in a forest using the Ranger algorithm. [PDF]

PLoS One, 2021
Shi Y, Zhao J, Song X, Qin Z, Wu L, Wang H, Tang J.   +6 more
europepmc   +1 more source

Biosensors for Food Safety and Adulteration Monitoring: Applications, Smart Packaging Integration, and Pathways to Intelligent, Field‐Deployable Detection Systems

Food Safety and Health, EarlyView.
Biosensors enable rapid, sensitive, and portable detection of pathogens, contaminants, allergens, and food adulteration. Integration with smart packaging, smartphones, IoT, and machine learning supports real‐time monitoring and intelligent decision‐making, whereas microfluidics, biodegradable materials, explainable AI, and blockchain offer pathways ...
Mohima Akther Any, Abid Hassan Arnab, Liza Akter, Yusuf Chowdhury, Md. Hassan Bin Nabi, Md Abu Rayhan, Nazmul Islam, Wahidu Zzaman   +7 more
wiley   +1 more source

Responses of primary producers, anoxia, and chemical feedback to Late Glacial climate change: Insights from a paired lake approach

Journal of Quaternary Science, EarlyView.
Abstract Worldwide, lacustrine ecosystems are threatened by eutrophication and deoxygenation. Both processes are driven by the combined effects of human activities and climate change. Understanding the pre‐anthropogenic nexus between warming, eutrophication, deoxygenation, and related feedback is essential to determine how lakes respond to rapid ...
Noé R.M.M. Schmidhauser, Stan J. Schouten, Petra Zahajská, Andrea Lami, Jacqueline F.N. van Leeuwen, Rik Tjallingii, Hendrik Vogel, Martin Grosjean   +7 more
wiley   +1 more source

Hyperspectral Band Selection via Joint Volume Gradient

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Unsupervised band selection (BS) is a crucial research direction in the domain of hyperspectral image (HSI) processing. In recent years, volume-based criteria have garnered considerable attention, with the volume-gradient-based BS (VGBS) algorithm being ...
Songyi Xiao, Liangliang Zhu, Shouzhi Li, Luyan Ji, Xiurui Geng   +4 more
doaj   +1 more source

Ensemble Identification of Spectral Bands Related to Soil Organic Carbon Levels over an Agricultural Field in Southern Ontario, Canada

Remote Sensing, 2019
The recent use of hyperspectral remote sensing imagery has introduced new opportunities for soil organic carbon (SOC) assessment and monitoring.
Ahmed Laamrani, Aaron A. Berg, Paul Voroney, Hannes Feilhauer, Line Blackburn, Michael March, Phuong D. Dao, Yuhong He, Ralph C. Martin   +8 more
doaj   +1 more source

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

Illuminating Streptomyces: Raman Spectroscopy for Antibiotic Detection and Monitoring

Journal of Raman Spectroscopy, EarlyView.
Raman spectroscopy provides a non‐destructive, label‐free approach for studying the chemical diversity of Streptomyces. This review presents its application from detection to chemical characterization of secondary metabolites and monitoring of biosynthetic processes.
Adéla Mikulová, Jan Bobek, Martin Kizovský, Markéta Benešová, Ota Samek, Pavlína Modlitbová, Zdeněk Pilát   +6 more
wiley   +1 more source