Results 151 to 160 of about 49,813 (252)

A Comprehensive Review of Traditional and Machine Learning‐Assisted Diffuse Optical Spectroscopy and Imaging Techniques for Dermatological Applications

open access: yesAdvanced Photonics Research, Volume 7, Issue 5, May 2026.
This review critically examines clinical studies on both conventional and machine learning (ML)‐integrated diffuse optical spectroscopy and imaging methods for dermatological applications, with a primary focus on the past decade and inclusion of earlier foundational work where appropriate.
Iftak Hussain   +7 more
wiley   +1 more source

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

open access: yesEngineering 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   +5 more
wiley   +1 more source

Multiscale Feature-Learning with a Unified Model for Hyperspectral Image Classification. [PDF]

open access: yesSensors (Basel), 2023
Arshad T   +5 more
europepmc   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

open access: yesMicroscopy 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   +5 more
wiley   +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

open access: yesEcological 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   +4 more
wiley   +1 more source

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