Results 91 to 100 of about 1,349 (217)

The Magnetic Mineralogy of Carbonaceous Chondrites: A Microscopy and Machine Learning Study of Meteorite WIS 91600

Geochemistry, Geophysics, Geosystems, Volume 27, Issue 7, July 2026.
Abstract A central challenge in the paleomagnetic study of meteorites is to characterize their diverse remanence carriers. Here, we develop a machine‐learning assisted workflow that combines multi‐scale (mm to nm) and multi‐dimensional (2D‐3D) microscopy to build a comprehensive picture of ferromagnetic mineralogy in the C2 ungrouped carbonaceous ...
Richard J. Harrison, Po‐Yen Tung, Thomas Ginnis, Farhang Nabiei, Ursula Shaw, Elias N. Mansbach, James Bryson   +6 more
wiley   +1 more source

Multifiltering MLP for Spectral Super-Resolution With Remote Sensing Image Verification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Spectral super-resolution (SSR) has become an attractive approach to reconstructing hyperspectral images (HSIs) from more available RGB images or multispectral images owing to the powerful representation capability of deep learning.
Gong Li, Yihong Leng, Zhiyuan Zhang, Gang Wan, Jiaojiao Li   +4 more
doaj   +1 more source

HSI-IPGAN: Hyperspectral Image Inpainting via Generative Adversarial Network

, 2023
Abstract Due to the instability of the hyperspectral imaging system and the atmospheric interference, hyperspectral images (HSIs) often suffer from losing the image information of areas with different shapes, which significantly degrades the data quality and further limits the effectiveness of methods for subsequent tasks.
Hu Chen, Jia Li, Junjie Zhang, Liangang Zhang, Dan Zeng   +4 more
openaire   +1 more source

Protein Corona‐Coated Crystal Silica From Sandstorms Amplifies Allergic Rhinitis by Regulating Epithelial Integrity in Mice and Human Nasal Epithelia

Allergy, EarlyView.
Cuishuang Dong, Xu Zhang, Haoyue Wang, Jiajing Cui, Shuai Han, Yibo Wang, Huanying Zhao, Yang Song, Yuan Zhang, Xiaobo Li   +9 more
wiley   +1 more source

Recent Advances in Seed Separation Technologies and Quality Evaluation of Major Grain Crops: A Review

Journal of Food Process Engineering, Volume 49, Issue 7, July 2026.
A caption summarizing techniques that have been used in seed seperation and quality evaluation. ABSTRACT The growing demand for high‐quality grains has intensified the need for efficient seed separation and quality evaluation methods in industrial processing, especially for food applications. Despite notable technological progress, conventional systems
Pa Tamba Jammeh, Brent S. Hulke, Jarrad R. Prasifka, Cannayen Igathinathane, Xin Sun, Ewumbua Monono   +5 more
wiley   +1 more source

Artificial Intelligence in the Food Industry: Transforming Safety, Efficiency, and Sustainability From Farm to Fork

eFood, Volume 7, Issue 3, June 2026.
This review synthesizes AI advancements in food systems, leveraging machine learning, computer vision, robotics, and IoT for 96%–100% accurate quality inspection, 30% reduced downtime, and enhanced traceability from farm to fork. It highlights transformative potential in sustainability and SDGs while addressing data, ethical, and scalability challenges
Muhammad Waqar, Mariyam Shahid, Manat Chaijan, Worawan Panpipat, Djilali Benabdelmoumene, Ahmed Mediani, Abdifetah Ibrahim Omar, Sabrin R. M. Ibrahim, Qudrat Ullah, Temesgen Anjulo Ageru   +9 more
wiley   +1 more source

Hyperspectral Imaging (HSI) of Human Kidney Allografts

, 2021
Zusammenfassung der Arbeit /Dissertation zur Erlangung des akademischen Grades Dr. med. Hyperspectral Imaging (HSI) of Human Kidney Allografts Die HSI Bildgebung ist ein nichtinvasives Instrument zur quantitativen Bewertung der Sauerstoffanreicherung parenchymatöser Organe, der Mikroperfusion von Transplantaten sowie zur Messung der Hämoglobin- und ...
openaire   +1 more source

Application of Artificial Intelligence in Food Science and Nutrition: Challenges and Future Perspectives

eFood, Volume 7, Issue 3, June 2026.
AI application can be very helpful in addressing different issues and shaping novel techniques in food production, food safety and quality, and food intake. AI application in food science, such as the food industry and processing, food safety and packaging, and nutrition.
Yaseen Galali, Pary Hadi, Arkan Mohammed Hassan, Holem Hashm Balaky, Tavga Sulaiman Rashid, Bashdar Abuzed Sadee, Tanya Salam Salih, Hamed Hassanzadeh   +7 more
wiley   +1 more source

Advancing Canning Quality in Common Beans: An Integrated Farm‐to‐Can Framework Combining Breeding, Processing, and Artificial Intelligence

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour, Biniam Kebede, Mohsen Yoosefzadeh‐Najafabadi   +2 more
wiley   +1 more source

Light cancellation for hyperspectral material classification [PDF]

embargoed_20271016This thesis work addresses the problem of hyperspectral reconstruction and illumination estimation to enhance material classification capabilities.
ALOISI, AMERIGO
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