Results 71 to 80 of about 4,188 (182)

Evaluation of the Usefulness of Machine Learning and Artificial Intelligence on Hyperspectral Images in the Diagnosis of Myelodysplastic Syndrome

Journal of Biophotonics, Volume 19, Issue 7, July 2026.
Hyperspectral imaging (350–1050 nm) captures spectral information beyond the visible range from bone marrow biopsy specimens. An HSI‐based AI system using machine learning achieved up to 97% accuracy in diagnosing and classifying MDS, outperforming a previous RGB‐based study.
Yasuo Ueda, Takafumi Ogawa, Akane Wada, Genshu Tate, Yuta Baba, Tetsuya Fukuda, Toshiko Yamochi   +6 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

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

Transformer-Based Diffusion and Spectral Priors Model for Hyperspectral Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral pansharpening aims to fuse a high-resolution panchromatic image (HR-PCI) with a low-resolution hyperspectral image (LR-HSI) to produce a high-resolution hyperspectral image (HR-HSI).
Hongcheng Jiang, Zhiqiang Chen
doaj   +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

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

Multi-Scale CNN Based Garbage Detection of Airborne Hyperspectral Data

IEEE Access, 2019
Garbage detection is important for environmental monitoring in large areas. However, the manual patrol is time-consuming and labor-intensive. This paper proposes a method for monitoring garbage distribution in large areas with airborne hyperspectral data.
Dan Zeng, Shun Zhang, Fansheng Chen, Yueming Wang   +3 more
doaj   +1 more source

Electrolyzers-HSI: Close-Range Multi-Scene Hyperspectral Imaging Benchmark Dataset

Scientific Data
Abstract The global challenge of sustainable recycling demands automated, fast, and accurate material detection systems that act as a bedrock for a circular economy. Integrating front-tier technologies into advanced recycling systems democratizes access to AI-driven sustainability, and transforms waste analysis ...
Arbash, E., Afifi, A. J. M., Belahsen, Y., Fuchs, M., Ghamisi, P., Scheunders, P., Gloaguen, R.   +6 more
openaire   +6 more sources

Multiscale Hyperspectral Pansharpening Network Based on Dual Pyramid and Transformer

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral pansharpening is to fuse a high spatial resolution panchromatic image (PAN) with a low spatial resolution hyperspectral image (LR-HSI) and generate high resolution hyperspectral image (HR-HSI).
Hengyou Wang, Jie Zhang, Lian-Zhi Huo
doaj   +1 more source