Results 41 to 50 of about 740 (176)
Abstract Accurate Numerical Weather Prediction (NWP) is of paramount importance for global climate change response and sustainable development. Although numerical models such as the Weather Research and Forecasting (WRF) model are widely applied in operational forecasting, they exhibit significant systematic biases under complex atmospheric conditions,
Juncheng Wu +3 more
wiley +1 more source
Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation
The vibration signal acquired by a single sensor contains limited information and is easily interfered by noise signals, resulting in the inability to fully express the operating characteristics and state of a gearbox.
Fengyun Xie +4 more
doaj +1 more source
This minireview discusses solar‐driven in situ H2O2 production using metal‐free g‐C3N4 photocatalysts for environmental remediation. It highlights reaction mechanisms, synthesis, and material engineering approaches that enhance light absorption, charge separation, and selectivity, enabling efficient pollutant degradation, biomass oxidation, and ...
Zunaira Muhammad +3 more
wiley +1 more source
Analyzing of dynamic characteristics for discrete S-PCNN
Pulse Coupled Neutral Network (PCNN) is a new artificial neural network with biological mechanism, and has been widely applied in many areas such as image processing and so on, but its dynamic characteristics have not been analyzed effectively. In this paper, the dynamic characteristics about pulse period, refractory period and capture period in a ...
Ren Can Nie +3 more
openaire +1 more source
Multimodal Medical Image Fusion in Spatial‐Transformed Domains
Fusion of multimodal medical images has become an essential reference for clinical diagnosis and a prominent topic in information fusion research. However, balancing the fusion performance with computational efficiency remains a challenging issue. In this paper, we propose an effective and efficient hybrid fusion method for multimodal medical images ...
Yisheng Rong +5 more
wiley +1 more source
This paper presents M‐PointNet, a novel deep learning model for 3D intracranial aneurysm classification and segmentation, addressing challenges of limited training data and complex geometries through an enhanced encoder‐decoder architecture, multi‐layer embedding, and deep supervision.
Jiaqi Wang +4 more
wiley +1 more source
YOLO‐O: An Improved YOLO‐Based Framework for Vehicle Detection
This study proposes a YOLO‐O model, based on YOLOv7, for improved detection of tiny vehicles on roads. Enhancements like residual networks, Squeeze and Excitation Network (SENet), coordinate attention, and SIoU regression loss boost precision, especially for small objects.
Rabbia Mahum +4 more
wiley +1 more source
Time domain characteristic analysis of non-coupled PCNN
Abstract The Pulse-Coupled Neural Network (PCNN) model is a multi-parameter neural network, the input-output characteristics are greatly affected by parameters setting. The traditional non-coupled PCNN model, which only uses the gray value as input, results in a certain inhibition of the network's pulse firing characteristics.
Xiangyu Deng, HaiYue Yu, XiKai Huang
openaire +1 more source
This paper presents MFII‐Net, a robust driver facial expression recognition framework designed for real‐world driving conditions. By integrating multi‐scale feature interaction, contrast‐boosted channel attention, and illumination balance, MFII‐Net achieves state‐of‐the‐art accuracy and stability under occlusion, pose variation, and lighting changes ...
Yang Yanzhao +3 more
wiley +1 more source
An Algorithm to Generate a Weighted Network Voronoi Diagram Based on Improved PCNN
The network Voronoi diagram has been extensively applied in many fields, such as influence area construction, location selection and urban planning, owing to its high accuracy and validity in space division.
Xiaomin Lu, Haowen Yan
doaj +1 more source

