Results 61 to 70 of about 4,775 (181)

MHSNet: A Multi-Scale Hidden State Interaction Network for Fault Diagnosis of Rotating Machinery

Tsinghua Science and Technology
The rotating machinery system consists of several key components such as bearings and gears. The operating condition of the bearings directly affects equipment safety and production efficiency.
Fan Zhang, Zhaoqi Li, Yao Cheng, Yan Yang, Yufei Han, Cai Yi, Tianrui Li, Jingke Yan, Likai Dong, Weihua Zhang   +9 more
doaj   +1 more source

Cascaded Fusion of Convolutional Neural Network and Multi-Scale Attention-Enhanced Mamba for Optical-Synthetic Aperture Radar Multitask Change Detection

Engineered Science
Change detection (CD) between optical and synthetic aperture radar (SAR) remote sensing images is a fundamental task in image interpretation. The Mamba has been introduced into CD due to its global modeling capability with linear complexity; but its ...
Tonggen Yang, Liang Huang, Bo-Hui Tang, Man Zhang, Siming Pu   +4 more
doaj   +1 more source

BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization [PDF]

Neurocomputing
Accurate sound localization in reverberant environments is essential for human auditory perception. Recently, Convolutional Neural Networks (CNNs) have been used to model the binaural human auditory pathway. However, CNNs face limitations in capturing global acoustic features.
Sheng Kuang, Jie Shi 0006, Kiki van der Heijden, Siamak Mehrkanoon   +3 more
openaire   +3 more sources

Deep learning for speech enhancement: architectures, paradigms, and emerging trends

Научно-технический вестник информационных технологий, механики и оптики
A systematic review of modern neural network methods for Speech Enhancement is presented, aimed at improving speech intelligibility and quality under acoustic distortions.
D. V. Ivanko
doaj   +1 more source

Text-Guided Contrastive Mamba for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification is challenging due to their high spectral complexity and the need to model long-range dependencies. Although contrastive learning has shown promise, most existing approaches rely on convolutional neural networks ...
Baokai Zu, Zhengrui Yang, Yafang Li, Hongyuan Wang, Jianqiang Li, Ziping He   +5 more
doaj   +1 more source

CIR-SSM: A Cross and Inter Resolution State-Space Model for Underwater Image Enhancement

Applied Sciences
Underwater images often suffer from strong color casts, low contrast, and blurred textures. It is observed that low resolution can provide globally correct color, so low-resolution priors can guide high-resolution correction.
Fengxian Liu, Ning Ye, Haitao Wang
doaj   +1 more source

Spatial–Temporal–Spectral Mamba With Sparse Deformable Token Sequence for Enhanced MODIS Time-Series Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Although moderate resolution imaging spectroradiometer (MODIS) time-series data are critical for supporting dynamic, large-scale land cover land use classification, it is a challenging task to capture the subtle class signature information due to key ...
Zack Dewis, Zhengsen Xu, Yimin Zhu, Motasem Alkayid, Mabel Heffring, Lincoln Linlin Xu   +5 more
doaj   +1 more source

MSV-Mamba: A Multiscale Vision Mamba Network for Echocardiography Segmentation

IEEE Transactions on Computational Social Systems
Ultrasound imaging frequently encounters challenges, such as those related to elevated noise levels, diminished spatiotemporal resolution, and the complexity of anatomical structures. These factors significantly hinder the model's ability to accurately capture and analyze structural relationships and dynamic patterns across various regions of the heart.
Xiaoxian Yang, Qi Wang, Kaiqi Zhang, Ke Wei, Jun Lyu, Lingchao Chen   +5 more
openaire   +3 more sources

Mamba Sequence Modeling Meets Model Predictive Control

IEEE Open Journal of Control Systems
In this paper, we consider the design of Model Predictive Control (MPC) algorithms based on Mamba neural networks. Mamba is a neural network architecture capable of sub-quadratic computational scaling in sequence length with state-of-the-art modeling ...
M. Cevaal, T.O. de Jong, M. Lazar
doaj   +1 more source

Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics

CoRR
Accurate chemical kinetics modeling is essential for combustion simulations, as it governs the evolution of complex reaction pathways and thermochemical states. In this work, we introduce Kinetic-Mamba, a Mamba-based neural operator framework that integrates the expressive power of neural operators with the efficient temporal modeling capabilities of ...
Additi Pandey, Liang Wei, Hessam Babaee, George Em Karniadakis   +3 more
openaire   +3 more sources