All Stories

  1. Implicitly adaptive optimal proposal in variational inference for Bayesian learning
  2. Enhancing CNN structure and learning through NSGA-II-based multi-objective optimization
  3. Gaussian mixture models for training Bayesian convolutional neural networks
  4. A Deep-Reinforcement-Learning-Based Digital Twin for Manufacturing Process Optimization
  5. Expected Lenient Q-learning: a fast variant of the Lenient Q-learning algorithm for cooperative stochastic Markov games
  6. MSCC-DRL: Multi-Stage constant current based on deep reinforcement learning for fast charging of lithium ion battery
  7. Sparse smooth group L0∘
  8. Adaptive partition of unity networks (APUNet): a localized deep learning method for solving PDEs
  9. Smooth Q-Learning: An Algorithm for Independent Learners in Stochastic Cooperative Markov Games
  10. Data Augmentation with Image Fusion Techniques for Brain Tumor Classification using Deep Learning
  11. Online prediction of automotive tempered glass quality using machine learning
  12. State of Charge Estimation of Lithium-ion Batteries Using Artificial Intelligence Based on Entropy and Enthalpy Variation
  13. Artificial Intelligence and Industrial Applications
  14. Genetic Algorithm for CNN Architecture Optimization
  15. Learning Sparse Fully Connected Layers in Convolutional Neural Networks
  16. Artificial Intelligence and Industrial Applications
  17. Advancing Lithium-Ion Battery Management with Deep Learning: A Comprehensive Review
  18. A Learning-Based Decision Tool towards Smart Energy Optimization in the Manufacturing Process
  19. Online Prediction of Automotive Tempered Glass Quality using Machine Learning
  20. Improved Hourly Prediction of BIPV Photovoltaic Power Building Using Artificial Learning Machine: A Case Study
  21. A New Smoothing Approach for Piecewise Smooth Functions: Application to Some Fundamental Functions
  22. Scenarios for ADAS Testing: Modeling and Design
  23. Smoothing approximations for piecewise smooth functions: A probabilistic approach
  24. Artificial Intelligence and Industrial Applications
  25. Artificial Intelligence and Industrial Applications
  26. Machine learning for KPIs prediction: a case study of the overall equipment effectiveness within the automotive industry
  27. A Deep Reinforcement Learning (DRL) Decision Model for Heating Process Parameters Identification in Automotive Glass Manufacturing
  28. A New Approach for Multi-agent Reinforcement Learning
  29. Deep Learning Approach for Automated Guided Vehicle System
  30. Distributed and Embedded System to Control Traffic Collision Based on Artificial Intelligence
  31. Classification and Watermarking of Brain Tumor Using Artificial and Convolutional Neural Networks
  32. A dynamic configuration with a shared knowledge centre for multi-objective ant colony optimisation algorithms
  33. Deep Convolutional Neural Networks with Transfer Learning for Old Buildings Pathologies Automatic Detection
  34. Using Machine Learning Algorithms for the Prediction of Industrial Process Parameters Based on Product Design
  35. Using Machine Learning for Predicting Efficiency in Manufacturing Industry
  36. A dynamic configuration with a shared knowledge centre for multi-objective ant colony optimisation algorithms
  37. Towards an Improved CNN Architecture for Brain Tumor Classification
  38. A New Approach for Dynamic Parametrization of Ant System Algorithms
  39. Novel signal representation of descriptors dependency in information retrieval based on wavelet spectral analysis
  40. Observation and Control of Elastic Waves