409 results on '"Mariani, Viviana Cocco"'
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2. Web pages from mockup design based on convolutional neural network and class activation mapping
3. Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
4. Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models
5. Bilinear optimization of protein structure prediction: An exact approach via AB off-lattice model
6. Hypertuned temporal fusion transformer for multi-horizon time series forecasting of dam level in hydroelectric power plants
7. Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
8. A comprehensive review on Jaya optimization algorithm
9. Deep reinforcement learning applied to a sparse-reward trading environment with intraday data
10. Optimized hybrid ensemble learning approaches applied to very short-term load forecasting
11. Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
12. Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables
13. Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model
14. Analyzing CARLA ’s performance for 2D object detection and monocular depth estimation based on deep learning approaches
15. Prediction of the NOx and CO2 emissions from an experimental dual fuel engine using optimized random forest combined with feature engineering
16. Ensemble learning methods using the Hodrick–Prescott filter for fault forecasting in insulators of the electrical power grids
17. Ensemble Learning Models Coupled with Urban Mobility Information Applied to Predict COVID-19 Incidence Cases
18. Cooperative ensemble learning model improves electric short-term load forecasting
19. Extreme gradient boosting model based on improved Jaya optimizer applied to forecasting energy consumption in residential buildings
20. Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
21. Discrete differential evolution metaheuristics for permutation flow shop scheduling problems
22. Optimization of operating conditions of the Fischer–Tropsch synthesis based on multi-objective differential evolution algorithm
23. Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting
24. Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam
25. Maximizing volumetric efficiency using stochastic optimization techniques for internal combustion engines
26. Random Convolutional Kernel Transform with Empirical Mode Decomposition for Classification of Insulators from Power Grid
27. Random Convolutional Kernel Transform with Empirical Mode Decomposition for Medium Voltage Insulator Classification based on Ultrasound Sensor
28. Ensemble Learning Models Coupled with Urban Mobility Information Applied to Predict COVID-19 Incidence Cases
29. Multi-objective lightning search algorithm applied to wind farm layout optimization
30. A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
31. Hybrid multi-stage decomposition with parametric model applied to wind speed forecasting in Brazilian Northeast
32. Wavelet group method of data handling for fault prediction in electrical power insulators
33. Binary coyote optimization algorithm for feature selection
34. Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods
35. Self-adaptive differential evolution applied to combustion engine calibration
36. Review of: "Variable selection in generalized extreme value regression model using Bootstrap method"
37. On the use of particle-wall interaction models to predict particle-laden flow in 90-deg bends
38. Design of heat exchangers using Falcon Optimization Algorithm
39. Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
40. Multi-objective optimization of the environmental-economic dispatch with reinforcement learning based on non-dominated sorting genetic algorithm
41. Wind turbine blade geometry design based on multi-objective optimization using metaheuristics
42. Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution
43. Video-Based Human Activity Recognition Using Deep Learning Approaches
44. Group Method of Data Handling Using Christiano–Fitzgerald Random Walk Filter for Insulator Fault Prediction
45. Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
46. Fuzzy Inference System Approach Using Clustering and Differential Evolution Optimization Applied to Identification of a Twin Rotor System
47. Thermodynamic optimization design for plate-fin heat exchangers by Tsallis JADE
48. Economic optimization design for shell-and-tube heat exchangers by a Tsallis differential evolution
49. Solving non-smooth economic dispatch by a new combination of continuous GRASP algorithm and differential evolution
50. Structure Optimization of Ensemble Learning Methods and Seasonal Decomposition Approaches to Energy Price Forecasting in Latin America: A Case Study about Mexico
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