相关实验视频

Updated: Jun 8, 2026

Flying Insect Detection and Classification with Inexpensive Sensors
05:16

Flying Insect Detection and Classification with Inexpensive Sensors

Published on: October 15, 2014

25.2K

基于FBG的应变传感器,用于使用机器学习和自适应值来检测围入侵者.

Ahmad Elleathy1, Faris Alhumaidan1, Mohammed Alqahtani1

  • 1Electrical Engineering Department, King Saud University, Riyadh 11421, Saudi Arabia.

Sensors (Basel, Switzerland)
|June 10, 2023
PubMed
概括

本研究介绍了一种使用光纤传感器和机器学习的入侵者检测系统. 该方法即使在低信号条件下也能准确识别入侵者,达到99.17%的准确性.

关键词:
适应性值设置 适应性值设置纤维布拉格格子格子布拉格格子格子线性差异分析线性差异分析逻辑回归的逻辑回归机器学习是机器学习.有光学传感器的感应器.

更多相关视频

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings00:08

A Random-displacement Measurement by Combining a Magnetic Scale and Two Fiber Bragg Gratings

Published on: September 30, 2019

6.3K
Design and Analysis for Fall Detection System Simplification08:05

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

10.7K

相关概念视频

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...