Original Research

Accepted on 23 Dec 2024

A Vision-Language Model for Predicting Potential Distribution Land of Soybean Double Cropping

in Big Data, AI, and the Environment

Gao Bei

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1515752

Original Research

Accepted on 18 Dec 2024

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

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

334 views

Original Research

Accepted on 10 Dec 2024

Learning the Factors Controlling Mineral Dissolution in Three-Dimensional Fracture Networks: Applications in Geologic Carbon Sequestration

in Big Data, AI, and the Environment

Aleksandra Pachalieva
Jeffrey Hyman
Daniel O'Malley
Gowri Srinivasan
Hari Viswanathan

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1454295

Original Research

Accepted on 06 Dec 2024

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

jiang jianming
Ban Yandong
Nong Sheng

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1513387

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

849 views

Original Research

Accepted on 25 Nov 2024

Investigation of a Transformer-Based Hybrid Artificial Neural Networks for Climate Data Prediction and Analysis

in Big Data, AI, and the Environment

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

Frontiers in Environmental Science

doi 10.3389/fenvs.2024.1464241

131 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

586 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

528 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

670 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

1,081 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

674 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

5,586 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

717 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

1,548 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

748 views

Navigation group

Articles

A Vision-Language Model for Predicting Potential Distribution Land of Soybean Double Cropping

YOLOGX: An Improved Forest Fire Detection Algorithm Based on YOLOv8

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

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

Spatial-temporal evolution characteristics and driving factors of carbon emission prediction in China-research on ARIMA-BP neural network algorithm

Investigation of a Transformer-Based Hybrid Artificial Neural Networks for Climate Data Prediction and Analysis

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