Results 101 to 110 of about 23,891 (225)
Cascaded Feature Fusion Grasping Network for Real-Time Robotic Systems
Grasping objects of irregular shapes and various sizes remains a key challenge in the field of robotic grasping. This paper proposes a novel RGB-D data-based grasping pose prediction network, termed Cascaded Feature Fusion Grasping Network (CFFGN ...
Hao Li, Lixin Zheng
core +1 more source
This randomized controlled trial found the true‐acupoint (TA) intervention to be superior to the sham‐acupoint (SA) intervention in improving motor recovery and neurological deficits post‐stroke. TA uniquely induces neuroplastic changes, evidenced by the modulation of default mode network dynamics and the promotion of gray matter plasticity in key ...
Xin Yu +9 more
wiley +1 more source
Semantic Evolution and Consistency Learning for Robust Malicious Network Traffic Detection
This paper proposes a semantic evolution and consistency network (SECN) for malicious traffic detection, modeling attack behaviors as temporally evolving semantics. By integrating dual‐level temporal representation and semantic consistency constraints, SECN achieves robust detection and strong generalization under encrypted, cross‐dataset, and unknown ...
Jing Yang, Wei Tan
wiley +1 more source
RUL Prediction of Rolling Bearings via Adaptive Multi‐Scale Feature Alignment and Semantic Fusion
An adaptive multi‐scale framework integrates denoising, feature fusion, and degradation‐stage‐driven alignment to suppress noise, capture local–global degradation patterns, and enable robust and accurate remaining useful life prediction. ABSTRACT Remaining useful life (RUL) prediction of rolling bearings is essential for intelligent maintenance and ...
Yuanyuan Wu, Ning Li
wiley +1 more source
The transmission line foreign body detection algorithm based on weighted spatial attention
IntroductionThe secure operation of electric power transmission lines is essential for the economy and society. However, external factors such as plastic film and kites can cause damage to the lines, potentially leading to power outages.
Yuanyuan Wang +7 more
doaj +1 more source
ECF-Net: Enhanced, Channel-Based, Multi-Scale Feature Fusion Network for COVID-19 Image Segmentation
Accurate segmentation of COVID-19 lesion regions in lung CT images aids physicians in analyzing and diagnosing patients’ conditions. However, the varying morphology and blurred contours of these regions make this task complex and challenging ...
Hongxing Yuan +6 more
core +1 more source
Exploring and Targeting the Connection of Iron and Copper Homeostasis to Neurodegenerative Diseases
Iron and copper dyshomeostasis, along with their interactions with key intrinsically disordered proteins (e.g., Aβ, tau, α‐synuclein) have a strong implication in the onset and progression of neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD), Prion diseases (PrDs), Huntington's disease (HD), Wilson's disease (WD),
Xin Liu +9 more
wiley +1 more source
Acute Lung Injury: From Molecular Circuits to System‐Level Therapeutics
This visual summary illustrates the paradigm shift from linear pathways to network medicine in ALI. Three interconnected circuits—innate immunity, immunometabolism, and cell death (PANoptosis)—drive disease progression under multiorgan crosstalk (gut–lung, brain–lung).
Yaoli Hou +10 more
wiley +1 more source
In response to the challenges of accurate identification and localization of garbage in intricate urban street environments, this paper proposes EcoDetect-YOLO, a garbage exposure detection algorithm based on the YOLOv5s framework, utilizing an intricate
Shenlin Liu +5 more
doaj +1 more source
Semantic segmentation of urban remote sensing images (URSIs) is crucial for the development of smart cities and the acceleration of urban information.
Yi Yan +4 more
core +1 more source

