Remote Sensing of Storage Fluctuations of Poorly Gauged Reservoirs and State Space Model (SSM)-Based Estimation [PDF]
To reduce hydrological uncertainties in the regular monitoring of poorly gauged lakes and reservoirs, multi-dimensional remote sensing data have emerged as an excellent alternative.
Alka Singh, Ujjwal Kumar, Florian Seitz
doaj +4 more sources
Gait Classification Based on Micro-Doppler Effect [PDF]
In this paper, an improved state-space method (SSM) is proposed for gait feature extraction. By introducing zero-phase component analysis Whitening (ZCA Whitening) and an algorithm to search estimated echo as the preprocessing method, pedestrian echoes ...
Yong Chen +5 more
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SSM-FastICANet: a hybrid state space and FastICA model for economic growth forecasting in energy-economy-environment systems [PDF]
This study examines the complex interactions between CO2 emissions, economic growth, and energy consumption across various classifications of countries.
Fahman Saeed
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Physics-Inspired Frequency-Decoupled Network for Remote Sensing Image Dehazing [PDF]
Remote sensing (RS) imagery often suffers from non-uniform atmospheric scattering, resulting in severe contrast degradation, detail blurring, and spectral distortion.
Hao Yang, Xiaohan Chen, Gang Xu
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LF-SSM: Lightweight HiPPO-Free State Space Model for Real-Time UAV Tracking
Visual object tracking from unmanned aerial vehicles (UAVs) demands both high accuracy and computational efficiency for real-time deployment on resource-constrained platforms.
Tianyu Wang +6 more
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CIR-SSM: A Cross and Inter Resolution State-Space Model for Underwater Image Enhancement
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
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Harmonic current estimation is the key technology of power electronics systems to generate a harmonics reference current for harmonic control. In this paper, a novel fundamental and harmonic current detection method based on the state-space model (SSM ...
Dongdong Chen, Long Xiao
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Hybrid State–Space and Vision Transformer Framework for Fetal Ultrasound Plane Classification in Prenatal Diagnostics [PDF]
Background and Objective: Accurate classification of standard fetal ultrasound planes is a critical step in prenatal diagnostics, enabling reliable biometric measurements and anomaly detection.
Sara Tehsin +3 more
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Decision-Aware Vision Mamba with Context-Guided Slot Mixing for Chest X-Ray Screening and Culture-Based Hierarchical Tuberculosis Classification [PDF]
Distinguishing Active from Inactive Tuberculosis (TB) on Chest X-rays presents a clinical challenge due to overlapping radiological signs. This study introduces Vision Mamba CGSM, a deep learning framework integrating a State Space Model (SSM) backbone ...
Wangsu Jeon +5 more
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Early diagnosis of Alzheimer’s disease (AD) and its precursor, mild cognitive impairment (MCI), is critical for effective prevention and treatment. Computer-aided diagnosis using magnetic resonance imaging (MRI) provides a cost-effective and objective ...
Sichen Bao +4 more
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