Results 71 to 80 of about 4,471 (236)

Attend in Bands: Hyperspectral Band Weighting and Selection for Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
Hyperspectral remote sensing sensors have the ability to capture a wide range of spectrum of ground objects with hundreds to thousands of bands. The obtained hyperspectral images contain more detailed spectral information than conventional panchromatic or color images.
Jing Wang 0062, Jun Zhou 0001, Weiqing Huang   +2 more
openaire   +2 more sources

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

Self-Supervised Deep Multi-Level Representation Learning Fusion-Based Maximum Entropy Subspace Clustering for Hyperspectral Band Selection

Remote Sensing
As one of the most important techniques for hyperspectral image dimensionality reduction, band selection has received considerable attention, whereas self-representation subspace clustering-based band selection algorithms have received quite a lot of ...
Yulei Wang, Haipeng Ma, Yuchao Yang, Enyu Zhao, Meiping Song, Chunyan Yu   +5 more
doaj   +1 more source

Bio‐inspired nanophotonics: Structural color, chirality, and resonance metasurfaces

InfoMat, EarlyView.
A butterfly‐wing‐inspired anisotropic plasmonic flatband resonant metasurface. Insets, photo of the butterfly, Sasakia charonda, and the SEM image of its wing scale (above); the SEM image of the metasurface (below). Abstract The dazzling colors of butterfly wings and hummingbird feathers are not painted with pigments, but crafted by nature's invisible ...
Weihan Liu, Yao Liang, Din Ping Tsai
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

Supervised Embedded Methods for Hyperspectral Band Selection

Hyperspectral Imaging (HSI) captures rich spectral information across contiguous wavelength bands, supporting applications in precision agriculture, environmental monitoring, and autonomous driving. However, its high dimensionality poses computational challenges, particularly in real-time or resource-constrained settings.
Yaniv Zimmer, Ofir Lindenbaum, Oren Glickman   +2 more
openaire   +2 more sources

Discriminating Chemoresistant and Chemosensitive Tubo‐Ovarian High‐Grade Serous Carcinoma Cells With Raman Microscopy

Journal of Raman Spectroscopy, EarlyView.
Confocal Raman microscopy combined with multivariate analysis distinguishes cisplatin‐resistant and ‐sensitive tubo‐ovarian high‐grade serous carcinoma cell lines. ABSTRACT Chemoresistance is a major obstacle to effective cancer treatment, particularly in tubo‐ovarian high‐grade serous carcinoma (HGSC), the most lethal gynaecological malignancy ...
Elina Harju, Parisa Movahedi, Teemu Tomberg, Sara J. Fraser‐Miller, Francesco Piga, Jukka Saarinen, Kathleen J. Sircombe, Jacopo Zini, Jukka Heikkonen, Anna Laury, Sarah Hook, Keith C. Gordon, Tapio Pahikkala, Clare J. Strachan   +13 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

Mycotoxin management in the cereal supply chain: Advanced detection, detoxification, and smart packaging strategies

Journal of the Science of Food and Agriculture, EarlyView.
Abstract Mycotoxins remain a persistent threat to the safety and quality of cereal grains and other agricultural products, and their impact on human health continues to raise global concerns. In many situations, the practices traditionally used to control these toxins are no longer sufficiently effective. They can be costly, difficult to implement on a
Abolfazl Asqardokht‐Aliabadi, Dipendra Kumar Mahato, Jafar Mohammadzadeh Milani   +2 more
wiley   +1 more source

Unleashing the power of visible‐near infrared spectroscopy: predicting Golden Delicious apple enzyme activity

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND Enzymatic browning is a significant reaction in fruits that affects their color, appearance, and quality. The quality of apples, as a perishable product, is mainly influenced by the activity of two browning‐related enzymes, polyphenol oxidase (PPO) and peroxidase (POD), during storage.
Tarahom Mesri Gundoshmian, Mahsa Sadat Razavi, Reza Akbari, Mohammad Tahmasebi, Irene Locatelli, Silvia Grassi   +5 more
wiley   +1 more source