Skip to Content
You are currently on the new version of our website. Access the old version .

7 Results Found

  • Article
  • Open Access
9 Citations
4,695 Views
18 Pages

Effective pulmonary drug delivery using a metered-dose inhaler (MDI) requires a match between the MDI sprays, the patient’s breathing, and respiratory physiology. Different inhalers generate aerosols with distinct aerosol sizes and speeds, which requ...

(This article belongs to the Special Issue Drug Delivery to the Lungs: Challenges and Opportunities)
  • Review
  • Open Access
341 Views
32 Pages

Advances in Deep Learning Applications for Slow Earthquake Research

  • Shimin Liu,
  • Huiru Lei,
  • Wenhao Dai and
  • Zekang Yang

11 September 2026

Slow earthquakes represent an important mode of fault slip transitional between stable creep and dynamic rupture. Their occurrence is jointly controlled by mineral composition, pore-fluid pressure, effective normal stress, system stiffness, and micro...

(This article belongs to the Special Issue Applications of Machine Learning in Geotechnical Engineering)
  • Article
  • Open Access
1,514 Views
11 Pages

Respiration is closely related to the parasympathetic nervous system (PSNS). This relation occurs within a single respiratory cycle, with PSNS activity reduced during inspiration and increased during expiration. Over a longer timescale, deep and slow...

(This article belongs to the Section Biosignal Processing)
  • Technical Note
  • Open Access
1 Citations
1,983 Views
17 Pages

MAL-Net: Model-Adaptive Learned Network for Slow-Time Ambiguity Function Shaping

  • Jun Wang,
  • Xiangqing Xiao,
  • Jinfeng Hu,
  • Ziwei Zhao and ,
  • Kai Zhong and
  • Chaohai Li
  • + 1 author+ 0 author

6 January 2025

Designing waveforms with a Constant Modulus Constraint (CMC) to achieve desirable Slow-Time Ambiguity Function (STAF) characteristics is significantly important in radar technology. The problem is NP-hard, due to its non-convex quartic objective func...

(This article belongs to the Special Issue Advances in Remote Sensing, Radar Techniques, and Their Applications)
  • Article
  • Open Access
19 Citations
5,019 Views
21 Pages

Fast and Fine Location of Total Lightning from Low Frequency Signals Based on Deep-Learning Encoding Features

  • Jingxuan Wang,
  • Yang Zhang,
  • Yadan Tan,
  • Zefang Chen and ,
  • Dong Zheng,
  • Yijun Zhang and
  • Yanfeng Fan
  • + 2 authors+ 0 author

5 June 2021

Lightning location provides an important means for the study of lightning discharge process and thunderstorms activity. The fine positioning capability of total lightning based on low-frequency signals has been improved in many aspects, but most of t...

(This article belongs to the Special Issue Remote Sensing of Lightning and Its Applications in Atmospheric Electricity Studies)
  • Article
  • Open Access
28 Citations
10,690 Views
21 Pages

mmWave-RM: A Respiration Monitoring and Pattern Classification System Based on mmWave Radar

  • Zhanjun Hao,
  • Yue Wang,
  • Fenfang Li,
  • Guozhen Ding and
  • Yifei Gao

2 July 2024

Breathing is one of the body’s most basic functions and abnormal breathing can indicate underlying cardiopulmonary problems. Monitoring respiratory abnormalities can help with early detection and reduce the risk of cardiopulmonary diseases. In...

(This article belongs to the Section Intelligent Sensors)
  • Feature Paper
  • Article
  • Open Access
457 Views
15 Pages

4 August 2026

Terahertz (THz) waves offer unique advantages, including non-contact operation, high penetration capability, and high resolution, making them particularly well-suited for the non-destructive thickness measurement of film-structured materials. In refl...

(This article belongs to the Section Thin Films)