Results 101 to 110 of about 5,581 (264)

TCP-SSM: Efficient Vision State Space Models with Token-Conditioned Poles

State Space Models (SSMs) have emerged as a compelling alternative to attention models for long-range vision tasks, offering input-dependent recurrence with linear complexity. However, most efficient SSM variants reduce computation cost by modifying scan routes, resolutions, or traversal patterns, while largely leaving the recurrent dynamics implicit ...
Shoouri, Sara, Taba, Morteza Tavakoli, Kim, Hun-Seok   +2 more
openaire   +2 more sources

SSM-CGM: Interpretable State-Space Forecasting Model of Continuous Glucose Monitoring for Personalized Diabetes Management

CoRR
Shakson Isaac and Yentl Collin contributed ...
Shakson Isaac, Yentl Collin, Chirag J. Patel   +2 more
openaire   +2 more sources

SI-Mamba: High-Resolution Sea Ice Recognition via RB-NDI Guided State-Space Model

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Sea ice recognition is of great significance for reflecting climate change and ensuring ship navigation safety. In recent years, many deep learning-based methods have been proposed and applied to the segmentation and recognition of sea ice regions ...
Wenjun Hong, Zhanchao Huang, Yongke Yang, Luping You, Junchao Cai, Jiajun Zhou, Weiwang Guan, Hua Su   +7 more
doaj   +1 more source

Roadway traffic crash prediction using a state-space model based support vector regression approach.

PLoS ONE, 2019
Conventional traffic crash analyzing methods focus on identifying the relationship between traffic crash outcomes and impact risk factors and explaining the effects of risk factors, which ignore the changes of roadway systems and can lead to inaccurate ...
Chunjiao Dong, Kun Xie, Xubin Sun, Miaomiao Lyu, Hao Yue   +4 more
doaj   +1 more source

Sequential Joint Dependency Aware Human Pose Estimation with State Space Model

In this paper, we present a sequential joint dependency aware model for monocular 2D-to-3D human pose estimation. While existing estimators leverage the (bi)directional joint dependency with graph convolutions and attention, we further propose to exploit
Yin, H., Han, Jungong, Han, J., Chen, Z., You, S., Yin, Hanxi, Chen, Zhixiang, You, Shaodi   +7 more
core   +1 more source

Molecular descriptor driven QSPR modeling of Papp, TEER and Efflux Ratio from Caco‐2 cells using machine learning for various phytochemicals

Journal of the Science of Food and Agriculture, EarlyView.
Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim, Rixing Cong, Jin‐Soo Park, Keunwan Park, Kyungsu Kang, Soon‐Mi Shim   +5 more
wiley   +1 more source

DSS-Mamba: Deformable Spatial–Spectral State-Space Model for Hyperspectral Land Cover Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
State-space models, particularly Mamba, have garnered significant attention from researchers owing to their efficient balance between computational efficiency and model performance, and they also provide a performance breakthrough for accurate land cover
Dehua Huo, Weida Zhan, Yueyi Han, Jinxin Guo, Depeng Zhu, Yu Chen, YiChun Jiang, Deng Han   +7 more
doaj   +1 more source

[18F]Fluorodeoxyglucose positron emission tomography ([18F]FDG PET) Characterizes Neurodegeneration Levels Across the α‐Synucleinopathy Continuum

Movement Disorders, EarlyView.
Abstract Background [18F]Fluorodeoxyglucose positron emission tomography ([18F]FDG PET) represents an endorsed neurodegeneration biomarker in neuronal α‐synucleinopathies. Idiopathic/isolated rapid eye movement (REM) sleep behavior disorder (iRBD) represents a prodromal stage of such disorders.
Beatrice Orso, Ignacio Roura, Pietro Mattioli, Francesco Famà, Federico Massa, Luigi Lorenzini, Andrea Brugnolo, Nicola Girtler, Mattia Losa, Stefano Raffa, Luca Sofia, Monica Roascio, Gabriele Arnulfo, Silvia Morbelli, Matteo Pardini, Dario Arnaldi   +15 more
wiley   +1 more source

Beyond Sequential Scanning: A Synergistic Mamba Paradigm With Adaptive Receptive Recalibration for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
State space models (SSMs) have emerged as a compelling paradigm for long-range dependence modeling with linear computational complexity. However, their intrinsic 1-D scanning process inevitably disrupts the local topological continuity of high ...
Cheng Chen, Tao Wang, Jiping Cao, Qiying Wang, Yanzhao Su, Yao Ding   +5 more
doaj   +1 more source

Spatiotemporal Progression Patterns of Striatal Dopamine Depletion and Cerebral Hypoperfusion in Parkinson's Disease

Movement Disorders, EarlyView.
Abstract Background The identification of Parkinson's disease (PD) subtypes is crucial for predicting the disease course and designing personalized therapeutic strategies. Objectives The aim of the study was to characterize the heterogeneity of the spatiotemporal evolutionary patterns of striatal dopamine depletion and cerebral hypoperfusion in PD ...
Yeeun Sun, Youngseok Choi, Chan Wook Park, Han Kyu Na, Hye Sun Lee, Yun Joong Kim, Young H. Sohn, Phil Hyu Lee, Jeyeon Lee, Seok Jong Chung   +9 more
wiley   +1 more source