Review
Published on 04 Apr 2025
Enhancing environmental observatories with fog computing
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1568016
- 142 views
Type at least 3 characters
48 articles
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
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
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1561794
- 436 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
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
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1592508
- 271 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1522933
- 371 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1549209
- 402 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1533292
- 1,488 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1464241
- 770 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1515752
- 419 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1486212
- 756 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1454295
- 716 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1513387
- 408 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1389639
- 743 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1497941
- 1,768 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1408370
- 902 views