Results 81 to 90 of about 4,775 (181)

Breast Ultrasound Image Segmentation Integrating Mamba-CNN and Feature Interaction

Sensors
The large scale and shape variation in breast lesions make their segmentation extremely challenging. A breast ultrasound image segmentation model integrating Mamba-CNN and feature interaction is proposed for breast ultrasound images with a large amount ...
Guoliang Yang, Yuyu Zhang, Hao Yang
doaj   +1 more source

Dual-Mamba-ResNet: A Novel Vision State Space Network for Aero-Engine Ablation Detection

Aerospace
With the rapid development of the aviation industry, engines operate under extreme conditions of high temperature, high pressure, and high vibration, making them prone to surface damage such as ablation. Ablation not only affects the structural integrity
Xin Wang, Hai Shu, Yaxi Xu, Qiang Fu, Jide Qian   +4 more
doaj   +1 more source

Integrating CNN and Mamba for Effective Time Series Forecasting

Journal of Applied Science and Engineering
Recently, Transformer-based models have achieved remarkable progress in time series forecasting, yet they still suffer from limitations in efficiency and scalability due to quadratic complexity.
Junliang Tao, Hongbing Wang, Li Cao, Chenhao Xie, CJian Li, Liang Zhou   +5 more
doaj   +1 more source

Interpretable vision mamba for SAR images classification

Frontiers in Neurorobotics
Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance.
Kaiming Zou, Ningbo He, Ningbo He, Leijun Yao, Jialin Li, Yongfeng Wang   +5 more
doaj   +1 more source

AutoMamba: Efficient Autonomous Driving Segmentation Model with Mamba

Sensors
Semantic segmentation for autonomous driving demands balancing high-fidelity perception with real-time latency. While Transformers achieve state-of-the-art results, their quadratic complexity bottlenecks high-resolution processing.
Haoran Sun, Zhensong Li, Shiliang Zhu
doaj   +1 more source

UU-Mamba: Uncertainty-aware U-Mamba for Cardiac Image Segmentation

2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR)
Biomedical image segmentation is critical for accurate identification and analysis of anatomical structures in medical imaging, particularly in cardiac MRI. Manual segmentation is labor-intensive, time-consuming, and prone to errors, highlighting the need for automated methods.
Ting Yu Tsai, Li Lin, Shu Hu 0001, Ming-Ching Chang, Hongtu Zhu, Xin Wang   +5 more
openaire   +2 more sources

ASYM: multimodal depression recognition via mamba-enhanced attentive feature fusion

Frontiers in Psychiatry
IntroductionDepression is a prevalent mental disorder with a severe global impact. Traditional interview-based assessments are limited by subjectivity, lengthy procedures, and unequal access to care.
Caijian Hua, Zhuofu Wen, Liuying Li, Xia Zhou   +3 more
doaj   +1 more source

3DSS-Mamba: 3D-Spectral-Spatial Mamba for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing
Hyperspectral image (HSI) classification constitutes the fundamental research in remote sensing fields. Convolutional Neural Networks (CNNs) and Transformers have demonstrated impressive capability in capturing spectral-spatial contextual dependencies.
Yan He, Bing Tu, Bo Liu 0020, Jun Li 0009, Antonio Plaza   +4 more
openaire   +3 more sources

Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting

New Mamba-based architecture.
Liang, Aobo, Jiang, Xingguo, Sun, Yan, Shi, Xiaohou, Li, Ke   +4 more
openaire   +2 more sources

Robust bearing fault diagnosis for rotating machinery under noisy and variable operating conditions using a Wavelet-Mamba Network. [PDF]

PLoS One
Cui D, Xie Z, Wang Z, Li X, Meng X.
europepmc   +1 more source