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        <datestamp>2026-09-28T05:15:40Z</datestamp>
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          <dc:title>Deep Learning-Enhanced
All-Nanofiber Sensors for Pressure–Temperature
Sensing and Stimulus Discrimination</dc:title>
          <dc:creator>Yanyu Zhao (417669)</dc:creator>
          <dc:creator>Yining Zhang (532481)</dc:creator>
          <dc:creator>Xinyi Liu (186154)</dc:creator>
          <dc:creator>Wei Dai (95957)</dc:creator>
          <dc:creator>Long Yang (139573)</dc:creator>
          <dc:creator>Shuyan Liu (321855)</dc:creator>
          <dc:creator>Hui Fan (228480)</dc:creator>
          <dc:creator>Pengfei Zhao (701271)</dc:creator>
          <dc:creator>Su-Ting Han (1498957)</dc:creator>
          <dc:creator>Ye Zhou (715680)</dc:creator>
          <dc:subject>Space Science</dc:subject>
          <dc:subject>Microbiology</dc:subject>
          <dc:subject>Neuroscience</dc:subject>
          <dc:subject>Chemical Sciences not elsewhere classified</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Information Systems not elsewhere classified</dc:subject>
          <dc:subject>smart home systems</dc:subject>
          <dc:subject>single sensing mode</dc:subject>
          <dc:subject>performance sensing solution</dc:subject>
          <dc:subject>enabling accurate recognition</dc:subject>
          <dc:subject>15 daily objects</dc:subject>
          <dc:subject>multiple complex signals</dc:subject>
          <dc:subject>unlike conventional sensors</dc:subject>
          <dc:subject>mixed signals</dc:subject>
          <dc:subject>nanofiber sensors</dc:subject>
          <dc:subject>work provides</dc:subject>
          <dc:subject>robotic grasping</dc:subject>
          <dc:subject>nanofiber membranes</dc:subject>
          <dc:subject>multisensory capabilities</dc:subject>
          <dc:subject>liquid temperature</dc:subject>
          <dc:subject>largely ignored</dc:subject>
          <dc:subject>including biocompatibility</dc:subject>
          <dc:subject>device uses</dc:subject>
          <dc:subject>assistive robotics</dc:subject>
          <dc:description>Flexible sensors for elderly-assistive robots typically
chase high
sensitivity, while comfort and multisensory capabilities are largely
ignored. Here, we break this pattern with a deep-learning decoupled
sensor based on tunable all-nanofiber membranes. Unlike conventional
sensors that rely on multiple complex signals, our device uses a single
sensing mode and decouples the pressure–temperature signal.
The all-nanofiber sensors not only offer excellent pressure–temperature
sensing performances but also demonstrate outstanding elderly-friendliness,
including biocompatibility, breathability, and degradability. A deep
learning algorithm decouples the mixed signals, enabling accurate
recognition of liquid temperature and volume in a cup, as well as
classification of 15 daily objects during robotic grasping with 97.78%
accuracy. This work provides a simple, ecofriendly, and high-performance
sensing solution for elderly-assistive robotics and smart home systems.</dc:description>
          <dc:date>2026-09-28T00:00:00Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Media</dc:type>
          <dc:identifier>10.1021/acs.nanolett.6c03538.s002</dc:identifier>
          <dc:relation>https://figshare.com/articles/media/Deep_Learning-Enhanced_All-Nanofiber_Sensors_for_Pressure_Temperature_Sensing_and_Stimulus_Discrimination/34008948</dc:relation>
          <dc:rights>CC BY-NC 4.0</dc:rights>
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