Frontiers in Environmental Science | Big Data, AI, and the Environment

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

881 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

1,794 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

968 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

1,449 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

1,707 views
1 citation

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

2,456 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

975 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

1,097 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

1,159 views
1 citation

Original Research

Published on 22 Mar 2024

Developing a hybrid data-driven and informed model for prediction and mitigation of agricultural nitrous oxide flux hotspots

in Big Data, AI, and the Environment

Nikhil Vemuri

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1353049

2,090 views
1 citation

Original Research

Published on 12 Mar 2024

Exploring the structure of the digital economy through blockchain technology and mitigating adverse environmental effects with the aid of artificial neural networks

in Big Data, AI, and the Environment

Tengwei Cai
Zexin Hong

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1315812

5,348 views

Original Research

Published on 12 Mar 2024

Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development

in Big Data, AI, and the Environment

Yunliang Lei

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1358296

2,427 views
1 citation

Original Research

Published on 05 Mar 2024

Enhanced defluoridation by nano-crystalline alum-doped hydroxyapatite and artificial intelligence (AI) modeling approach

in Big Data, AI, and the Environment

Nitin Pratap Varma
Alok Sinha
Sunil Kumar Gupta
Jaydev Kumar Mahato
Priyankar Chand

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1363724

5,440 views

Review

Published on 20 Feb 2024

Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management

in Big Data, AI, and the Environment

Simona Mariana Popescu
Sheikh Mansoor
Owais Ali Wani
Shamal Shasang Kumar
Vikas Sharma
Arpita Sharma
Vivak M. Arya
M. B. Kirkham
Deyi Hou
Nanthi Bolan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1336088

37,327 views
23 citations

Original Research

Published on 16 Feb 2024

Predicting groundwater level using traditional and deep machine learning algorithms

in Big Data, AI, and the Environment

Fan Feng
Hamzeh Ghorbani
Ahmed E. Radwan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1291327

7,341 views
9 citations

Original Research

Published on 12 Feb 2024

Integrated flood risk assessment in Hunza-Nagar, Pakistan: unifying big climate data analytics and multi-criteria decision-making with GIS

in Big Data, AI, and the Environment

Muhammad Ahsan Mukhtar
Donghui Shangguan
Yongjian Ding
Muhammad Naveed Anjum
Abhishek Banerjee
Asim Qayyum Butt
Nilesh yadav
Da Li
Qin Yang
Amjad Ali Khan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1337081

3,772 views
3 citations

Navigation group

Articles

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

Developing a hybrid data-driven and informed model for prediction and mitigation of agricultural nitrous oxide flux hotspots

Exploring the structure of the digital economy through blockchain technology and mitigating adverse environmental effects with the aid of artificial neural networks

Enhancing environmental management through big data: spatial analysis of urban ecological governance and big data development

Enhanced defluoridation by nano-crystalline alum-doped hydroxyapatite and artificial intelligence (AI) modeling approach

Artificial intelligence and IoT driven technologies for environmental pollution monitoring and management

Predicting groundwater level using traditional and deep machine learning algorithms

Integrated flood risk assessment in Hunza-Nagar, Pakistan: unifying big climate data analytics and multi-criteria decision-making with GIS