Set-Membership Estimation for T–S Fuzzy Complex Networks: A Dynamic Coding-Decoding Mechanism

Engineering, Electrical Engineering, Information Science, Computer Science, Artificial Intelligence,
T-S fuzzy complex networks   set-membership estimation   dynamic coding-decoding mechanism   optimization algorithm   network communication   state estimation   unknown but bounded noise  

Academic Background In today’s complex network systems, state estimation is a critical issue, especially when dealing with uncertainties and noise. Complex networks typically consist of multiple interconnected nodes, and the dynamic behavior of each node may be influenced by nonlinear factors. The Takagi-Sugeno (T-S) fuzzy model has demonstrated si...

Gait Sensors with Customized Protruding Structures for Quadruped Robot Applications

Gait Sensors with Customized Protruding Structures for Quadruped Robot Applications

Engineering, Mechanical Engineering, Electrical Engineering, Materials Science, Information Science, Computer Science, Automation, Artificial Intelligence, Life Sciences, Bioengineering,
gait sensor   pressure   vibration   customized structure   template-confined electrospinning  

Research on Flexible Gait Sensors for Quadruped Robot Applications Background Introduction With the widespread application of robots in daily life and industrial production, especially in scenarios requiring standardized, persistent, and heavy-duty operations, the development of intelligent robots has gradually become a trend. However, robots still...

Deep Learning to Quantify the Pace of Brain Aging in Relation to Neurocognitive Changes

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Medical Imaging, Life Sciences, Bioengineering,
deep learning   brain aging   neurocognitive changes   Alzheimer's disease   magnetic resonance imaging  

As the global aging problem intensifies, the incidence of neurodegenerative diseases (such as Alzheimer’s Disease, AD) is increasing year by year. Brain aging (Brain Aging, BA) is one of the significant risk factors for neurodegenerative diseases, but it does not completely align with chronological age (Chronological Age, CA). Traditional methods f...

A Novel Mutual Information-Based Approach for Neurophysiological Characterization of Sense of Presence in Virtual Reality

Information Science, Computer Science, Artificial Intelligence, Medicine, Neurology, Life Sciences, Bioengineering,
Virtual Reality   Sense of Presence   Neurophysiology   Mutual Information   Physiological Signals  

Sense of Presence in Virtual Reality: Exploration and Validation of Neurophysiological Markers Background Introduction In recent years, Virtual Reality (VR) technology has been widely applied in fields such as medicine, training, and rehabilitation. The core of VR lies in the user’s “sense of presence,” which refers to the immersive experience of “...

Multi-Material Decomposition Using Spectral Diffusion Posterior Sampling

Engineering, Information Science, Computer Science, Medicine, Medical Imaging, Life Sciences, Bioengineering,
Spectral CT   Material Decomposition   Diffusion Model   Nonlinear Inverse Problem   Image Reconstruction  

Multi-Material Decomposition Research Based on Spectral Diffusion Posterior Sampling Background Introduction In the field of medical imaging, CT (Computed Tomography) technology is widely used in disease diagnosis and treatment planning. In recent years, spectral CT has become a research hotspot due to its ability to provide energy-dependent attenu...

SigWavNet: Learning Multiresolution Signal Wavelet Network for Speech Emotion Recognition

Information Science, Computer Science, Artificial Intelligence,
Speech Emotion Recognition   Wavelet Transform   Deep Learning   Convolutional Neural Network   Bidirectional Gated Recurrent Unit  

Application of Multiresolution Signal Wavelet Network in Speech Emotion Recognition: SigWavNet Academic Background Speech Emotion Recognition (SER) plays a crucial role in human-computer interaction and psychological assessment. It identifies the speaker’s emotional state by analyzing speech signals, with wide applications in emergency call centers...