Results 51 to 60 of about 4,775 (181)

Contrastive Prototype Clustering for Multimodal Remote Sensing Data Based on Spectral–Spatial Cross Mamba

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
With the increasing diversity of remote sensing (RS) data sources, joint clustering of multimodal RS data demonstrates tremendous potential in Earth observation applications by aggregating multisource information without relying on labeled data. Although
Li Lv, Zhenyang Xie, Hongmin Gao, Shufang Xu, Zhenzhen Li, Haihua Xie, Dongxiao Liu   +6 more
doaj   +1 more source

R3Net: Recursive Residual Refinement Network Architecture for Decoder‐Free Medical Image Segmentation

Precision Radiation Oncology, Volume 10, Issue 3, Page 319-332, September 2026.
We propose R3Net, a decoder‐free medical image segmentation framework that recursively refines multiscale representations within the encoder using residual pathways. R3Net achieves competitive accuracy with reduced model complexity and improved computational efficiency across multiple medical imaging modalities.
Jing Huang, Yongkang Zhao, Yuhan Li, Zhitao Dai, Cheng Chen, Qiying Lai   +5 more
wiley   +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

Precise delineation of radiation targets for thoracic tumors in the immunotherapy era: From immune mechanisms to clinical practice

Precision Radiation Oncology, Volume 10, Issue 3, Page 371-387, September 2026.
RT‐immunotherapy synergy for thoracic tumors relies on precise target delineation to protect immune components. IFI, reduced volumes, and optimized positioning minimize damage, while multimodal imaging, DL, PBT, and FLASH‐RT enhance control. These innovations shift RT to an immune‐centric model, improving lung and esophageal cancer outcomes.
Xiaoying Chen, Minxiao Yi, Yu Deng, Qian Shen   +3 more
wiley   +1 more source

ПОРІВНЯЛЬНИЙ АНАЛІЗ МЕТОДІВ ГЛИБОКОГО ТА МАШИННОГО НАВЧАННЯ ДЛЯ ВИЯВЛЕННЯ МЕРЕЖЕВИХ ВТОРГНЕНЬ

Кібербезпека: освіта, наука, техніка
У статті представлено результати комплексного порівняльного дослідження шести методів машинного та глибокого навчання для задачі багатокласової класифікації мережевих атак.
Володимир Рихва, Ганна Солодовник   +1 more
doaj   +1 more source

A Deep Learning-Based Solution to the Class Imbalance Problem in High-Resolution Land Cover Classification

Remote Sensing
Class imbalance (CI) poses a significant challenge in machine learning, characterized by a substantial disparity in sample sizes between majority and minority classes, leading to a pronounced “long-tail effect” in statistical distributions and subsequent
Pengdi Chen, Yong Liu, Yuanrui Ren, Baoan Zhang, Yuan Zhao   +4 more
doaj   +1 more source

YOLO-BSMamba: A YOLOv8s-Based Model for Tomato Leaf Disease Detection in Complex Backgrounds

Agronomy
The precise identification of diseases in tomato leaves is of great importance for precise target pesticide application in a complex background scenario. Existing models often have difficulty capturing long-range dependencies and fine-grained features in
Zongfang Liu, Xiangyun Guo, Tian Zhao, Shuang Liang   +3 more
doaj   +1 more source

Locally Adaptive Mamba and Multi-Scale Feature Enhancement for Optical Remote Sensing Image Change Detection

Remote Sensing
Within the domain of Earth observation, tracking terrestrial transitions via high-resolution optical data plays a fundamental role. Nevertheless, current methods face critical challenges, including the difficulty in collaborative modeling of local ...
Mingxuan Ding, Qirong Zhou, Qiaolin Ye, Le Sun   +3 more
doaj   +1 more source

A CNN–Mamba-Based Method for Visual Tire–Road Friction Potential Estimation Under Low-Excitation Variable Working Conditions

Vehicles
The road surface adhesion coefficient is a key parameter affecting the dynamic control and driving safety of vehicles. Addressing the limitations of vehicle dynamics-based estimation methods under low-excitation conditions, this paper proposes a vision ...
Ximeng Wu, Yaheng Han, Zhi Li, Fang Liang, Jiandong Zhu   +4 more
doaj   +1 more source