Results 191 to 200 of about 12,889,375 (285)

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, Volume 43, Issue 7, Page 4603-4623, October 2026.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Spectral-spatial wave and frequency interactive transformer for hyperspectral image classification. [PDF]

Sci Rep
Arshad T, Peng B, Rahman A, Khan R, Khan SU, Alnazi S, Alturki N.   +6 more
europepmc   +1 more source

A Machine Learning Framework for Retrieving Atmospheric Composition and the Associated Averaging Kernels From a Geostationary Hyperspectral Infrared Sounder

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 5, October 2026.
Abstract Geostationary hyperspectral infrared sounders provide hourly observations of the atmospheric composition. However, the conventional optimal estimation method (OEM)‐based retrieval algorithm requires computationally expensive radiative transfer calculations and inverse modeling, making it difficult to monitor in real time. This study presents a
Sirui Wu, Jiancong Hua, Runyi Zhou, Mengya Sheng, Zhao‐Cheng Zeng   +4 more
wiley   +1 more source

Correction: A new band selection approach integrated with physical reflectance autoencoders and albedo recovery for hyperspectral image classification. [PDF]

Sci Rep
Sangeetha V, Agilandeeswari L.
europepmc   +1 more source

A Self‐Supervised Framework for Space Object Behaviour Characterisation

Expert Systems, Volume 43, Issue 10, October 2026.
ABSTRACT Foundation Models, which leverage large neural networks pre‐trained on unlabelled data before fine‐tuning for specific tasks, are increasingly being applied to specialised domains. Recent examples include ClimaX for climate and Clay for satellite Earth observation, but a Foundation Model for Space Object Behavioural Analysis (SOBA) has not yet
Ian Groves, Andrew Campbell, James Fernandes, Diego Ramírez Rodríguez, Paul Murray, Massimiliano Vasile, Victoria Nockles   +6 more
wiley   +1 more source

Deep Learning Enables Identification of Antimicrobial Peptides Through Mechanochromic Fingerprints

Angewandte Chemie, Volume 138, Issue 37, 7 September 2026.
We demonstrate a new platform for antimicrobial peptide identification by combining polydiacetylene, hyperspectral imaging, and deep learning. The trained model classifies distinct spectral fingerprints into 14 peptide classes with 96.79% accuracy, revealing previously hidden molecular information beyond conventional colorimetric sensing.
Jiali Chen, Che‐Lun Chin, Qingzhen Zhu, Ling Chao, Kaori Sugihara   +4 more
wiley   +2 more sources

Leveraging potential of limpid attention transformer with dynamic tokenization for hyperspectral image classification. [PDF]

PLoS One
Yadav DP, Kumar D, Jalal AS, Sharma B, Liatsis P.   +4 more
europepmc   +1 more source

Optimized Stacking Ensemble Machine Learning for Nondestructive Toxicological Risk Assessment of Fish Meat Using Hyperspectral Imaging

Journal of Food Safety, Volume 46, Issue 5, October 2026.
Hyperspectral imaging and an optimized stacking ensemble learning model are developed for rapid, nondestructive toxicological assessment of fish meat. This framework integrated multiple machine learning classifiers to accurately distinguish toxicologically contaminated fish from fresh samples using both reduced (25‐band) and full (224‐band) spectral ...
Muhammad Aqeel, Muhammad Iqbal, Hassan Majeed, Rumaisa Mahmod, Khan Bahadar Khan, Yiming Deng   +5 more
wiley   +1 more source

Multiscale superpixel depth feature extraction for hyperspectral image classification. [PDF]

Sci Rep
Yan Q, Zhang S, Chen X, Zheng Z.
europepmc   +1 more source

Multimodal Transformer Fusion of PTR‐ToF‐MS Volatiles and Targeted Non‐Volatile Metabolites Enables Data‐Driven Grading of Baimudan White Tea

Rapid Communications in Mass Spectrometry, Volume 40, Issue 18, 30 September 2026.
ABSTRACT Rationale Commercial grading of Baimudan white tea still relies largely on sensory evaluation and would benefit from a rapid, objective analytical approach. This study investigated whether PTR‐ToF‐MS volatile fingerprints combined with targeted non‐volatile metabolite measurements could support data‐driven grading of four official Baimudan ...
Dandan Zhang, Suk‐Hwan Hong, Xiaojing Li   +2 more
wiley   +1 more source