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TiO-Based Implantable Memristor for Biomedical Engineering.
ACS Appl Mater Interfaces
January 2025
Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China.
Implantable memristors are considered an emerging electronic technology that can simulate brain memory function and demonstrate some promising applications in the biomedical field. However, it remains a critical challenge to enhance their long-term stability and biocompatibility in implantation environments. In this work, an implantable memristor has been successfully fabricated based on TiO using magnetron sputtering.
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Diagn Interv Imaging
January 2025
Department of Neuroradiology, Hôpital Fondation Adolphe de Rothschild, 75019, Paris, France; Université Paris Cité, Faculté de Médecine, 75006 Paris, France. Electronic address:
An overview of sound source localization based condition monitoring robots.
ISA Trans
December 2024
Centre for Efficiency and Performance Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK. Electronic address:
As artificial intelligence advances and demand for cost-effective equipment maintenance in various fields increases, it is worth insightful research on utilizing robots embedded with sound source localization (SSL) technology for condition monitoring. Combining the two techniques has significant advantages, which are conducive to further classifying and tracking abnormal sources, thereby enhancing system performance at a lower cost. The paper provides an overview of current acoustic-based robotic techniques for condition monitoring, highlights the common SSL methods, and finds that localization performance heavily depends on signal quality.
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