Results 71 to 80 of about 1,572,835 (188)

Prerequisites for Affective Signal Processing (ASP) [PDF]

, 2009
Although emotions are embraced by science, their recognition has not reached a satisfying level. Through a concise overview of affect, its signals, features, and classification methods, we provide understanding for the problems encountered.
Broek, Egon L. van den, Healey, Jennifer A., Janssen, Joris H., Westerink, Joyce H.D.M.   +3 more
core   +1 more source

A Dilated CNN‐Based Model for Stress Detection Using Raw PPG Signals

IET Wireless Sensor Systems
Stress, a common response to challenging situations, has become pervasive in contemporary daily life due to various factors. Persistent stress can weaken the human immune system, increasing the risk of chronic stress and contributing to a range of ...
Koorosh Motaman, Khalil Alipour, Bahram Tarvirdizadeh, Mohammad Ghamari   +3 more
doaj   +1 more source

Enhanced ECG Signal Classification

International Research Journal on Advanced Engineering Hub (IRJAEH)
The increasing amount of medical data emphasizes the urgent need for efficient methods in classifying electrocardiogram (ECG) signals. While current approaches are valuable, they struggle to achieve both high sensitivity and specificity, limiting their effectiveness in timely cardiac diagnosis.
null Vinaya Kulkarni, null Sanah Naik, null Suruchi Bibikar, null Ankita Ochani, null Sakshi Pratap   +4 more
openaire   +1 more source

Simultaneous Detection of Body Movements Using Nanocomposite Multifunctional Mechanical Wearable Sensor

IET Science, Measurement & Technology
The field of wearable sensors, particularly motion sensors, has experienced noteworthy advancements in recent years. Motion sensors have significantly assisted doctors by gathering real‐time data and transmitting information remotely, proving highly ...
Ahad Mahanfar, Alireza Nikfarjam, Alireza SalavatiMohammadi   +2 more
doaj   +1 more source

Boundary‐Aware Learning for Robust Automatic Modulation Recognition Based on Adaptive Pyramid Network

IET Radar, Sonar & Navigation
Automatic modulation recognition (AMR) of radar signals plays a pivotal role in intelligent spectrum management for modern electronic warfare systems.
Yuanhang Li, Mengyi Qi, Xiaofeng Tao, Wenbin Shao   +3 more
doaj   +1 more source

Intelligent GPS L1 LOS/Multipath/NLOS Classifiers Based on Correlator-, RINEX- and NMEA-Level Measurements

Remote Sensing, 2019
This paper proposes to use a correlator-level global positioning system (GPS) line-of-sight/multipath/non-line-of-sight (LOS/MP/NLOS) signal reception classifier to improve positioning performance in an urban environment.
Bing Xu, Qiongqiong Jia, Yiran Luo, Li-Ta Hsu   +3 more
doaj   +1 more source

MAE‐SigNet: An effective network for automatic modulation recognition

IET Communications
The rapid development of the Internet of Things has exacerbated issues such as spectrum resource scarcity, poor communication quality, and high communication energy consumption. Automatic modulation recognition (AMR), a key technology in cognitive radio,
Shilong Zhang, Yu Song, Shubin Wang
doaj   +1 more source

Classifying aircraft based on sparse recovery and deep-learning

The Journal of Engineering, 2019
A hybrid CS-DL method for aircraft classification in complex electromagnetic environment is introduced. To classify aircraft from interfered radar echoes, the authors propose a novel classification method based on compressed sensing (CS) and deep ...
Wang Wenying, Wei Yao, Zhen Xuanxuan, Yu Hui, Wang Ruqi   +4 more
doaj   +1 more source

Comprehensive review of IDMs in DG systems

IET Smart Grid, 2018
Distributed generation (DG) offers solution to the ever increasing energy needs by generating energy at the consumer end, in most cases, by means of renewable energy sources.
Santhosh K.G. Manikonda, Dattatraya Narayan Gaonkar   +1 more
doaj   +1 more source

Method of inter-turn fault detection for next-generation smart transformers based on deep learning algorithm

High Voltage, 2019
In this study, an inter-turn fault diagnosis method is proposed based on deep learning algorithm. 12-channel data is obtained in MATLAB/Simulink as the time-domain monitoring signals and labelled with 16 different fault tags, including both primary and ...
Lian Duan, Jun Hu, Gen Zhao, Kunjin Chen, Shan X. Wang, Jinliang He   +5 more
doaj   +1 more source