Results 61 to 70 of about 13,981 (216)

DB-YOLO: A Dual-Branch Parallel Industrial Defect Detection Network

Sensors
Insulator defect detection in power inspection tasks faces significant challenges due to the large variations in defect sizes and complex backgrounds, which hinder the accurate identification of both small and large defects.
Ziling Fan, Yan Zhao, Chaofu Liu, Jinliang Qiu   +3 more
doaj   +1 more source

Disentangling Internal Tides From Balanced Motions With Deep Learning and Surface Field Synergy

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract A fundamental challenge in ocean dynamics is disentangling balanced motions and internal waves. Extracting internal tidal (IT) imprints from surface data is a central part of this challenge. Traditional harmonic analysis fails under strong incoherence and poor temporal sampling, as in global satellite observations.
Han Wang, Jeffrey Uncu, Kaushik Srinivasan, Nicolas Grisouard   +3 more
wiley   +1 more source

Mamba-based spatial-spectral fusion network for hyperspectral unmixing

Journal of King Saud University: Computer and Information Sciences
Hyperspectral unmixing (HU) is a critical technique in hyperspectral image (HSI) analysis, aimed at decomposing mixed pixels into a set of spectral signatures (endmembers) and their corresponding abundance values.
Yuquan Gan, Jingtao Wei, Mengmeng Xu
doaj   +1 more source

GeoMamba: Toward Efficient Geography-Aware Sequential POI Recommendation

IEEE Access
“Where to go next” is the fundamental problem in sequential point-of-interest (POI) recommendation, which takes as input the individual check-in history, mines the dynamic preference and suggests the expected POI for the next step behavior.
Jiubing Chen, Haoyu Wang, Jianxin Shang
doaj   +1 more source

Graph Mamba: Towards Learning on Graphs with State Space Models [PDF]

Knowledge Discovery and Data Mining
Graph Neural Networks (GNNs) have shown promising potential in graph representation learning. The majority of GNNs define a local message-passing mechanism, propagating information over the graph by stacking multiple layers.
Ali Behrouz, Farnoosh Hashemi
semanticscholar   +1 more source

FS‐Mamba: Feature‐wise scanning Mamba UNet for automatic image segmentation in liver tumor radiotherapy

Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background Medical image segmentation is fundamental to radiotherapy planning, yet accurate delineation of organs at risk and tumor targets remain challenging due to anatomical variability and low soft‐tissue contrast in CT images. Purpose To develop a lightweight, high‐precision automatic segmentation network that meets the dual clinical ...
Peijun Yin, Xueren Zhang, Xin Liu, Zekun Jiang, Qingtao Qiu, Yong Yin, Zhenjiang Li   +6 more
wiley   +1 more source

Efficient low‐dose CT image enhancement using MobileMamba‐UNet with wavelet‐enhanced long‐range modeling

Journal of Applied Clinical Medical Physics, Volume 27, Issue 7, July 2026.
Abstract Background Deep learning has become a dominant paradigm for low‐dose computed tomography (LDCT) image reconstruction. Nevertheless, existing approaches still struggle to simultaneously achieve accurate structural detail preservation and computational efficiency, particularly when handling long‐range contextual dependencies. Purpose To design a
Jianfang Li, Haiyan Liu, Xiaoli Wang, Jianshu Hong   +3 more
wiley   +1 more source

YOLOv5-MDS: Target Detection Model for PCB Defect Inspection Based on YOLOv5 Integrated With Mamba Architecture

IEEE Access
The Printed Circuit Board (PCB), which serves as the foundational component of numerous electronic devices, exhibits a complex relationship between its quality and the lifespan and performance of those products.
Deming Guo, Qi Xi, Long Zhang, Jing Wang, Yilong Ye, Ziyi Zeng   +5 more
doaj   +1 more source

Enhancing Long-Term Forecasting Stability in Smart Grids: A Hybrid Mamba-LSTM-Attention Framework

Energies
Accurate multivariate long-term time series forecasting (LTSF) is critical for smart grid operations. However, non-stationary distribution shifts frequently induce compounding error accumulation in conventional architectures.
Fusheng Chen, Chong Fo Lei, Te Guo, Chiawei Chu   +3 more
doaj   +1 more source

Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management
In the information retrieval (IR) area, dense retrieval (DR) models use deep learning techniques to encode queries and passages into embedding space to compute their semantic relations. It is important for DR models to balance both efficiency and effectiveness.
Hanqi Zhang, Chong Chen 0001, Lang Mei, Qi Liu 0071, Jiaxin Mao   +4 more
openaire   +2 more sources