Results 281 to 290 of about 57,062 (333)

Integrating Remote Sensing and Metabolomics to Assess Synergistic Effects of Phosphate Deficiency, Drought, and AMF Symbiosis in Soybean

Physiologia Plantarum, Volume 178, Issue 1, January/February 2026.
ABSTRACT Soybean growth and yield are susceptible to abiotic stresses such as phosphate (P) deficiency and drought. Symbiotic association of plant roots with arbuscular mycorrhizal fungi (AMF) can improve water uptake, thereby increasing stress resilience.
Muhammad Adeel Hassan, Russell R. Kibbe, David C. Muddiman, Christine Yao‐Yun Chang   +3 more
wiley   +1 more source

BinaryViT: Binary Vision Transformer for Hyperspectral Image Classification

Xiang Hu, Taolin Liu, Zhe Guo, Yuxiang Tang, Yuanxi Peng, Tong Zhou   +5 more
openalex   +1 more source

Welfare Indicators for Aquaculture Research: Toolboxes for Five Farmed European Fish Species

Reviews in Aquaculture, Volume 18, Issue 1, January 2026.
ABSTRACT Refining approaches to measuring, monitoring and appraising animal welfare in aquaculture research is key to (i) protecting and optimizing it, (ii) documenting the severity of how and when it deviates, and (iii) ensuring good scientific quality, reliable results and reproducibility, amongst other factors.
Chris Noble, Wout Abbink, René Alvestad, László Ardó, Marie‐Laure Bégout, Nina Bloecher, Erik Burgerhout, Josep Calduch‐Giner, Mauro Chivite‐Alcalde, Petr Císař, Evan Durland, Åsa M. Espmark, Lynne Falconer, Martin Føre, Dimitra G. Georgopoulou, Karsten Heia, Gaute A. N. Helberg, David Izquierdo Gomez, Lill‐Heidi Johansen, Gunhild Seljehaug Johansson, Kristbjörg Edda Jónsdóttir, Jelena Kolarevic, Aleksei Krasnov, Santhosh K. Kumaran, Bjarne Kvæstad, Thomas Larsson, Carlo C. Lazado, Angelico Madaro, Federico Moroni, Ingrid Måge, Jonatan Nilsson, Samuel Ortega, Nikos Papandroulakis, Jaume Pérez‐Sánchez, Pamela M. Prentice, Sonia Rey Planellas, Bjørn Roth, Adrian Smith, Lars Erik Solberg, Orestis Stavrakidis‐Zachou, Lars Helge Stien, Anja Striberny, Ragnhild Aven Svalheim, Bjørn‐Steinar Sæther, Gerrit Timmerhaus, Hilde Toften, Linda Tschirren, Hans van de Vis, Elisabeth Ytteborg, Lucas A. Zena, Tone‐Kari Knutsdatter Østbye   +50 more
wiley   +1 more source

Gssfnet: Graph-Based Spectral-Spatial Fusion Network for Hyperspectral Image Classification

Guanqun Ding, Leyuan Sun, Kun Xiao, X. M. Zhang, Zhouchuan Huang, Ziyi Chen   +5 more
openalex   +1 more source

Detection of Hypergranulation Tissue in Chronic Wound Images Using Artificial Intelligence Algorithms

Wound Repair and Regeneration, Volume 34, Issue 1, January/February 2026.
ABSTRACT Hypergranulation in chronic wounds reflects impaired healing, leading to delayed recovery, increased risk of infection and higher treatment costs for healthcare systems. Despite its impact, hypergranulation is often misidentified in the early stages, hindering timely intervention. This study presents a deep learning‐based method to distinguish
David Reifs, Lorena Casanova, Ramon Reig‐Bolaño, Andrea Coda   +3 more
wiley   +1 more source

VertINGreen: A Practical Application for Planning and Monitoring Indoor Vertical Green Living Walls Based on Remote Sensing and Machine Learning Models

Indoor Air, Volume 2026, Issue 1, 2026.
Maintaining indoor air quality in densely built environments presents growing challenges due to rising energy demands. Vertical green living walls offer a promising, sustainable, and nature‐based solution; however, their performance varies widely across different conditions, and their maintenance remains complex, posing barriers that limit their ...
Yehuda Yungstein, David Helman, Abdollah Baghaei Daemei   +2 more
wiley   +1 more source

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Superpixel based classification of hyperspectral images

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Hyperspectral imaging captures a high number of spectrally narrow bands and provides advantages for image analysis applications such as identification and classification in particular. Hyperspectral images contain a large amount of bands. Processing these images causes the operation load substantially.
ERTÜRK, SARP, Cezairlioglu, Kubra, Cakmak, Mehtap   +2 more
openaire   +2 more sources

Optimizing wavelets for hyperspectral image classification

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009
This work presents a procedure to optimize a wavelet filter in terms of discrimination capability between the classes characterizing a given hyperspectral remote sensing image. To this end, this procedure estimates the coefficients of the wavelet filter bank by means of a particle swarm optimization (PSO) so that to maximize the average Bhattacharyya ...
A. Daamouche, Melgani, Farid, L. Hamami
openaire   +2 more sources

Hyperspectral image classification using Daisy descriptor

2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
In this paper it is proposed to use the Daisy descriptor approach to increase classification accuracy in Hyperspectral images. In this descriptor approach, a new descriptor is constructed by applying the spectral data to multiple low-pass filters with different pass frequencies.
ERTÜRK, SARP, Igit, Sevil, Meric, Merve
openaire   +2 more sources