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

Detection of Diabetic Retinopathy using Convolutional Neural Networks for Feature Extraction and Classification (DRFEC) DOI Open Access
Dolly Das, Saroj Kr. Biswas, Sivaji Bandyopadhyay

et al.

Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 82(19), P. 29943 - 30001

Published: Nov. 29, 2022

Language: Английский

Citations

73

Automatic robot Manoeuvres detection using computer vision and deep learning techniques: a perspective of internet of robotics things (IoRT) DOI
Hemant B. Mahajan, Nilesh Uke, Priya Pise

et al.

Multimedia Tools and Applications, Journal Year: 2022, Volume and Issue: 82(15), P. 23251 - 23276

Published: Nov. 16, 2022

Language: Английский

Citations

50

A Pre- to Post-COVID-19 Change of Air Quality Patterns in Anhui Province Using Path Analysis and Regression DOI Open Access
Uzair Aslam Bhatti, Guilu Wu, Sibghat Ullah Bazai

et al.

Polish Journal of Environmental Studies, Journal Year: 2022, Volume and Issue: 31(5), P. 4029 - 4042

Published: July 5, 2022

During the epidemic period, primary emissions across world were significantly reduced, while response to secondary pollution such as ozone differed from region region.To study impact of strict control measures new COVID-19 on air quality Anhui in early 2020, monitoring data Anhui, 2019 2021, specifically 1 January 30 August, was examined analyze characteristics temporal and spatial distribution.Regression path analysis used extract relationship between variable.PM 10 O 3 , average, increased by 6%, 2%, PM 2.5 SO 2 decreased 15% 10% post-COVID-19 period.All pollutants during active-COVID-19 with a maximum decrease 21% observed followed 19% minimum 2% .Changes 2017 2021 also compared, all through 2020 found.The index (AQI) recorded low 3% post-COVID-19, which shows that will worsen future, but it 16% period.A model developed further understand AQI patterns.This strong correlation however, its other is weak.Regression similar pattern

Language: Английский

Citations

41

Comprehensive Evaluation and Comparative Analysis of the Green Development Level of Provinces in Eastern and Western China DOI Open Access
Weixin Yang, Yue Hu, Qinyi Ding

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(5), P. 3965 - 3965

Published: Feb. 22, 2023

Considering the green development initiatives vigorously promoted by China, this paper constructs an evaluation index system that covers six areas, including resource utilization, pollution control, living environment, ecological protection, circular economy, and quality of economic growth. This also establishes improved comprehensive model using method Vertical Projection Distance-Set Pair Analysis in order to optimize traditional Technique for Order Preference Similarity Ideal Solution. Based on official data released quantitatively analyzes level 21 provinces eastern western China aforementioned areas from 2005 2020, makes a regional comparison between China. The results show is significantly higher than In when research period ends, values all provinces, except Hebei, are 4.0; meanwhile, no province region has value exceeding 4.0 there large gap such as growth control. On basis, puts forward relevant suggestions terms coordinated regions future.

Language: Английский

Citations

41

RETRACTED ARTICLE: Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm DOI Open Access
Abobaker Mohammed Qasem Farhan,

Shangming Yang

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 82(25), P. 38561 - 38587

Published: March 22, 2023

Language: Английский

Citations

41

Time Series Analysis and Forecasting of Air Pollutants Based on Prophet Forecasting Model in Jiangsu Province, China DOI Creative Commons
Ahmad Hasnain, Yehua Sheng, Muhammad Zaffar Hashmi

et al.

Frontiers in Environmental Science, Journal Year: 2022, Volume and Issue: 10

Published: July 22, 2022

Due to recent developments in the global economy, transportation, and industrialization, air pollution is one of main environmental issues 21st century. The current study aimed predict both short-term long-term Jiangsu Province, China, based on Prophet forecasting model (PFM). We collected data from 72 quality monitoring stations forecast six pollutants: PM 10 , 2.5 SO 2 NO CO, O 3 . To determine accuracy compare its results with predicted actual values, we used correlation coefficient (R), mean squared error (MSE), root (RMSE), absolute (MAE). show that PFM R values 0.40 0.52, RMSE 16.37 12.07 μg/m MAE 11.74 8.22 respectively. Among other pollutants, also are between 5 12 ; 11 has extensive power accurately concentrations pollutants can be regions. this research will helpful for local authorities policymakers control plan accordingly upcoming years.

Language: Английский

Citations

40

Improved LSTM-based deep learning model for COVID-19 prediction using optimized approach DOI Creative Commons
Lu‐Yu Zhou, Chun Zhao, Ning Liu

et al.

Engineering Applications of Artificial Intelligence, Journal Year: 2023, Volume and Issue: 122, P. 106157 - 106157

Published: March 16, 2023

Individuals in any country are badly impacted both economically and physically whenever an epidemic of infectious illnesses breaks out. A novel coronavirus strain was responsible for the outbreak sickness 2019. Corona Virus Disease 2019 (COVID-19) is name that World Health Organization (WHO) officially gave to pneumonia caused by on February 11, 2020. The use models informed machine learning currently a major focus study field improved forecasting. By displaying annual trends, forecasting can be performing impact assessments potential outcomes. In this paper, proposed forecast consisting time series such as long short-term memory (LSTM), bidirectional (Bi-LSTM), generalized regression unit (GRU), dense-LSTM have been evaluated prediction confirmed cases, deaths, recoveries 12 countries affected COVID-19. Tensorflow1.0 used programming. Indices known mean absolute error (MAE), root means square (RMSE), Median Absolute Error (MEDAE) r2 score utilized process evaluating performance models. We presented various ways time-series making LSTM (LSTM, BiLSTM), we compared these methods other evaluate Our suggests based among most advanced data.

Language: Английский

Citations

40

The effects of socioeconomic factors on particulate matter concentration in China's: New evidence from spatial econometric model DOI Open Access
Uzair Aslam Bhatti, Shah Marjan, Abdul Wahid

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 417, P. 137969 - 137969

Published: July 3, 2023

Language: Английский

Citations

39

Advancements in technology and innovation for sustainable agriculture: Understanding and mitigating greenhouse gas emissions from agricultural soils DOI
Muhammad Qayyum, Yanping Zhang,

Mansi Wang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 347, P. 119147 - 119147

Published: Sept. 28, 2023

Language: Английский

Citations

35

Investigating the nexus between energy, socio-economic factors and environmental pollution: A geo-spatial multi regression approach DOI
Uzair Aslam Bhatti, Hao Tang, Asad Khan

et al.

Gondwana Research, Journal Year: 2024, Volume and Issue: 130, P. 308 - 325

Published: March 1, 2024

Language: Английский

Citations

12