Results 71 to 80 of about 6,939 (213)
BAST-Mamba: Binaural Audio Spectrogram Mamba Transformer for binaural sound localization [PDF]
NeurocomputingAccurate 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 +3 more
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MSV-Mamba: A Multiscale Vision Mamba Network for Echocardiography Segmentation
IEEE Transactions on Computational Social SystemsUltrasound 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 +5 more
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Kinetic-Mamba: Mamba-Assisted Predictions of Stiff Chemical Kinetics
CoRRAccurate 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 +3 more
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, 2011 This short note aims at explaining how some measures are implemented in the Mamba software ...
Beucher, Serge
core +1 more source
TSC-Mamba: Adaptive Decomposition and Channel Interaction Fusion for Time Series Forecasting
MathematicsMultivariate time series forecasting (TSF) is a fundamental task in intelligent systems, yet accurate and efficient modeling remains challenging under high dimensionality, non-stationarity, and complex cross-variate dependencies.
Chenjie Zhao, Xiaobo Wang, Ling Zhang
doaj +1 more source
Protein-Mamba: Biological Mamba Models for Protein Function Prediction
CoRRProtein 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 +5 more
openaire +2 more sources
High-Frequency Refined Mamba with Snake Perception Attention for More Accurate Crack Segmentation
BuildingsCracks are vital warning signs to reflect the structural deterioration in concrete constructions and buildings. However, their diverse and complex morphologies make accurate segmentation challenging.
Haibo Li, Lingkun Chen, Tao Wang
doaj +1 more source
Sleep Research, Volume 3, Issue 2, Page 79-82, June 2026.No abstract is available for this article.
wiley +1 more source
Mamba-based spatial-spectral fusion network for hyperspectral unmixing
Journal of King Saud University: Computer and Information SciencesHyperspectral unmixing (HU) is a critical technique in hyperspectral image (HSI) analysis, aimed at decomposing mixed pixels into a set of spectral signatures (endmembers) and their corresponding abundance values.
Yuquan Gan, Jingtao Wei, Mengmeng Xu
doaj +1 more source
TRANSFORMER VS. MAMBA AS SKIN CANCER CLASSIFIER: PRELIMINARY RESULTS
KPI Science NewsBackground: Skin cancer is a deadly disease that takes dozens of thousands of lives yearly. The key element of successful treatment of it is early detection. However, invasive detection methods are not always feasible.
Владислав Нікітін +1 more
doaj +1 more source