期刊名：Signals

期刊主页：https://www.mdpi.com/journal/signals

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1.英文标题：

Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques

中文标题：

基于人工智能技术的表面肌电信号采集、处理与分析集成系统开发

文章链接：https://www.mdpi.com/2624-6120/5/3/25

MDPI引用格式:

Laganà, F.; Pratticò, D.; Angiulli, G.; Oliva, G.; Pullano, S.A.; Versaci, M.; La Foresta, F. Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques. Signals 2024, 5, 476-493. https://doi.org/10.3390/signals5030025

2. 英文标题：

Improved RSSI Indoor Localization in IoT Systems with Machine Learning Algorithms

中文标题：

利用机器学习算法提升物联网系统中的室内无线信号强度指示值定位能力

文章链接：https://www.mdpi.com/2624-6120/4/4/36

MDPI引用格式:

Maduranga, M.W.P.; Tilwari, V.; Abeysekera, R. Improved RSSI Indoor Localization in IoT Systems with Machine Learning Algorithms. Signals 2023, 4, 651-668. https://doi.org/10.3390/signals4040036

3. 英文标题：

EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks

中文标题：

基于脑电图的癫痫发作检测方法：采用变频复杂解调与卷积神经网络技术

文章链接：https://www.mdpi.com/2624-6120/4/4/45

MDPI引用格式:

Veeranki, Y.R.; McNaboe, R.; Posada-Quintero, H.F. EEG-Based Seizure Detection Using Variable-Frequency Complex Demodulation and Convolutional Neural Networks. Signals 2023, 4, 816-835. https://doi.org/10.3390/signals4040045

4. 英文标题：

Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications

中文标题：

结构健康监测中的计算机视觉与图像处理：近期应用概述

文章链接：https://www.mdpi.com/2624-6120/4/3/29

MDPI引用格式:

Ferraris, C.; Amprimo, G.; Pettiti, G. Computer Vision and Image Processing in Structural Health Monitoring: Overview of Recent Applications. Signals 2023, 4, 539-574. https://doi.org/10.3390/signals4030029

5. 英文标题：

Investigation of LASSO Regression Method as a Correction Measurements’ Factor for Low-Cost Air Quality Sensors

中文标题：

对 LASSO 回归方法的探究：作为低成本空气质量传感器校准测量因素的应用研究

文章链接：https://www.mdpi.com/2624-6120/5/1/4

MDPI引用格式:

Christakis, I.; Sarri, E.; Tsakiridis, O.; Stavrakas, I. Investigation of LASSO Regression Method as a Correction Measurements’ Factor for Low-Cost Air Quality Sensors. Signals 2024, 5, 60-86. https://doi.org/10.3390/signals5010004

6. 英文标题：

Study of Time–Frequency Domain of Acoustic Emission Precursors in Rock Failure during Uniaxial Compression

中文标题：

单轴压缩过程中岩石破坏时声发射前兆信号的时频域研究

文章链接：https://www.mdpi.com/2624-6120/5/1/6

MDPI引用格式:

Jing, G.; Marin Montanari, P.; Lacidogna, G. Study of Time–Frequency Domain of Acoustic Emission Precursors in Rock Failure during Uniaxial Compression. Signals 2024, 5, 105-117. https://doi.org/10.3390/signals5010006

7. 英文标题：

EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques

中文标题：

用于精确去除干扰并提高阿尔茨海默病诊断准确性的脑电图数据分析技术：重点介绍模糊和直觉模糊逻辑技术

文章链接：https://www.mdpi.com/2624-6120/5/2/18

MDPI引用格式:

Versaci, M.; La Foresta, F. EEG Data Analysis Techniques for Precision Removal and Enhanced Alzheimer’s Diagnosis: Focusing on Fuzzy and Intuitionistic Fuzzy Logic Techniques. Signals 2024, 5, 343-381. https://doi.org/10.3390/signals5020018

8. 英文标题：

A Complete Pipeline for Heart Rate Extraction from Infant ECGs

中文标题：

从婴儿心电图中提取心率的完整流程

文章链接：https://www.mdpi.com/2624-6120/5/1/7

MDPI引用格式:

Mason, H.T.; Martinez-Cedillo, A.P.; Vuong, Q.C.; Garcia-de-Soria, M.C.; Smith, S.; Geangu, E.; Knight, M.I. A Complete Pipeline for Heart Rate Extraction from Infant ECGs. Signals 2024, 5, 118-146. https://doi.org/10.3390/signals5010007

9. 英文标题：

Large Language Model-Informed X-ray Photoelectron Spectroscopy Data Analysis

中文标题：

基于大型语言模型的 X 射线光电子能谱数据分析

文章链接：https://www.mdpi.com/2624-6120/5/2/10

MDPI引用格式:

de Curtò, J.; de Zarzà, I.; Roig, G.; Calafate, C.T. Large Language Model-Informed X-ray Photoelectron Spectroscopy Data Analysis. Signals 2024, 5, 181-201. https://doi.org/10.3390/signals5020010

10. 英文标题：

Localizing the First Interstellar Meteor with Seismometer Data

中文标题：

利用地震仪数据定位第一颗来自星际的流星

文章链接：https://www.mdpi.com/2624-6120/4/4/35

MDPI引用格式:

Siraj, A.; Loeb, A. Localizing the First Interstellar Meteor with Seismometer Data. Signals 2023, 4, 644-650. https://doi.org/10.3390/signals4040035