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

Original Research

Accepted on 13 Feb 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

Frontiers in Environmental Science

doi 10.3389/fenvs.2025.1549209

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

920 views

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

505 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

272 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

408 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

469 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

301 views

Original Research

Accepted on 26 Dec 2024

TourismNeuroxLSTM: Neuro-inspired xLSTM for Rural Tourism Planning and Innovation

in Big Data, AI, and the Environment

Jing Jiang
You Li

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1495313

165 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

559 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

1,322 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

767 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

712 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

739 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

1,306 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

785 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

13,541 views
5 citations

Navigation group

Articles

SFDformer: A Frequency-Based Sparse Decomposition Transformer for Air Pollution Time Series Prediction

iMESc – an interactive machine learning app for environmental sciences

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

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

YOLOGX: an improved forest fire detection algorithm based on YOLOv8

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

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

TourismNeuroxLSTM: Neuro-inspired xLSTM for Rural Tourism Planning and Innovation

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

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