Results 1 to 10 of about 4,195 (114)
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
doaj +2 more sources
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 +3 more sources
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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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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Condensed water vapor in the atmosphere is observed as precipitation whenever moist air rises sufficiently enough to produce saturation, condensation, and the growth of precipitation particles.
Serdar Neslihanoglu +2 more
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Estimating the Competitive Storage Model with Stochastic Trends in Commodity Prices
We propose a State-Space Model (SSM) for commodity prices that combines the competitive storage model with a stochastic trend. This approach fits into the economic rationality of storage decisions and adds to previous deterministic trend specifications ...
Kjartan Kloster Osmundsen +3 more
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Black Box-Based Incremental Reduced-Order Modeling Framework of Inverter-Based Power Systems
Due to the capability to perform participation factor analysis and oscillation origin location, the state–space model (SSM)-based eigenvalue method has been widely used for stability assessment of inverter-penetrated power systems.
Weihua Zhou, Jef Beerten
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This contribution reports a comparative analysis of two methodologies for the periodic steady-state solution of linear and nonlinear electric networks in time-domain (TD), based on the state-space model (SSM) and companion-circuit analysis (CCA ...
Julio Cesar Godinez-Delgado +1 more
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