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

Original Research

Accepted on 09 Apr 2025

Gas Pipeline Leakage Detection Based on Multiple Multimodal Deep Feature Selections and Optimized Deep Forest Classifier

in Big Data, AI, and the Environment

Eddie Zhang
Evan Zhang

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1569621

Review

Published on 04 Apr 2025

Enhancing environmental observatories with fog computing

in Big Data, AI, and the Environment

Ammar Kazem
Guillaume Pierre
Laurent Longuevergne

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1568016

386 views

Original Research

Accepted on 01 Apr 2025

Integration of Deep Learning and Railway Big Data for Environmental Risk Prediction Models and Their Limitations Analysis

in Big Data, AI, and the Environment

Lyubai Hang

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1550745

Original Research

Published on 01 Apr 2025

Comparison of machine learning methods for predicting ground-level ozone pollution in Beijing

in Big Data, AI, and the Environment

Zitao Liu
Zhigang Lu
Weidong Zhu
Jiansheng Yuan
Zhaoxiang Cao
Tiantian Cao
Shuai Liu
Yuelin Xu
Xiaoshan Zhang

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1561794

578 views

Original Research

Accepted on 28 Mar 2025

Deep Learning Approaches for Time Series Prediction in Climate Resilience Applications

in Big Data, AI, and the Environment

Jin Dong

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1574981

Correction

Published on 21 Mar 2025

Corrigendum: 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
Hao Deng
Xing You
Jiaang Tong
Bingkun Yuan
Zihao Zeng

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1592508

309 views

Original Research

Published on 18 Mar 2025

Evacuation path optimization algorithm for grassland fires based on SAR imagery and intelligent optimization

in Big Data, AI, and the Environment

Ziyang Zhang
Lingye Tan
Robert L. K. Tiong

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1522933

410 views

Original Research

Published on 17 Mar 2025

SFDformer: a frequency-based sparse decomposition transformer for air pollution time series prediction

in Big Data, AI, and the Environment

Zhenkai Qin
Baozhong Wei
Caifeng Gao
Xiaolong Chen
Hongfeng Zhang
Cora Un In Wong

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1549209

449 views

Technology and Code

Published on 31 Jan 2025

iMESc – an interactive machine learning app for environmental sciences

in Big Data, AI, and the Environment

Danilo Cândido Vieira
Fabiana S. Paula
Luciana Erika Yaginuma
Gustavo Fonseca

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1533292

1,580 views
3 citations

Original Research

Published on 22 Jan 2025

Investigation of a transformer-based hybrid artificial neural networks for climate data prediction and analysis

in Big Data, AI, and the Environment

Shangke Liu
Ke Liu
Zheng Wang
Yuanyuan Liu
Bin Bai
Rui Zhao

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1464241

824 views

Original Research

Published on 10 Jan 2025

A vision-language model for predicting potential distribution land of soybean double cropping

in Big Data, AI, and the Environment

Bei Gao
Yuefeng Liu
Yanli Li
Hongmei Li
Meirong Li
Wenli He

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1515752

443 views

Original Research

Published on 07 Jan 2025

YOLOGX: an improved forest fire detection algorithm based on YOLOv8

in Big Data, AI, and the Environment

Caixiong Li
Yue Du
Xing Zhang
Peng Wu

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1486212

815 views

Original Research

Published on 06 Jan 2025

Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration

in Big Data, AI, and the Environment

Aleksandra A. Pachalieva
Jeffrey D. Hyman
Daniel O’Malley
Gowri Srinivasan
Hari Viswanathan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1454295

746 views

Original Research

Published on 03 Jan 2025

Novel disctete grey Bernoulli seasonal model with a time powter term for predicting monthly carbon dioxide emissions in the United States

in Big Data, AI, and the Environment

Jianming Jiang
Yandong Ban
Sheng Nong

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1513387

419 views

Original Research

Published on 11 Dec 2024

Enhancing environmental sustainability through code-driven process integration in the petrochemical industry

in Big Data, AI, and the Environment

Muhammad Ahsan
Lixin Tian
Ruijin Du
Amel Ali Alhussan
El-Sayed M. El-kenawy

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1389639

766 views

Original Research

Published on 26 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
Hao Deng
Xing You
Jiaang Tong
Bingkun Yuan
Zihao Zeng

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1497941

1,832 views
3 citations