Results 121 to 130 of about 57,543 (231)

ICAG‐Net: An Interactive CNN–Transformer Architecture With Attention‐Guided Gated Fusion for Crop Disease Detection

Engineering Reports, Volume 8, Issue 5, May 2026.
This study presents an AI‐driven approach to smart agriculture focused on early detection of crop diseases, especially fungal infections, to enhance food security. An ensemble model combining a Custom CNN for local feature extraction and a pretrained vision transformer (ViT) for global context analysis is proposed.
Kapil Arvind Chavan, Uttam U. Deshpande, Sudhindra B. Deshpande, Sowmyashree H. Srinivasaiah, Mukesh Kumar, Sukhdev B. Waghmode   +5 more
wiley   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, Volume 89, Issue 5, Page 791-814, May 2026.
It explores the integration of DL into optical microscopy, focusing on key applications including image classification, segmentation, and computational reconstruction. ABSTRACT Optical microscopy is a cornerstone imaging technique in biomedical research, enabling visualization of subcellular structures beyond the resolution limit of the human eye ...
Pottumarthy Venkata Lahari, Sagnika Dutta, H. Deeksha, Samreen A. Patel, Budheswar Dehury, Nirmal Mazumder   +5 more
wiley   +1 more source

Mineralogical Characterization of the Lunar South Polar Region: 2. Exploring Mafic‐Bearing Targets With Optimized Traverse Paths at Mons Kocher

Journal of Geophysical Research: Planets, Volume 131, Issue 5, May 2026.
Abstract Several national space agencies and commercial entities are currently targeting the Moon's south polar region for human and robotic exploration. Of particular interest are materials excavated and ejected from the Moon's largest and oldest impact structure, the South Pole‐Aitken Basin (SPA), as these ancient materials are a window into the ...
D. P. Moriarty III, N. E. Petro, B. A. Cohen   +2 more
wiley   +1 more source

Superpixel-Guided Matrix-Valued Kernel Functions for Multiscale Nonlinear Hyperspectral Unmixing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral unmixing is a critical challenge in the analysis of hyperspectral remote sensing data. Due to the complex interactions between incident light and materials, which are significantly influenced by the three-dimensional geometry of the scene ...
Xiu Zhao, Meiping Song
doaj   +1 more source

Capability Demonstration of a JEDI‐Based System for TEMPO Assimilation: System Description and Evaluation

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 5, May 2026.
Abstract The launch of the Tropospheric Emissions: Monitoring of Pollution (TEMPO) mission in 2023 marked a new era in air quality monitoring by providing high‐frequency, geostationary observations of column NO2 across most of North America. In this study, we present the first implementation of a TEMPO NO2 data assimilation system using the Joint ...
Maryam Abdi‐Oskouei, Jérôme Barré, Shih‐Wei Wei, Sarah Lu, Ashley Griffin, Clementine Hardy Gas, Francois Hebert, Stephen Herbener, Eric Lingerfelt, Evan Parker, Christian Sampson, Steve Vahl, Fabio Diniz, Ben Johnson, Cheng Dang, Yannick Tremolet, Benjamin Ruston, Viral Shah, Emma Knowland, Ricardo Todling, Ronald Gelaro, Caroline Nowlan, Gonzalo Gonzalez Abad, Xiong Liu, Brian McDonald, Kristen Zuraski, Jeff Peischl, Caroline Womack, Laura Judd, Thomas Hanisco, Benjamin Menetrier, Cory Martin, Daniel Holdaway, Anna Shlyaeva, Dom Heinzeller, Steven Pawson, Thomas Auligne   +36 more
wiley   +1 more source

Lightweight 3D Dense Autoencoder Network for Hyperspectral Remote Sensing Image Classification. [PDF]

Sensors (Basel), 2023
Bai Y, Sun X, Ji Y, Fu W, Duan X.
europepmc   +1 more source

Evaluating Approximations of River Channel Shape Using a National Cross‐Section Database

Water Resources Research, Volume 62, Issue 5, May 2026.
Abstract Many hydrologic applications require basic information on the size and shape of river channels, but measuring cross section (XS) geometry in the field or via remote sensing can be costly and often provides only partial coverage. Given these challenges, we capitalized upon an existing data set of 46,971 XS from gaging stations to evaluate ...
C. J. Legleiter, P. J. Kinzel
wiley   +1 more source

SpectralMAE: Spectral Masked Autoencoder for Hyperspectral Remote Sensing Image Reconstruction. [PDF]

Sensors (Basel), 2023
Zhu L, Wu J, Biao W, Liao Y, Gu D.
europepmc   +1 more source

Detection of Heat and Drought Effects on the Photosynthetic Activity Using Solar‐Induced Chlorophyll Fluorescence and a Photochemical Reflectance Index in a Cool‐Temperate Larch Forest in Japan

Ecological Research, Volume 41, Issue 3, May 2026.
Solar‐induced chlorophyll fluorescence (SIF) and gross primary productivity decline at midday during a short heatwave in a tower site of a larch forest. High atmospheric vapor pressure deficit significantly reduced the photochemical reflectance index (PRI), light‐use efficiency (LUE), and canopy fluorescence emission efficiency (εF).
Tomoki Morozumi, Tomomichi Kato, Hideki Kobayashi, Yoshiyuki Takahashi, Hibiki M. Noda   +4 more
wiley   +1 more source

Non-Destructive Determination of Bayberry Sugar and Acidity by Hyperspectral Remote Sensing of Si-Sensor and Low-Cost Portable Instrument Development. [PDF]

Sensors (Basel), 2023
Wang J, Wu W, Tian S, He Y, Huang Y, Wang F, Zhang Y.   +6 more
europepmc   +1 more source