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

Original Research

Published on 16 May 2025

A soil organic carbon mapping method based on transfer learning without the use of exogenous data

in Big Data, AI, and the Environment

Jingfeng Han
Mujie Wu
Yanlong Qi
Xiaoning Li
Xiao Chen
Jing Wang
Jinlong Zhu
Qingliang Li

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1580085

360 views

Original Research

Accepted on 14 May 2025

Deep Learning-Based Object Detection for Environmental Monitoring Using Big Data

in Big Data, AI, and the Environment

Wenbo Lin

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1566224

152 views

Original Research

Accepted on 12 May 2025

Comparative Analysis of Inflow Forecasting using Machine Learning and Statistical Techniques: Case Study of Mangla Reservoir and Marala Headworks

in Big Data, AI, and the Environment

Muhammad Muneeb Khan
Muhammad Kaleem Sarwar
Muhammad Awais Zafar
Muhammad Rashid
Muhammad Atiq Ur Rehman Tariq
Saif Haider
Abdelaziz M Okasha
Ahmed Z Dewidar
Mohamed A. Mattar
Ali Salem

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1590346

176 views

Original Research

Accepted on 09 May 2025

A Hybrid Approach to Advanced NER Techniques for AI-Driven Water and Agricultural Resource Management

in Big Data, AI, and the Environment

Yingying Shi

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1558317

Original Research

Published on 01 May 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

768 views

Original Research

Published on 28 Apr 2025

Deep learning approaches for time series prediction in climate resilience applications

in Big Data, AI, and the Environment

Cai Chen
Jin Dong

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1574981

561 views

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

1,024 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

148 views

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

1,276 views

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

522 views
1 citation

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

721 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

759 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

2,000 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

1,216 views
1 citation

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

723 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

1,313 views