Results 111 to 120 of about 8,402 (257)

Sports Activity Recognition Using Textile‐Based Sensor Fusion and Complex‐Valued Residual Convolutional Neural Networks

open access: yesAdvanced Intelligent Systems, EarlyView.
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi   +4 more
wiley   +1 more source

Reinforcement Learning With a Low‐Cost Parallel Linkage Gripper for Static and Dynamic Planar In‐Hand Manipulation

open access: yesAdvanced Intelligent Systems, EarlyView.
Hardware‐learning co‐design combines volar‐plate‐inspired passive‐joint constraints with mechanism‐aware reinforcement learning for a low‐cost parallel‐linkage gripper. The resulting system performs quasi‐static object adjustment and dynamic pinch grasping, demonstrating reliable planar in‐hand manipulation and successful sim‐to‐real transfer. Parallel
Yanzhou Jin   +4 more
wiley   +1 more source

DyCoDiff: Dynamic Collaborative Diffusion for Text‐Image‐Audio‐to‐Video

open access: yesAdvanced Intelligent Systems, EarlyView.
DyCoDiff enables text, image, and audio conditions to collaborate before temporal video generation. A multimodal condition fusion layer injects gated text‐centric fusion into the temporal branch, while collaborative losses align generated videos with semantic, visual, and dynamic audio cues for rhythm‐sensitive text‐image‐audio‐to‐video synthesis. Text‐
Youming Zhang   +3 more
wiley   +1 more source

Vector‐Based SparseGPT: A Vector‐Based Sparsity Method for Large Language Model

open access: yesAdvanced Intelligent Systems, EarlyView.
Conventional pruning such as SparseGPT produces harmful accumulated errors through step‐by‐step weight editing. V‐SparseGPT prunes and updates target weights simultaneously to curb these errors for N:M structured sparsity. Block‐sparsity and layer‐parallel sparsity greatly boost pruning efficiency.
Junfei He   +3 more
wiley   +1 more source

SFMFNet: Spatial‐Frequency Multiscale Fusion Network for Left Ventricle Segmentation in Echocardiography

open access: yesAdvanced Intelligent Systems, EarlyView.
Automatic left ventricular segmentation in echocardiography is critical for cardiac function assessment but remains challenging due to limited crossdomain feature interaction. This paper proposes SFMFNet, a Spatial‐Frequency Multi‐Scale Fusion Network that integrates multiscale convolution, wavelet transform, and Fourier transform.
Dang Li   +3 more
wiley   +1 more source

'I Am a Person Before My Label': Exploring People's Perceptions of Different Discourses Associated With Dyslexia. [PDF]

open access: yesDyslexia
Macdonald SJ   +9 more
europepmc   +1 more source

Physics‐Informed Machine Learning for Predicting Phases and Density of Al2O3–TiB2 Composites Synthesized via Laser Ignition From the Al–TiO2–B2O3–H3BO3 Reactive System

open access: yesAdvanced Intelligent Systems, EarlyView.
This interactive physics‐informed machine learning model predicts the composition and density of advanced ceramic materials produced by self‐propagating high‐temperature synthesis. The model requires user input processing parameters and demonstrates high accuracy.
Evangelos Daskalakis   +4 more
wiley   +1 more source

Kinematic‐Aware Diffusion Model Correction for Human Motion Generation via Pose Transfer

open access: yesAdvanced Intelligent Systems, EarlyView.
Overall architecture of the proposed video kinematic pose correction pipeline. The framework integrates diffusion‐based video generation, multi‐estimator skeleton extraction, temporal Kalman smoothing, biomechanical constraint enforcement, and pose‐conditioned frame regeneration via Pose‐guided Image Synthesis and Editing. This paper presents Kinematic‐
Alaa Abdullah Albaghdadi   +1 more
wiley   +1 more source

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