Classification of healthy and epileptic seizure EEG signals based on different visibility graph algorithms and EEG time series DOI

Zeynab Mohammadpoory,

Mahda Nasrolahzadeh, Sekineh Asadi Amiri

et al.

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(1), P. 2703 - 2724

Published: May 9, 2023

Language: Английский

How Sustainable Transportation Can Utilize Climate Change Technologies to Mitigate Climate Change DOI Open Access
Ashraf Ud Din, Imran Ur Rahman, Alejandro Vega-Muñoz

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(12), P. 9710 - 9710

Published: June 17, 2023

The build-up of greenhouse gases (GHGs) is causing warmness in the Earth’s atmosphere, resulting climate change. transport sector one active causes GHG emissions and it imperative to use sustainable sources control There a measure that aims encourage citizens stop using their own vehicles as choice instead opt for joint mobility during traveling. In this study, quantitative research method was used data were collected from sample 410 respondents through questionnaire. Furthermore, study also took simulation-based (n = 10,000) size electric rail vehicle data. analyzed structural equation modelling. results revealed transportation, change technologies, reduce ecoregions China. We conclude transportation policies could be formulated implemented response results, recommended that, since multi-level governance issue, outdated pyramidal industry models must shifted system model.

Language: Английский

Citations

16
Facial expression recognition: a review DOI
Xing Guo, Yudong Zhang, Siyuan Lu

et al.

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(8), P. 23689 - 23735

Published: Aug. 17, 2023

Language: Английский

Citations

14
Machine learning insights into PM2.5 changes during COVID-19 lockdown: LSTM and RF analysis in Mashhad DOI

Seyed Mohammad Mahdi Moezzi,

Mitra Mohammadi, Mandana Mohammadi

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(5)

Published: April 15, 2024

Language: Английский

Citations

5
Research on cassava disease classification using the multi-scale fusion model based on EfficientNet and attention mechanism DOI Creative Commons
Mingxin Liu,

Haofeng Liang,

Mingxin Hou

et al.

Frontiers in Plant Science, Journal Year: 2022, Volume and Issue: 13

Published: Dec. 22, 2022

Cassava disease is one of the leading causes to serious decline cassava yield. Because it difficult identify characteristics disease, if not professional growers, will be prone misjudgment. In order strengthen judgment diseases, identification diseases such as different color leaf spots, abnormal shape and spot area were studied. this paper, deep convolutional neural network was used classify image classification technology recognize diseases. A lightweight module Multi-scale fusion model (MSFM) based on attention mechanism proposed extract features leaves enhance features. The resulting feature map contained key information. study 22,000 images a data set, including four categories healthy leaves. experimental results show that multi-scale Convolutional Neural Network (CNN) improves EfficientNet compared with original model, average recognition rate increased by nearly 4% up 88.1%. It provides theoretical support practical tools for early diagnosis plant

Language: Английский

Citations

21
Classification of healthy and epileptic seizure EEG signals based on different visibility graph algorithms and EEG time series DOI

Zeynab Mohammadpoory,

Mahda Nasrolahzadeh, Sekineh Asadi Amiri

et al.

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(1), P. 2703 - 2724

Published: May 9, 2023

Language: Английский

Citations

13