Results 81 to 90 of about 5,835,263 (236)

Insulator Detection Method Using YOLO Combining Feature Reuse and Reconstruction [PDF]

open access: yesJisuanji gongcheng
To overcome challenges such as low generalization performance and difficulty in identifying insulators amidst complex backgrounds in deep learning-based insulator defect detection methods, this study introduces a novel method based on the You Only Look ...
Lulu YANG, Ping MA, Cong WANG, Xinkai LI, Yue MENG, Hongli ZHANG
doaj   +1 more source

Advancing Artificial Intelligence in Myopia Management: From Predicting Progression to Supporting Clinical Decisions

open access: yesMed Research, EarlyView.
The AI‐enabled multimodal framework for whole‐life myopia management. Graphical abstract illustrates the transition of myopia care from premyopia to myopia, high myopia, and pathologic myopia. Multimodal data, including demographic and refractive information, genetic, behavioral and environmental factors, ophthalmic imaging, and omics profiles, can be ...
Zewei Zhang   +6 more
wiley   +1 more source

An Anchor-free Detector Based on Residual Feature Enhancement Pyramid Network for UAV Vehicle Detection

open access: yes, 2021
Vehicle detection in Unmanned Aerial Vehicle (UAV) images is a challenging task because there are many small objects in UAV images, and the scale of objects varies greatly, which brings great difficulty to vehicle detection using existing algorithms ...
Xie, Jianghuan   +11 more
core   +1 more source

Early Longitudinal Brain Network Changes in Huntington's Disease Before Clinical Motor Onset

open access: yesMovement Disorders, EarlyView.
Abstract Background Longitudinal studies of seed‐based functional connectivity (SBFC) in young adult Huntington's disease gene‐expanded (HDGE) individuals are rare, and none, to our knowledge, have examined adult cohorts decades from predicted clinical motor diagnosis.
Michela Leocadi   +13 more
wiley   +1 more source

Pyramid style-attentional network for arbitrary style transfer

open access: yes
At present, the self-attention mechanism represented by the non-local network has been applied in style transfer widely. Models can achieve good style transfer effects by considering long-range dependencies between content images and style images while ...
Yang, Gaoming   +3 more
core   +1 more source

Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine

open access: yesMedicine Advances, EarlyView.
This review summarizes AI methods for biomedical imaging and clinical data analysis. Deep learning and multimodal models improve feature learning and diagnostic accuracy. Future progress requires explainable and generalizable AI for precision medicine.
Lifeng Li   +4 more
wiley   +1 more source

Repurposing antimicrobial agents for neuroprotection: Mechanisms, clinical potential, and challenges

open access: yesNeuroprotection, EarlyView.
Antimicrobial agents exert neuroprotective effects through modulation of interconnected pathways. Tetracyclines, macrolides, antimalarial agents, sulfones, and antiparasitic agents suppress neuroinflammation, oxidative stress, and apoptosis while preserving mitochondrial function and neurotransmission.
Mohammad Amin Manavi   +5 more
wiley   +1 more source

BCM‐YOLO: An improved YOLOv8‐based lightweight porcelain insulator defect detection model

open access: yesHigh Voltage
Porcelain insulator is an important component of power transmission systems, and its condition detection is essential to ensure safe operation of the power grid.
Feng Bin   +5 more
doaj   +1 more source

CPDF-Net: A Cascaded Pyramid Decomposition-Fusion Network for SAR Ship Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Precise identification of ship targets is crucial for marine situational awareness. Identifying ships in synthetic aperture radar images faces several challenges, including coherent speckle noise, intricate sea–land background interference, and ...
Kun Deng   +5 more
doaj   +1 more source

Schematic diagram of the enhanced feature pyramid structure.

open access: yes, 2023
EFPN represents our enhanced improvement of the feature pyramid. GALA represents our proposed global and local attention mechanism. C1-C4 represent the feature maps of different sizes extracted from the backbone network, respectively, and P1-P4 represent
Zequn Sun (9273518)   +4 more
core   +1 more source

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