Technology and Code
Accepted on 13 Jan 2025
iMESc -A interactive machine learning app for environmental sciences
in Big Data, AI, and the Environment
Frontiers in Environmental Science
doi 10.3389/fenvs.2025.1533292
Type at least 3 characters
42 articles
Articles
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
- 125 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
- 211 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
- 228 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
- 224 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1495313
- 126 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
- 447 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
- 1,056 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1464241
- 149 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
- 675 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1440396
- 601 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1416765
- 711 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1429410
- 1,167 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1391770
- 713 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1375193
- 9,401 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
Frontiers in Environmental Science
doi 10.3389/fenvs.2024.1409072
- 798 views