Attention-Embedded Triple-Fusion Branch CNN for Hyperspectral Image Classification [PDF]
, 2023 Erlei Zhang +6 more
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Generative AI, ESG Sensemaking, and Environmental Performance: an OIPT Perspective
Business Strategy and the Environment, EarlyView.ABSTRACT Despite growing enthusiasm for generative artificial intelligence (GenAI) in sustainability management, it remains unclear how such technologies translate vast ESG information into meaningful environmental outcomes. This study addresses this gap by investigating how ESG sensemaking capability mediates the relationship between GenAI integration
Surajit Bag +3 more
wiley +1 more source
Hyperspectral Image Classification via Spatial Shuffle-Based Convolutional Neural Network [PDF]
, 2023 Zhihui Wang, Baisong Cao, Jun Liu
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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 +7 more
wiley +1 more source
FUSION OF HYPERSPECTRAL AND PANCHROMATIC IMAGES USING SPECTRAL UNMIXING RESULTS [PDF]
, 2013 Roozbeh Rajabi, Hassan Ghassemian
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Hyperspectral Image Classification Based on Multilevel Joint Feature Extraction Network [PDF]
, 2021 Xiaochen Lu +4 more
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Food Biomacromolecules, EarlyView.Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley +1 more source
Advances in Hyperspectral Image Classification with a Bottleneck Attention Mechanism Based on 3D-FCNN Model and Imaging Spectrometer Sensor [PDF]
, 2022 Deren Yuan +3 more
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Food Safety and Health, EarlyView.This study verified that it is feasible to distinguish oranges of different origins, grades and shelf lives by using hyperspectral technology. It covers spectral, image and graph technologies, as well as machine learning and deep learning models. ABSTRACT This study reports the first application of hyperspectral feature fusion technology combined with ...
Honghui Xiao +9 more
wiley +1 more source
A Spectra Classification Methodology of Hyperspectral Infrared Images for Near Real-Time Estimation of the SO2 Emission Flux from Mount Etna with LARA Radiative Transfer Retrieval Model [PDF]
, 2020 Charlotte Segonne +4 more
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