Results 271 to 280 of about 1,148,829 (343)

Identification of Exhaled Volatile Organic Compounds Biomarkers for Lung Cancer Under Data‐Limited Conditions Using Data Augmentation and Multi‐View Feature Selection

open access: yesAdvanced Intelligent Discovery, EarlyView.
This work introduces a novel framework for identifying non‐small cell lung cancer biomarkers from hundreds of volatile organic compounds in breath, analyzed via gas chromatography‐mass spectrometry. This method integrates generative data augmentation and multi‐view feature selection, providing a stable and accurate solution for biomarker discovery in ...
Guancheng Ren   +10 more
wiley   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios   +4 more
wiley   +1 more source

A Soft‐Tip Hydraulically Steerable Catheter for Enhanced Flexibility and Safety in Vascular Interventions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a hydraulically steerable catheter with a soft tip in vascular procedures. The steering soft tip achieves a minimal diameter of 2.6 mm and supports a 180° bend. Real‐time shape and position tracking, facilitated by segmentation and endpoint detection techniques, improves navigation.
Jingyi Kang   +9 more
wiley   +1 more source

Rapid and Precise Geometric Measurement of Injection‐Molded Axial Fans Using Convolutional Neural Network Regression

open access: yesAdvanced Intelligent Systems, EarlyView.
This study presents a vision‐based artificial intelligence (AI) system that rapidly and accurately measures deformation in injection‐molded axial fan blades. By combining deep learning with explainable AI techniques, the system achieves high prediction accuracy while reducing inspection time by over 90%.
Keuntae Baek   +6 more
wiley   +1 more source

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