Results 161 to 170 of about 57,062 (333)

OHID-1: A New Large Hyperspectral Image Dataset for Multi-Classification

Scientific Data
In the context of the increasing popularity of Big Data paradigms and deep learning techniques, we introduce a novel large-scale hyperspectral imagery dataset, termed Orbita Hyperspectral Images Dataset-1 (OHID-1).
Ashish Mani, Sergey Gorbachev, Jun Yan, Abhishek Dixit, Xi Shi, Long Li, Yuanyuan Sun, Xin Chen, Jiaqi Wu, Jianwen Deng, Xiaohua Jiang, Dong Yue, Chunxia Dou, Xiangsen Wei, Jiawei Huang   +14 more
doaj   +1 more source

Transductive hyperspectral image classification: toward integrating spectral and relational features via an iterative ensemble system [PDF]

, 2016
Annalisa Appice, Pietro Guccione, Donato Malerba   +2 more
openalex   +1 more source

Linking Nutritional, Sensory, and Functional Quality in Plant‐Based Proteins Through Structural Modification and Computational Insights

Sustainable Food Proteins, Volume 4, Issue 1, March 2026.
The lacking essential amino acids, low digestibility, bioavailability, bitterness, and presence of anti‐nutritional factors that limit the consumption of plant proteins and their use in food formulations are discussed comprehensively. The findings of recent studies on novel technologies and computer‐based applications used to cope with these challenges
Humeyra Cavdar Dincturk, Rukiye Gundogan, Asli Can Karaca, Esra Capanoglu   +3 more
wiley   +1 more source

An Explainable and Lightweight CNN Framework for Robust Potato Leaf Disease Classification Using Grad‐CAM Visualization

Applied AI Letters, Volume 7, Issue 1, February 2026.
Proposed model achieves 99.14% accuracy with near‐perfect precision, recall, and F1 across all classes; Grad‐CAM visualizations confirm focus on biologically relevant symptom‐associated regions. ABSTRACT For identifying foliar diseases in crops at an early stage, accurate detection is necessary in maintaining food security, minimizing economic losses ...
MD Jiabul Hoque, Md. Saiful Islam
wiley   +1 more source

Spectroscopic Methods of Edible Flower Authentication and Quality Control for Food Applications

eFood, Volume 7, Issue 1, February 2026.
The global demand for edible flowers has increased. Issues such as incorrect species identification, flower product adulteration, contamination, and quality degradation necessitate the application of proper methods for authenticating and controlling the product's quality.
Fidele Benimana, Christopher Kucha, Anupam Roy, Anand Mohan   +3 more
wiley   +1 more source

Hyperspectral Image Enhancement and Mixture Deep-Learning Classification of Corneal Epithelium Injuries [PDF]

, 2017
Siti Salwa Md Noor, Jinchang Ren, Stephen Marshall, Kaleena Michael   +3 more
openalex   +1 more source

Origin of the Bulge Topography Within Caloris Basin, Mercury

Journal of Geophysical Research: Planets, Volume 131, Issue 2, February 2026.
Abstract Caloris basin on Mercury has a massive circular bulge topography imprinted with unique fault sets. A variety of deformational processes have been proposed to have influenced their formation, including both global contraction and basin evolution, as well as the deposition and weight of the volcanic infill.
G. Schmidt, V. Galluzzi, A. Sepe, S. Buoninfante, B. De Toffoli, L. Ferranti, P. Palumbo   +6 more
wiley   +1 more source

Varietal Classification of Rice Seeds Using RGB and Hyperspectral Images [PDF]

, 2020
Samson Damilola Fabiyi, Hai Vu, Christos Tachtatzis, Paul Murray, David Harle, Trung‐Kien Dao, Ivan Andonović, Jinchang Ren, Stephen Marshall   +8 more
openalex   +1 more source

Biology, Detection, and Management of Lecanosticta acicola: Emerging Challenges for the Management of Brown Spot Needle Blight in Pine Forests

Forest Pathology, Volume 56, Issue 1, February 2026.
ABSTRACT Brown spot needle blight (BSNB), caused by the fungus Lecanosticta acicola, is a widely distributed foliar disease of pines that causes needle necrosis, premature defoliation, and growth loss in both natural forests and commercial plantations. Although L.
Gabriel Silva, Temitope R. Folorunso, Andrea Miranda Paez, Gina F. Lamka, Swati Singh, Jaden King, Lydia Henderson, Micah Persyn, Tabeth Mwema, Tess Lindow, Negar Amiri, Lori Eckhardt, Lana Narine, Janna R. Willoughby   +13 more
wiley   +1 more source

Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification. [PDF]

Sensors (Basel), 2023
Arshad T, Zhang J, Ullah I, Ghadi YY, Alfarraj O, Gafar A.   +5 more
europepmc   +1 more source