Results 251 to 260 of about 916,158 (354)
This study investigates how gaze mode and stimulus brightness affect augmented reality‐based steady‐state visual evoked potentials (AR‐SSVEP) brain‐computer interface (BCI) performance. Experiments with 20 participants show that binocular gaze improves recognition accuracy and stimulus luminance impacts performance.
Yiting Geng +6 more
wiley +1 more source
This study proposes a method to quantify the printing quality of roll‐to‐roll gravure‐printed electronics by combining deep learning and spatial association analysis. The proposed approach enables real‐time objective evaluation of printing quality, and optimizes process conditions through response surface methodology. It significantly enhances printing
Juhuhn Kim +6 more
wiley +1 more source
A new perspective on scoring children's originality: a standards-based criterion-referenced assessment approach. [PDF]
Bahar K, June Maker C.
europepmc +1 more source
An Ultrathin and Lightweight Soft Inflatable Actuator for Natural Tactile Sensory Feedback
A lightweight, ultrathin soft actuator mimics natural touch by delivering strong, multimodal haptic feedback through pressure and vibration. Tested on both able‐bodied individuals and amputees, it achieves high sensory precision in a compact form. Its simplicity, power, and adaptability hint at transformative applications in prosthetics, immersive ...
Hanna Scherer +7 more
wiley +1 more source
This perspective article considers what computations optical computing can and should enable. Focusing upon free‐space optical computing, it argues that a codesign approach whereby materials, devices, architectures, and algorithms are simultaneously optimized is needed.
Prasad P. Iyer +6 more
wiley +1 more source
Public Perception of the Brain-Computer Interface Based on a Decade of Data on X: Mixed Methods Study. [PDF]
Almanna MA +7 more
europepmc +1 more source
IAR‐Net: Tabular Deep Learning Model for Interventionalist's Action Recognition
This study presents IAR‐Net, a deep‐learning framework for catheterization action recognition. To ensure optimality, this study quantifies interoperator similarities and differences using statistical tests, evaluates the distribution fidelity of synthetic data produced by six generative models, and benchmarks multiple deep‐learning models.
Toluwanimi Akinyemi +7 more
wiley +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
A spherical fuzzy WASPAS approach to prioritize the factors enhancing the effectiveness of physical education classroom teaching. [PDF]
Gao Y, Yu A.
europepmc +1 more source
Topology Optimization of Exo‐Glove Poly II for Enhancing Functionality and Wearability
This study proposes a topology optimization method for Exo‐Glove Poly II to enhance functionality and wearability. By modeling its finger body as a longitudinally periodic structure, a unit cell‐level optimization—aimed at minimizing distortion and achieving user‐preferred stretchability—is established. Experimental validation shows reduced distortion,
Soomin Choi +4 more
wiley +1 more source

