Results 51 to 60 of about 189,164 (223)
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
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
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
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
Grassland Research, EarlyView.This literature‐based method estimates human appreciation of flower colours on target grasslands. Step 1: search literature sources (floristic surveys, national floras, web datasets and preference studies). Step 2: flower trait extraction (flower colour and area, flowering period and human colour appreciation scale).
Marco Bianchini +4 more
wiley +1 more source
Deep Learning Integration in Optical Microscopy: Advancements and Applications
Microscopy Research and Technique, EarlyView.It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari +5 more
wiley +1 more source
Gloss estimation of chocolate sprinkles with Hyperspectral Imaging
, 2022 Pedro Ródenas-Pérez +2 more
openalex +1 more source
Comparison of Hyperspectral Imaging and Microvascular Doppler for Perfusion Monitoring of Free Flaps in an In Vivo Rodent Model [PDF]
, 2022 Philipp Becker +6 more
openalex +1 more source
Desertification Risk: Bibliometric Analysis and Future Research Directions
Land Degradation &Development, EarlyView.ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam +5 more
wiley +1 more source