Results 51 to 60 of about 13,981 (216)

Dynamic Vision Mamba

CoRR
Mamba-based vision models have gained extensive attention as a result of being computationally more efficient than attention-based models. However, spatial redundancy still exists in these models, represented by token and block redundancy. For token redundancy, we analytically find that early token pruning methods will result in inconsistency between ...
Mengxuan Wu, Zekai Li, Zhiyuan Liang, Moyang Li, Xuanlei Zhao, Samir Khaki, Zheng Zhu, Xiaojiang Peng, Konstantinos N. Plataniotis, Kai Wang 0036, Wangbo Zhao, Yang You 0001   +11 more
openaire   +2 more sources

Exploring Prison Safety: Insights From Two Decades of HM Inspectorate of Prisons Surveys in England and Wales

The Howard Journal of Crime and Justice, EarlyView.
ABSTRACT This article presents an analysis of surveys conducted by HM Inspectorate of Prisons for England and Wales of 87,449 adult male prisoners between the years 2000 and 2020. It describes the survey methodology and focuses on the 13,025 people who reported feeling unsafe.
Nicholas Hardwick, Kim Reising, Rosie Meek   +2 more
wiley   +1 more source

SambaMixer: State of Health Prediction of Li-Ion Batteries Using Mamba State Space Models

IEEE Access
The state of health (SOH) of a Li-ion battery is determined by complex interactions among its internal components and external factors. Approaches leveraging deep learning architectures have been proposed to predict the SOH using convolutional networks ...
Jose Ignacio Olalde-Verano, Sascha Kirch, Clara Perez-Molina, Sergio Martin   +3 more
doaj   +1 more source

Mamba‐Based Deep Learning Model for Automated Periapical Index Classification Using Periapical Radiographs and Clinical Metadata

International Endodontic Journal, EarlyView.
ABSTRACT Aim Apical periodontitis (AP) diagnosis primarily relies on periapical radiographs (PRs) and the Periapical Index (PAI) scoring system. However, existing automated approaches often simplify PAI into binary categories or ignore essential clinical metadata, limiting diagnostic performance and applicability.
Jiyun Lee, Yudam Park, Sunil Kim, Ikbeom Jang   +3 more
wiley   +1 more source

Hi-Mamba: Hierarchical Mamba for Efficient Image Super-Resolution

CoRR
State Space Models (SSM), such as Mamba, have shown strong representation ability in modeling long-range dependency with linear complexity, achieving successful applications from high-level to low-level vision tasks. However, SSM's sequential nature necessitates multiple scans in different directions to compensate for the loss of spatial dependency ...
Junbo Qiao, Jincheng Liao, Wei Li 0002, Yulun Zhang 0001, Yong Guo, Yi Wen, Zhangxizi Qiu, Jiao Xie, Jie Hu 0021, Shaohui Lin   +9 more
openaire   +4 more sources

A seismic random noise suppression method based on CNN-Mamba

Meitian dizhi yu kantan
BackgroundSeismic random noise suppression is recognized as a key step to improve the quality of seismic data. Data-driven deep learning provides an intelligent solution for the noise suppression.
Xiujuan WEI, Xingye LIU, Huailai ZHOU
doaj   +1 more source

Smart Design: Integrating Artificial Intelligence and Gene Editing for Advanced mRNA Therapeutics

MedComm – Biomaterials and Applications, Volume 5, Issue 3, September 2026.
The challenges of mRNA therapy and the application of artificial intelligence and gene editing in the field of mRNA drugs. ABSTRACT Artificial intelligence (AI) and gene editing are increasingly being applied to the design and evaluation of mRNA therapeutics.
Haixing Shi, Shengbin Liu, Danni Dai, Shanhui Jiang, Tingchen Tian, Zhenyi Niu, Zhongzheng Xiang, Chaoyu Zou, Fang Liu, Xue Tang, Xin Jiang, Xiangrong Song   +11 more
wiley   +1 more source

MCST-Mamba: Multivariate Mamba-Based Model for Traffic Prediction

GLOBECOM 2025 - 2025 IEEE Global Communications Conference
Submitted to the Communications Software and Multimedia track of the 2025 IEEE Global Communications ...
Mohamed Hamad, Mohamed Mabrok, Nizar Zorba   +2 more
openaire   +2 more sources

Bitemporal Remote Sensing Change Detection With State-Space Models

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Change detection in very-high-resolution remote sensing images has gained significant attention, particularly with the rise of deep learning techniques such as convolutional neural networks and Transformers.
Lukun Wang, Qihang Sun, Jiaming Pei, Muhammad Attique Khan, Maryam M. Al Dabel, Yasser D. Al-Otaibi, Ali Kashif Bashir   +6 more
doaj   +1 more source

Physically Consistent Reconstruction of Sparse Scatterometer Ocean Surface Wind Fields Based on Physics‐Guided Generative Learning

Geophysical Research Letters, Volume 53, Issue 16, 28 August 2026.
Abstract Accurate and timely reconstruction of sea surface wind fields from available scatterometer‐derived observations is essential for rapid‐response forecasting and operational oceanography. In this study, we explore a novel physics‐guided generative learning network to reconstruct sea surface wind vector fields directly from sparse scatterometer ...
Ran Bo, Zengliang Zang, Zeming Zhou, Pinglv Yang, Huadong Du, Xiaofeng Zhao, Qian Li, Yangfan Hu   +7 more
wiley   +1 more source