IEEE

Toward Load-Robust Motion Estimation Using an EMG-Driven State-Space Model With a Variable Stiffness Musculoskeletal Model

Abstract: Accurate and robust human motion estimation is essential for enabling effective electromyography (EMG) signal-driven neural-machine interfaces in daily activities. Variation in loading ...
IEEE

Dynamics Enhanced Quasi-Steady-State Model of LCC-HVDC Systems Based on Neural Network

Abstract: Existing time-domain simulation of LCC-HVDC systems faces a trade-off between accuracy and efficiency. The electromagnetic transient model can accurately emulate detailed dynamic processes, ...
IEEE

BiDNAMamba: Pre-trained Bidirectional State Space Model for Motif Analysis in DNA

Abstract: Promoter identification is an important field of genomics research and holds a significant impact on understanding the mechanism of transcriptional regulation. The recent advancements of ...
IEEE

HC-Mamba: Remote Sensing Image Classification via Hybrid Cross-Activation State–Space Model

Abstract: Remote sensing image classification plays a crucial role in scene understanding task interpretation. Currently, remote sensing image classification is constrained by the complexity, ...
IEEE

RF Equivalent Circuit Model for GeSi Quantum Confined Stark Effect Electro-Absorption Modulators

Abstract: We present an RF equivalent circuit model for GeSi quantum confined stark effect (QCSE) electro-absorption modulator (EAM) integrated in a 300 mm Si photonics platform. The model ...
IEEE

A Lightweight Semantic Segmentation Network Based on Self-Attention Mechanism and State Space Model for Efficient Urban Scene Segmentation

Abstract: In the semantic segmentation of remote sensing images, methods based on convolutional neural networks (CNNs) and Transformers have been extensively studied. Nevertheless, CNN struggles to ...
IEEE

Making Old Film Great Again: Degradation-aware State Space Model for Old Film Restoration

Abstract: Unlike modern native digital videos, the restoration of old films requires addressing specific degradations inherent to analog sources. However, existing specialized methods still fall short ...
IEEE

OSAMamba: An Adaptive Bidirectional Selective State-Space Model for OSA Detection

Abstract: As the two most typical classic network models, convolutional neural networks (CNNs) and Transformer have been widely applied in obstructive sleep apnea (OSA) detection in recent years.
IEEE

Physics-Based SPICE Model of 2D-Material FETs for Neuromorphic Circuit Simulation

Abstract: In this work, we present a SPICE-compact model for 2D material (2DM) based FETs, tailored for simulating and optimizing complex digital and analog neuromorphic circuits. Based on our inhouse ...
IEEE

Tactile Skewness Analysis and Contact State Recognition by Fusing Tactile and Wrist Force for Flexible Printed Circuits Assembly Task

Abstract: With the rapid progress of the computer, communication, and consumer (3C) industry, robotic assembly tasks have become more important and challenging, such as the assembly of flexible ...
IEEE

A Strategy for State of Charge Estimation of Lithium-Ion Battery via an Adaptive Cubature Kalman Filter Based on Fractional-Order Model

Abstract: Accurate state of charge (SOC) estimation of lithium-ion battery (LIB) is beneficial for battery management systems (BMS) to optimize the management of LIB, which has significant ...
IEEE

Improving Speech Enhancement by Cross- and Sub-band Processing with State Space Model

Abstract: Recently, the state space model (SSM) represented by Mamba has shown remarkable performance in long-term sequence modeling tasks, including speech enhancement. However, due to substantial ...