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Jaume Manero
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2020 – today
- 2024
- [c5]Nupur Gaikwad, Darshana Upadhyay, Jaume Manero, Srinivas Sampalli:
IoT-Enabled Pediatric Pain Care Leveraging Majority Vote-Based Transfer Learning Models. CIoT 2024: 1-8 - 2023
- [c4]Darshana Upadhyay, Qiaodan Luo, Jaume Manero, Marzia Zaman, Srinivas Sampalli:
Comparative Analysis of Tabular Generative Adversarial Network (GAN) Models for Generation and Validation of Power Grid Synthetic Datasets. EUROCON 2023: 677-682 - 2021
- [j4]Jaume Manero, Javier Béjar:
Forecastability Measures that Describe the Complexity of a Site for Deep Learning Wind Predictions. Supercomput. Front. Innov. 8(1): 8-27 (2021) - [j3]Darshana Upadhyay, Jaume Manero, Marzia Zaman, Srinivas Sampalli:
Intrusion Detection in SCADA Based Power Grids: Recursive Feature Elimination Model With Majority Vote Ensemble Algorithm. IEEE Trans. Netw. Sci. Eng. 8(3): 2559-2574 (2021) - [j2]Darshana Upadhyay, Jaume Manero, Marzia Zaman, Srinivas Sampalli:
Gradient Boosting Feature Selection With Machine Learning Classifiers for Intrusion Detection on Power Grids. IEEE Trans. Netw. Serv. Manag. 18(1): 1104-1116 (2021) - [c3]Jaume Manero, Javier Béjar, Ulises Cortés:
Wind Prediction Using Deep Learning and High Performance Computing. CARLA 2021: 193-207 - 2020
- [b1]Jaume Manero Font:
Deep learning architectures applied to wind time series multi-step forecasting. Polytechnic University of Catalonia, Spain, 2020
2010 – 2019
- 2018
- [j1]Jaume Manero, Javier Béjar, Ulises Cortés:
Wind Energy Forecasting with Neural Networks: A Literature Review. Computación y Sistemas 22(4) (2018) - [c2]Jaume Manero, Javier Béjar, Ulises Cortés:
Go with the Flow: Recurrent Networks for Wind Time Series Multi-Step Forecasting. CCIA 2018: 79-83 - [c1]Jaume Manero, Javier Béjar, Ulises Cortés:
Predicting Wind Energy Generation with Recurrent Neural Networks. IDEAL (1) 2018: 89-98
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