Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Machine Learning — 5 papers
• Fault Detection and Control Systems — 4 papers
• Reliability and Maintenance Optimization — 3 papers
• Thermochemical Biomass Conversion Processes — 2 papers
• Probabilistic and Robust Engineering Design — 2 papers
• Iron and Steelmaking Processes — 2 papers
• Digital Transformation in Industry — 2 papers
• Granular flow and fluidized beds — 2 papers
• Econometrics — 1 papers
• Advanced Combustion Engine Technologies — 1 papers

Highest-Cited Papers

1. A Physics-Guided Transformer–LSTM prediction Model with dynamic feature weighting for NOx emission prediction in CFB boilers
2. Interpretable Spatiotemporal Coupling Network for Robust Emission Prediction and Implicit Mechanism Mining in Sludge Gasification
3. Physics-guided deep reinforcement learning framework for reliability-based design optimization of complex mechanical systems
4. Development and Validation of a Dynamic Bayesian Network‐Based Adaptive Reliability Optimization Model Using Design of Experiments and Expected Information Gain
5. Conditionally linear, matrix normal state space models
6. A physics-data hybrid modeling method for aeroengine component via CMA-ES-based steady-state calibration and Mamba-based dynamic compensation
7. Knowledge graph-based software agent for monitoring data real-time diagnosis and reconstruction: A cable net monitoring case
8. Active learning strategy for excursion-set confidence regions of functional simulator outputs
9. Blast furnace conditions evaluation and prediction system based on temporal convolutional network
10. Decision Making for Condition‐Based Maintenance of Rotating Machinery
11. Dual-Level XAI-Guided Digital Twin Framework for Prescriptive Decision Making in Sensor-Driven Manufacturing
12. An Adaptive Smoothing-Constrained Broad Learning System for Truck-Scale Weighing
13. THE LIMINAL FIELD: Distinguishing Is Fundamental
14. A Dynamic Relationship-Aware Approach to Flotation Concentrate Grade Prediction Using DGraFormer
15. Hankel-Koopman Finite-Horizon Energy Decomposition of Coupled Experimental Data: A Three-Phase Data-Driven Twin Forecasting Framework
16. IoT-based multi-sensor fusion predictive maintenance of 3D printers using an ensemble model framework
17. An integrated data-driven framework for predicting degradation trends of pumped storage units
18. A multi-information dynamic fitting weighted strategy based on process knowledge for quality-driven process monitoring
19. MIMO and Multi-Group Comparison Problem in Process Control: A Multivariate Statistical Framework for Systems Represented with Frequency Response Functions
20. Multi-Scale Temporal-Dependency Learning for Single-Sensor Gas Classification