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1. Machine learning ensembles, neural network, hybrid and sparse regression approaches for weather based rainfed cotton yield forecast.

2. Predicting rock–paper–scissors choices based on single‐trial EEG signals.

3. Improving the operational forecasts of outdoor Universal Thermal Climate Index with post-processing.

4. Global prediction of extreme floods in ungauged watersheds.

6. Guest Editorial: Artificial intelligence‐empowered reliable forecasting for energy sectors.

7. Multi-device wind turbine power generation forecasting based on hidden feature embedding.

8. Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions.

9. Medium‐term load forecasting of power system based on BiLSTM and parallel feature extraction network.

10. On Stock Volatility Forecasting under Mixed-Frequency Data Based on Hybrid RR-MIDAS and CNN-LSTM Models.

11. A short-term forecasting method for photovoltaic power generation based on the TCN-ECANet-GRU hybrid model.

12. High-percentage new energy distribution network line loss frequency division prediction based on wavelet transform and BIGRU-LSTM.

13. Three-pressure prediction method of jointing well-seismic data in JT1 well area of Sichuan Basin in China.

14. Autonomous Underwater Vehicle Trajectory Prediction with the Nonlinear Kepler Optimization Algorithm–Bidirectional Long Short-Term Memory–Time-Variable Attention Model.

15. Research on User Default Prediction Algorithm Based on Adjusted Homogenous and Heterogeneous Ensemble Learning.

16. AI Applications to Enhance Resilience in Power Systems and Microgrids—A Review.

17. Hybrid energy storage configuration methodology, taking into account the accumulation of wind farm forecast deviations.

18. Intelligent clustering-based interval forecasting method for photovoltaic power generation using CNN–LSTM neural network.

19. State of Health Prediction of Lithium-Ion Batteries Based on Multi-Kernel Relevance Vector Machine and Error Compensation.

20. Power Transformer On-Load Capacity-Regulating Control and Optimization Based on Load Forecasting and Hesitant Fuzzy Control.

21. An ultra-short-term forecasting method for multivariate loads of user-level integrated energy systems in a microscopic perspective: based on multi-energy spatio-temporal coupling and dual-attention mechanism.

22. Adaptive Whale Optimization Algorithm–DBiLSTM for Autonomous Underwater Vehicle (AUV) Trajectory Prediction.

23. A Performance Prediction Method for Talent Team Building Based on Integrated ISA-BP Neural Networks.

24. Improved Long-Term Forecasting of Passenger Flow at Rail Transit Stations Based on an Artificial Neural Network.

25. SurvConvMixer: robust and interpretable cancer survival prediction based on ConvMixer using pathway-level gene expression images.

26. Agricultural commodity futures prices prediction based on a new hybrid forecasting model combining quadratic decomposition technology and LSTM model.

27. Prediction of Buildings' Settlement Induced by Metro Station Deep Foundation Pit Construction.

28. Business unit controllers' credibility and the hardening of local forecasts.

29. DSTLNet: Dynamic Spatial-Temporal Correlation Learning Network for Traffic Sensor Signal Prediction.

30. A new dynamic state estimation method for distribution networks based on modified SVSF considering photovoltaic power prediction.

31. A Medium- and Long-Term Residential Load Forecasting Method Based on Discrete Cosine Transform-FEDformer.

32. Prediction of Network Security Situation Based on Attention Mechanism and Convolutional Neural Network–Gated Recurrent Unit.

33. Production quality prediction of cross-specification products using dynamic deep transfer learning network.

34. Short-Term Electricity Load Forecasting Based on Improved Data Decomposition and Hybrid Deep-Learning Models.

35. PMSTD-Net: A Neural Prediction Network for Perceiving Multi-Scale Spatiotemporal Dynamics.

36. The impact of simulated total surface current velocity observations on operational ocean forecasting and requirements for future satellite missions.

37. Improved SVM-LSTM-based resource flow forecasting for the low-carbon urban distribution grid.

38. Productivity and Keynes's 15-Hour Work Week Prediction for 2030: An Alternative, Macroeconomic Analysis for the United States.

39. A Time Series Prediction-Based Method for Rotating Machinery Detection and Severity Assessment.

40. The distributed strategy for asynchronous observations in data-driven wildland fire spread prediction.

41. Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Neural Network and Adaptive Unscented Kalman Filter.

42. Electric vehicle load forecasting based on convolutional networks with attention mechanism and federated learning method.

43. FORECASTING THE REAL AVERAGE RETIREMENT BENEFIT IN THE UNITED STATES USING OWA OPERATORS.

44. A STUDY ON THE PREDICTION METHOD OF ENGLISH PERFORMANCE IN UNIVERSITIES BASED ON THE STACKING INTEGRATED MODEL.

45. A physical virtual multi-graph convolutional coordinated prediction method for spatio-temporal electricity loads integrating multi-dimensional information.

46. Spatiotemporal Fusion Prediction of Sea Surface Temperatures Based on the Graph Convolutional Neural and Long Short-Term Memory Networks.

47. SSA-ELM: A Hybrid Learning Model for Short-Term Traffic Flow Forecasting.

48. Deep-Learning-Based Daytime COT Retrieval and Prediction Method Using FY4A AGRI Data.

49. Forecasting of Cryptocurrency Price and Financial Stability: Fresh Insights based on Big Data Analytics and Deep Learning Artificial Intelligence Techniques.

50. Improve robustness of machine learning via efficient optimization and conformal prediction.