Original Research

Accepted on 05 Nov 2024

Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-Research on ARIMA-BP Neural Network Algorithm

in Big Data, AI, and the Environment

Sanglin Zhao
Zhetong Li
Bingkun Yuan
Chao Wang
Hao Deng
Jiaang Tong
Xing You

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1497941

240 views

Original Research

Published on 25 Sep 2024

Novel spatio-temporal attention causal convolutional neural network for multi-site PM2.5 prediction

in Big Data, AI, and the Environment

Yong Wang
Shuang Tian
Panxing Zhang

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1408370

400 views

Original Research

Published on 03 Sep 2024

Deep learning with ensemble approach for early pile fire detection using aerial images

in Big Data, AI, and the Environment

Dhyey Divyeshkumar Joshi
Satish Kumar
Shruti Patil
Pooja Kamat
Shrikrishna Kolhar
Ketan Kotecha

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1440396

390 views

Original Research

Published on 06 Aug 2024

Application of gene expression programing in predicting the concentration of PM2.5 and PM10 in Xi’an, China: a preliminary study

in Big Data, AI, and the Environment

Xu Wang
Kai Zhang
Peishan Han
Meijia Wang
Xianjun Li
Yaqiong Zhang
Qiong Pan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1416765

600 views

Original Research

Published on 05 Aug 2024

Air pollution prediction using blind source separation with Greylag Goose Optimization algorithm

in Big Data, AI, and the Environment

Anis Ben Ghorbal
Azedine Grine
Ibrahim Elbatal
Ehab M. Almetwally
Marwa M. Eid
El-Sayed M. El-Kenawy

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1429410

946 views

Original Research

Published on 29 Jul 2024

A pest image recognition method for long-tail distribution problem

in Big Data, AI, and the Environment

Shengbo Chen
Quan Gao
Yun He

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1391770

592 views

Review

Published on 25 Jul 2024

Digitalization of agriculture for sustainable crop production: a use-case review

in Big Data, AI, and the Environment

Redmond R. Shamshiri
Barbara Sturm
Cornelia Weltzien
John Fulton
Raj Khosla
Michael Schirrmann
Sharvari Raut
Deepak Hanike Basavegowda
Muhammad Yamin
Ibrahim A. Hameed

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1375193

3,902 views
2 citations

Original Research

Published on 23 Jul 2024

Fast dynamic prediction of consequences of heavy gas leakage accidents based on machine learning

in Big Data, AI, and the Environment

Chenqing Fan
Haixing Gong
Yan Zhang
Weichun Ma
Qi Yu

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1409072

650 views

Original Research

Published on 09 Jul 2024

Enhancing spatial modeling and risk mapping of six air pollutants using synthetic data integration with convolutional neural networks

in Big Data, AI, and the Environment

Abed Bashardoost
Mohammad Saadi Mesgari
Mina Karimi

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1399339

1,330 views

Original Research

Published on 09 Jul 2024

Estimation of water quality in Korattur Lake, Chennai, India, using Bayesian optimization and machine learning

in Big Data, AI, and the Environment

Lingze Zeng

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1434703

644 views

Original Research

Published on 26 Jun 2024

Rainfall classification and forecasting based on a novel voting adaptive dynamic optimization algorithm

in Big Data, AI, and the Environment

El-Sayed M. Elkenawy
Amel Ali Alhussan
Marwa M. Eid
Abdelhameed Ibrahim

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1417664

913 views

Original Research

Published on 13 Jun 2024

Application of research on carbon neutral strategy of physical education teaching based on attention mechanism in digital energy transformation

in Big Data, AI, and the Environment

Tianlei Yuan
Feng Cai
HuiJun Han

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1268603

1,168 views

Original Research

Published on 28 May 2024

Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications

in Big Data, AI, and the Environment

Anam Nigar
Yang Li
Muhammad Yousuf Jat Baloch
Abdulwahed Fahad Alrefaei
Mikhlid H. Almutairi

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1378443

1,510 views

Original Research

Published on 27 May 2024

Investigating the nonlinear carbon reduction effect of AI: empirical insights from China’s provincial level

in Big Data, AI, and the Environment

Tongping Xie
Xuwei Wang

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1353294

714 views

Original Research

Published on 27 May 2024

Prediction model for transmission line icing based on data assimilation and model integration

in Big Data, AI, and the Environment

Guoyu Wang
Jie Shen
Minghong Jin
Shuai Huang
Zhong Li
Xinchun Guo

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1403426

779 views
3 citations

Original Research

Published on 02 Apr 2024

Air pollution concentration fuzzy evaluation based on evidence theory and the K-nearest neighbor algorithm

in Big Data, AI, and the Environment

Bian Chao
Huang Guang Qiu

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1243962

946 views
1 citation

Navigation group

Articles

Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-Research on ARIMA-BP Neural Network Algorithm

Novel spatio-temporal attention causal convolutional neural network for multi-site PM2.5 prediction

Deep learning with ensemble approach for early pile fire detection using aerial images

Application of gene expression programing in predicting the concentration of PM2.5 and PM10 in Xi’an, China: a preliminary study

Air pollution prediction using blind source separation with Greylag Goose Optimization algorithm

A pest image recognition method for long-tail distribution problem

Digitalization of agriculture for sustainable crop production: a use-case review

Fast dynamic prediction of consequences of heavy gas leakage accidents based on machine learning

Enhancing spatial modeling and risk mapping of six air pollutants using synthetic data integration with convolutional neural networks

Estimation of water quality in Korattur Lake, Chennai, India, using Bayesian optimization and machine learning

Rainfall classification and forecasting based on a novel voting adaptive dynamic optimization algorithm

Application of research on carbon neutral strategy of physical education teaching based on attention mechanism in digital energy transformation

Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications

Investigating the nonlinear carbon reduction effect of AI: empirical insights from China’s provincial level

Prediction model for transmission line icing based on data assimilation and model integration

Air pollution concentration fuzzy evaluation based on evidence theory and the K-nearest neighbor algorithm