Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications-Reference-Cited by-同舟云学术

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Harnessing highly efficient triboelectric sensors and machine learning for self-powered intelligent security applications

Published:2023-12 Issue: Volume:20 Page:100426
ISSN:2590-0498
Container-title:Materials Today Advances
language:en
Short-container-title:Materials Today Advances

Author:

Shin Hyun Sik,Choi Su Bin,Kim Jong-Woong^ORCID

Funder

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Ministry of Trade, Industry and Energy

Publisher

Elsevier BV

Subject

Mechanical Engineering,General Materials Science

Reference56 articles.

1. Analysis and experiment of self-powered, pulse-based energy harvester using 400 V FEP-based segmented triboelectric nanogenerators and 98.2% tracking efficient power management IC for multi-functional IoT applications;Chandrarathana;Adv. Funct. Mater.,2023

2. Self-powered high-sensitivity all-in-one vertical tribo-transistor device for multi-sensing-memory-computing;Liu;Nat. Commun.,2022

3. Flexible seaweed-like triboelectric nanogenerator as a wave energy harvester powering marine internet of things;Wang;ACS Nano,2021

4. Multidiscipline applications of triboelectric nanogenerators for the intelligent era of internet of things;Cao;Nano-Micro Lett.,2023

5. Artificial intelligence of things (AIoT) enabled floor monitoring system for smart home applications;Shi;ACS Nano,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dual-responsive fully self-healing triboelectric pressure sensor: Integrating truncated sphere morphology with deep learning-enhanced signal;Nano Energy;2024-09

2. Machine Learning Assisted Self‐Powered Identity Recognition Based on Thermogalvanic Hydrogel for Intelligent Security;Small;2024-05-10

3. Roadmap to Human–Machine Interaction through Triboelectric Nanogenerator and Machine Learning Convergence;ACS Applied Energy Materials;2024-02-01

4. Recent developments of artificial intelligence in MXene-based devices: from synthesis to applications;Nanoscale;2024

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