Results 111 to 120 of about 6,939 (213)

Mamba-ADR: adverse drug reaction detection from social-media using state-space regression model. [PDF]

Front Med Technol
Zhang S, Zhang T, Ma Y.
europepmc   +1 more source

Multi-scale feature fusion-based vision mamba for robust plant disease image classification on field-acquired plantdoc data. [PDF]

Front Plant Sci
Zhang S, Liu R.
europepmc   +1 more source

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures

Early exits (EEs) offer a promising approach to reducing computational costs and latency by dynamically terminating inference once a satisfactory prediction confidence on a data sample is achieved.
M. Nogales, M. Roveri, M. Gambella
core   +1 more source

Dynamic-Attentive Selective Mamba with Group-Aware Convolution for Wearable Sensor-Based Sports and Daily Activity Recognition. [PDF]

Sensors (Basel)
Li Z, Kang W.
europepmc   +1 more source

Toward smart agriculture: a hybrid mamba-transformer vision framework for plant disease detection. [PDF]

Front Plant Sci
Zhang Q, Zhao J, Cai YL, Liu K, Li Y.
europepmc   +1 more source

Vision Mamba: A Comprehensive Survey and Taxonomy

State Space Model (SSM) is a mathematical model used to describe and analyze the behavior of dynamic systems. This model has witnessed numerous applications in several fields, including control theory, signal processing, economics and machine learning ...
Zhang, Chenxu, Liu, Xiao, Zhang, Lei
core  

SAM-Mamba: A Two-Stage Change Detection Network Combining the Adapting Segment Anything and Mamba Models

Remote sensing change detection (RSCD) plays a crucial role in environmental monitoring, resource management, and land planning. However, remote sensing images typically involve multiple surface types, and the similarities and differences between these ...
Yutian Li, Erzhu Li, Lianpeng Zhang, Wei Liu, Xing Li   +4 more
core   +1 more source

Prediction of BDS-3 Satellite Clock Bias Based on the Mamba-LSTM Model. [PDF]

Sensors (Basel)
Cai Y, Yue H, Yuan T, Wu M.
europepmc   +1 more source

HC-Mamba: Vision MAMBA with Hybrid Convolutional Techniques for Medical Image Segmentation

Automatic medical image segmentation technology has the potential to expedite pathological diagnoses, thereby enhancing the efficiency of patient care.
Xu, Jiashu
core  

FreqMamba: Spatial-Frequency Fusion and State Space Sequence Modeling for Deepfake Detection. [PDF]

Sensors (Basel)
Li Z, Chen Y, Li M, Wang R, Liu H.
europepmc   +1 more source