Results 101 to 110 of about 3,420,393 (309)

PbS colloidal quantum dots imagers: From single devices to arrays, flexible platforms, and CMOS‐integrated systems

FlexMat, EarlyView.
Abstract Imagers operating in the visible to near‐infrared (NIR) range play an important role in applications such as industrial sorting, security surveillance, and autonomous driving. However, conventional imaging technologies based on silicon and III–V semiconductors suffer from several limits, including restricted spectral range, high fabrication ...
Xin Hong, Songdi Zhang, Runtian Han, Peng Wang, Wenjie Deng   +4 more
wiley   +1 more source

Unsupervised Hyperspectral Band Selection using Clustering and Single-Layer Neural Network

Revue Française de Photogrammétrie et de Télédétection, 2018
Hyperspectral images provide rich  spectral details of the observed scene by exploiting contiguous bands. But, the processing of such images becomes heavy, due to the high dimensionality.
Mateus Habermann, Vincent Frémont, Elcio Hideiti Shiguemori   +2 more
doaj   +1 more source

Hyperspectral image band selection via global optimal clustering

, 2017
Band selection, by choosing a set of representative bands in hyperspectral images (HSI), is concerned to be an effective method to eliminate the 'Hughes phenomenon'.
Fahong Zhang, Wang, Qi, Li, Xuelong, Qi Wang, Zhang, Fahong, Xuelong Li   +5 more
core   +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

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

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

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

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

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