Results 81 to 90 of about 13,981 (216)

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   +2 more sources

SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation

Remote Sensing
With the rapid advancement of deep learning techniques, side-scan sonar image segmentation has become a crucial task in underwater scene understanding.
Juan Lei, Huigang Wang, Liming Fan, Qingyue Gu, Shaowei Rong, Huaxia Zhang   +5 more
doaj   +1 more source

Protein-Mamba: Biological Mamba Models for Protein Function Prediction

CoRR
Protein function prediction is a pivotal task in drug discovery, significantly impacting the development of effective and safe therapeutics. Traditional machine learning models often struggle with the complexity and variability inherent in predicting protein functions, necessitating more sophisticated approaches.
Bohao Xu, Yingzhou Lu, Yoshitaka Inoue, Namkyeong Lee, Tianfan Fu, Jintai Chen   +5 more
openaire   +2 more sources

FreqMamba: A Frequency-Aware Mamba Framework with Group-Separated Attention for Hyperspectral Image Classification

Remote Sensing
Hyperspectral imagery (HSI), characterized by the integration of both spatial and spectral information, is widely employed in various fields, such as environmental monitoring, geological exploration, precision agriculture, and medical imaging ...
Tong Zhou, Jianghe Zhai, Zhiwen Zhang
doaj   +1 more source

StructMamba: Structured Harmonic and Temporal Music Analysis via Dual-Axis Mamba and Attention

IEEE Access
Modeling musical audio requires capturing hierarchical relationships between harmonic textures, rhythmic motifs, and long-range structural repetitions. Convolutional networks extract local features efficiently, while transformers provide global modeling,
Amit Kumar Bairwa, Siddhanth Bhat, Tanishk Sawant, Manoj Kumar Bohra   +3 more
doaj   +1 more source

DIMformer: A Dynamic Inverted Transformer With Mamba-Cross-Variable Linear Attention for Multivariate Time Series Forecasting

IEEE Access
Multivariate time series prediction has significant practical applications in the fields of finance, electricity and transportation. However, due to the characteristics of high dimensionality, non-stationarity, and complex cross-variable and cross-scale ...
Lin Zhu, Hongfa Liu
doaj   +1 more source

MHS-Mamba: A Multihierarchical Semantic Model for UAV Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) captured by uncrewed aerial vehicles (UAVs) is distinguished by superior spatial resolution and intricate spectral detail, with widespread applications in precise environmental monitoring, agricultural management, and biotic ...
Fengnian Zhao, Zhen Zhang, Lehao Huang, Yingming Hai, Zhitao Fu, Bo-Hui Tang   +5 more
doaj   +1 more source

MTSR: Mamba-Transformer Super-Resolution Model for Hyperspectral Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep learning-based methods, particularly Transformer-based approaches, have made remarkable achievements in hyperspectral image super-resolution (SR) tasks.
Zhihua Xie, Guohua Miao, Haolin Chang
doaj   +1 more source

HyM3S: Integrating Multiscale Spatial–Spectral Features With Sequence Modeling for Hyperspectral Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Transformer models have been widely adopted for hyperspectral image (HSI) classification due to their exceptional long-sequence modeling capabilities. However, the self-attention mechanism in Transformers incurs quadratic computational complexity, posing
Yin Chen, Shaoqun Qi, Luhe Wan, Chunlong Du, Zhiwei Lin, Ling Zhu, Xiaona Yu   +6 more
doaj   +1 more source

Joint Classification of Hyperspectral and LiDAR Data Based on Dynamic Sparse-Dense Transformer and Mamba

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) provides rich spatial-spectral information, while light detection and ranging (LiDAR) data offers complementary elevation details.
Zhe Meng, Zixin Yang, Feng Zhao
doaj   +1 more source