44 citations as recorded by crossref.

1. Reduced-order estimator with error-triggered data assimilation correction: Towards a digital twin of gas–solid flow reactors H. Chen et al.
2. PhyQ-Mamba: physics-query guided dual-stream Mamba for daily CO2 emission forecasting W. Bao et al.
3. Feasibility Study on Contactless Feature Analysis for Early Drowsiness Detection in Driving Scenarios Y. Choi et al.
4. Explainable global wildfire prediction model using graph neural networks D. Chen et al.
5. RL-DAUNCE: Reinforcement Learning-Driven Data Assimilation with Uncertainty-Aware Constrained Ensembles P. Behnoudfar & N. Chen
6. FUZ-SMO: A fuzzy slime mould optimizer for mitigating false alarm rates in the classification of underwater datasets using deep convolutional neural networks D. liang Zhang et al.
7. Nonlinear model order reduction of engineering turbulence using data-assisted neural networks C. Zhu et al.
8. A Generative Model for Surrogates of Spatial-Temporal Wildfire Nowcasting S. Cheng et al.
9. PoachNet: Predicting Poaching Using an Ontology-Based Knowledge Graph N. Hamed et al.
10. Mountain flood forecasting in small watershed based on loop multi-step machine learning regression model S. Wang et al.
11. SDN-Enabled IoT Based Transport Layer DDoS Attacks Detection Using RNNs M. Sheikh et al.
12. Impact of Data Capture Methods on 3D Reconstruction with Gaussian Splatting D. Rangelov et al.
13. Evaluation of Flooding Disaster Risks for Subway Stations Based on the PSR Cloud Model J. Liu et al.
14. Safety assessment and operational boundary modeling for rescue aircraft in forest fire environments via spatiotemporal graph learning J. Yuan et al.
15. Integrating Web-Based Weather Data into Building Information Modeling Models through Robot Process Automation E. Atencio et al.
16. Next Generation Computing and Communication Hub for First Responders in Smart Cities O. Shaposhnyk et al.
17. Design of a reinforcement learning-based intelligent car transfer planning system for parking lots F. Guo et al.
18. Harnessing hybrid digital twinning for decision-support in smart infrastructures H. Liang et al.
19. Optimizing a Bayesian Method for Estimating the Hurst Exponent in Behavioral Sciences M. Mangalam et al.
20. 资料同化中的人工智能技术：新兴方法、关键挑战与未来展望 悟. 王 et al.
21. Forest Fire Analysis Prediction and Digital Twin Verification: A Trinity Framework and Application W. Li et al.
22. Generative deep learning for data generation in natural hazard analysis: motivations, advances, challenges, and opportunities Z. Ma et al.
23. A Novel MLLM-Based Approach for Autonomous Driving in Different Weather Conditions S. Fourati et al.
24. Digital twin-enabled post-disaster damage and recovery monitoring with deep learning: leveraging transfer learning, attention mechanisms, and explainable AI U. Lagap & S. Ghaffarian
25. Wide-range constitutive modeling with multi-fidelity physics-guided neural network Y. Huang et al.
26. Estimating Tea Plant Physiological Parameters Using Unmanned Aerial Vehicle Imagery and Machine Learning Algorithms Z. Zhuang et al.
27. Data‐Driven Urban Digital Twins and Critical Infrastructure Under Climate Change: A Review of Frameworks and Applications M. Zhu & J. Jin
28. Digital Twins in Agriculture and Forestry: A Review A. Tagarakis et al.
29. Non-Convex Metric Learning-Based Trajectory Clustering Algorithm X. Lei & H. Wang
30. Intelligent fire modeling in wildland-urban interface: A comprehensive review of current progress, challenges, and future perspectives A. Zheng et al.
31. Digital Twin-Based Wildfire Simulation on a 1 m DEM and Adaptive Water-Mist Optimization for Heritage Protection: Bogwangsa Temple, South Korea S. Lee et al.
32. Advanced Deep Learning Approaches for Forecasting High-Resolution Fire Weather Index (FWI) over CONUS: Integration of GNN-LSTM, GNN-TCNN, and GNN-DeepAR S. Shahriar et al.
33. AI for Wildfire Management: From Prediction to Detection, Simulation, and Impact Analysis—Bridging Lab Metrics and Real-World Validation N. Caron et al.
34. A surrogate approach to model groundwater level in time and space based on tree regressors P. Martínez-Santos et al.
35. Modeling of Wildfire Digital Twin: Research Progress in Detection, Simulation, and Prediction Techniques Y. Huang et al.
36. Digital twin-based decision support systems for natural disaster management: A systematic review of current trends and approaches S. Inyang & F. Taghikhah
37. R-CNN and YOLOV4 based Deep Learning Model for intelligent detection of weaponries in real time video K. Vijayakumar et al.
38. AI-Assisted Fatigue and Stamina Control for Performance Sports on IMU-Generated Multivariate Times Series Datasets A. Biró et al.
39. Latent space-based machine learning prediction of coupled flame-flow fields in a hydrogen-enriched syngas combustor Y. Yang et al.
40. Digital post-disaster risk management twinning: A review and improved conceptual framework U. Lagap & S. Ghaffarian
41. AI-Driven precision in solar forecasting: Breakthroughs in machine learning and deep learning A. Nadeem et al.
42. Error-based efficient parameter space partitioning for mesh adaptation and local reduced order models S. Bhat et al.
43. Hierarchical Autoencoder-Based Lossy Compression for Large-Scale High-Resolution Scientific Data H. Le & J. Tao
44. Artificial Intelligence techniques in data assimilation: Emerging approaches, key challenges, and future prospects W. Wang et al.