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Analysis of the Impact of Energy Storage Units on Frequency Regulation Stability in Hydrothermal Power Plant Using State Space Modeling [PDF]

Hydrogen, Fuel Cell & Energy Storage
Energy storage systems have been considered in the last few years to improve the performance of energy grids. In a typical power system, an instantaneous balance between generated and consumed power must be maintained, without storing energy. As a result,
Mahnaz Hashemi +3 more
doaj +1 more source

Remaining Useful Life Prediction of Airplane Engine Based on Bidirectional Mamba and Causal Discovery

Sensors
Remaining Useful Life (RUL) plays a critical role in prognostics and health management systems. It helps increase reliability and safety for the equipment used in the modern industry.
Min Li, Longxia Zhu, Meiling Luo, Ting Ke +3 more
doaj +1 more source

ESatSR: Enhancing Super-Resolution for Satellite Remote Sensing Images with State Space Model and Spatial Context

Remote Sensing
Super-resolution (SR) for satellite remote sensing images has been recognized as crucial and has found widespread applications across various scenarios.
Yinxiao Wang, Wei Yuan, Fang Xie, Baojun Lin +3 more
doaj +1 more source

Enhanced Detection of Drought Events in California’s Central Valley Basin Using Rauch–Tung–Striebel Smoothed GRACE Level-2 Data: Mechanistic Insights from Climate–Hydrology Interactions

Remote Sensing
To mitigate the impact of north–south strip errors inherent in Gravity Recovery and Climate Experiment (GRACE) spherical harmonic coefficient solutions, this research develops a state-space model to generate a more robust solution.
Yong Feng +6 more
doaj +1 more source

Adaptive Prediction of Compressor Cylinder Pressure Dynamics Using a Physics-Guided VAE-CNN State Space Model

Actuators
Air compressor valves are prone to mechanical wear and elastic fatigue during long-term operation, often leading to poor sealing or leakage. Such leakage is a typical failure mode of reciprocating compressors, introducing strong nonlinearities into ...
Yingkang Lu +5 more
doaj +1 more source

HyMambaNet: Efficient Remote Sensing Water Extraction Method Combining State Space Modeling and Multi-Scale Features

Sensors
Accurate segmentation of water bodies from high-resolution remote sensing imagery is crucial for water resource management and ecological monitoring.
Handan Liu +6 more
doaj +1 more source

Mamba-Based Deep Learning Methods in Medical Image Analysis: A Systematic Literature Review

IEEE Access
This systematic literature review charts about Mamba research in medical imaging. A preregistered Scopus search followed by strict quality appraisal yielded 85 peer-reviewed papers.
Yogiek Indra Kurniawan +3 more
doaj +1 more source

FI-MambaNet: A Feature Integration Network with Mamba and Multi-Head Self-Attention for Remote Sensing Object Detection

Remote Sensing
Remote sensing object detection (RSOD) faces challenges such as large variations in target scale, diverse orientations, and complex backgrounds. Existing approaches struggle to simultaneously balance local feature extraction and global context modeling ...
Jinhang Liu +4 more
doaj +1 more source

State space model

Scholarpedia, 2013
Zhe Chen 0001, Emery N. Brown
openaire +1 more source

Hybrid Attention Driven CNN-Mamba Multimodal Fusion Network for Remote Sensing Image Semantic Segmentation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In recent years, the increase of multimodal image data has offered a broader prospect for multimodal semantic segmentation. However, the data heterogeneity between different modalities make it difficult to leverage complementary information and create ...
Shu Tian +9 more
doaj +1 more source

mamba
remote sensing
deep learning

state-space model
semantic segmentation