Results 111 to 120 of about 79,319 (254)

Domain engineered gallium oxide phototransistors enabling intelligent ultraviolet vision with dynamic gating

InfoMat, EarlyView.
Single‐domain Si‐doped β‐Ga2O3 thin films grown on off‐axis sapphire eliminate domain boundaries, improving transport and photogating. Gate‐pulse modulation suppresses persistent photoconductivity, yielding ultrafast response and high detectivity. Integrated into a 24 × 24 array, the devices enable high frame rate DUV imaging and energy‐efficient ...
Jae Young Kim, Byungsoo Kim, Hee A Kim, Gi Baek Nam, Hyuk Jin Kim, Yoon Jung Lee, Seung Ju Kim, Suin Yi, Yongjo Park, Ho Won Jang   +9 more
wiley   +1 more source

Intelligent Diagnosis of Concrete Defects Based on Improved Mask R-CNN

Applied Sciences
With the rapid development of artificial intelligence, computer vision techniques have been successfully applied to concrete defect diagnosis in bridge structural health monitoring. To enhance the accuracy of identifying the location and type of concrete
Caiping Huang, Yongkang Zhou, Xin Xie
doaj   +1 more source

Deep Learning Integration in Optical Microscopy: Advancements and Applications

Microscopy Research and Technique, EarlyView.
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

Leveraging deep semantic segmentation for assisted weed detection

Journal of Agricultural Engineering
In agriculture, it is crucial to identify and control weeds as these plant species pose a significant threat to the growth and development of crops by competing for vital resources such as nutrients, water, and light.
Francisco Garibaldi-Márquez, Gerardo Flores, Luis M. Valentín-Coronado   +2 more
doaj   +1 more source

Clinical Applications of Electrical Conductivity Imaging Using MRI

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Magnetic resonance imaging (MRI) has emerged as a noninvasive technique for probing the electrical properties of biological tissues: electrical conductivity and relative permittivity. This review focuses on the electrical conductivity and provides a comprehensive overview of applications across both low‐ and high‐frequency regimes.
Stefano Mandija, Khin Khin Tha, Nitish Katoch, Cihan Göksu, Ulrich Katscher, Rosalind Sadleir, Kyu‐Jin Jung, Jierong Luo, Ilias I. Giannakopoulos, Dong‐Hyun Kim, Karin Shmueli, Riccardo Lattanzi, Yusuf Ziya Ider, Axel Thielscher, Cornelis van den Berg   +14 more
wiley   +1 more source

Individual Tree Crown Delineation Using Airborne LiDAR Data and Aerial Imagery in the Taiga–Tundra Ecotone

Remote Sensing
The circumpolar Taiga–Tundra Ecotone significantly influences the feedback mechanism of global climate change. Achieving large-scale individual tree crown (ITC) extraction in the transition zone is crucial for estimating vegetation biomass in the ...
Yuanyuan Lin, Hui Li, Linhai Jing, Haifeng Ding, Shufang Tian   +4 more
doaj   +1 more source

Benchmarking Hybrid CNN‐Transformer Versus Pure Transformer Architectures for Accelerated Hyperpolarized 129Xe MRI Reconstruction

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Hyperpolarized 129Xe MRI faces technical challenges including low signal‐to‐noise ratio and breath‐hold constraints. Current literature focuses on proprietary deep learning methods or image‐domain enhancements. Purpose To present a comprehensive evaluation of transformer and hybrid CNN‐transformer architectures integrating dual ...
Ramtin Babaeipour, Matthew S. Fox, Grace Parraga, Alexei Ouriadov   +3 more
wiley   +1 more source

Desertification Risk: Bibliometric Analysis and Future Research Directions

Land Degradation &Development, EarlyView.
ABSTRACT Desertification, driven by climatic and anthropogenic factors, is one of the most pressing global environmental challenges, causing significant economic, ecological, and social consequences. A bibliometric analysis was performed to identify research trends and gaps in the desertification risk topic.
Fatima‐Ezzahrae Imam, Daniela Smiraglia, Antonio Pulina, Francesca Assennato, Elisabetta Raparelli, Giovanna Seddaiu   +5 more
wiley   +1 more source

Rock Particle Segmentation Using Mask R-CNN

Identification and segmentation of rock particles is very important in geology, mining, engineering construction, and environmental monitoring. Traditional methods for recognizing the rock particle characteristics are time-consuming, labor-intensive, and limited by the geographical scope of the sampling sites, which makes it more difficult to represent
Fiyinfoba Ogunkeye, Liqun Shan, Xiali Hei   +2 more
openaire   +1 more source

Single‐Shot Full‐Stokes Analysis of Partially‐Polarized Light With a Photonic Deep Random Neural Network

Laser &Photonics Reviews, EarlyView.
Photonic neural networks are emerging as a powerful tool for analyzing light. The article reports a photonic deep random neural network that performs single‐shot low‐latency measurements of the state and degree of polarization with high accuracy. Using only a stack of glass diffusers on top of a small camera sensor, this neuromorphic polarization ...
Alessandro Petrini, Claudio Conti, Davide Pierangeli   +2 more
wiley   +1 more source