Results 211 to 220 of about 6,295,711 (294)

Integrating machine learning, deep learning, and image analysis for seed species classification

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise The growing demand for wildflower seeds in ecological restoration requires reliable species identification, yet current market products often contain heterogeneous species. As seed identification is labor‐intensive and requires advanced botanical knowledge, we evaluated multiple segmentation and classification approaches to determine ...
Jonathan Ashworth   +6 more
wiley   +1 more source

Petal to the metal: The slow road to automating large‐scale phenology labeling for herbarium specimens

open access: yesApplications in Plant Sciences, EarlyView.
Abstract Premise Herbarium specimens represent critical historical records of plant phenology, yet automating annotation of reproductive structures remains challenging given the diversity of floral morphologies, specimen age and quality, and image quality.
Erin L. Grady   +6 more
wiley   +1 more source

Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications

open access: yesAdvanced Physics Research, EarlyView.
Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu   +10 more
wiley   +1 more source

Flipped Learning

open access: yes
Huuskonen Annukka   +3 more
openaire   +3 more sources

Arthroscopic Images Predict Tendon Integrity After Arthroscopic Rotator Cuff Repair Using a Deep Learning Model

open access: yesArthroscopy, EarlyView.
Purpose To assess the feasibility of a deep learning model for predicting early structural integrity after arthroscopic rotator cuff repair (ARCR) using intraoperative arthroscopic images obtained after the double‐row bridging repair technique. Methods This retrospective study included patients who underwent ARCR between January 2016 and June 2024 ...
Kuan‐Ting Wu   +5 more
wiley   +1 more source

Leveraging Big Multitemporal Multisource Satellite Data and Artificial Intelligence for the Detection of Complex and Invisible Features: The Case of Extensive Irrigation Mapping

open access: yesArchaeological Prospection, EarlyView.
ABSTRACT The detection of buried or obscured archaeological features remains a central challenge in landscape archaeology, particularly in the irrigated floodplains of Mesopotamia where levees and canals formed the basis of complex agrarian systems. This study presents a deep learning–based approach for the large‐scale, automated detection of ancient ...
Nazarij Buławka   +4 more
wiley   +1 more source

High‐Resolution Deep Learning Dixon Magnetic Resonance Imaging of the Sacroiliac Joints Is Noninferior to Standard Magnetic Resonance Imaging in Patients With Suspected Axial Spondyloarthritis

open access: yesArthritis &Rheumatology, EarlyView.
Objective To compare the multisequence standard magnetic resonance imaging (sMRI) protocol of the sacroiliac joints with a single high‐resolution deep learning–reconstructed Dixon sequence (DL‐Dixon) in patients with suspected axial spondyloarthritis (axSpA). Methods Seventy‐six patients with chronic low back pain and suspected axSpA underwent clinical,
Dominik Deppe   +12 more
wiley   +1 more source

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