Francisco Martínez-Álvarez

Emerging trends in big data analytics and natural disasters

2024/1

Pattern sequence-based algorithm for multivariate big data time series forecasting: Application to electricity consumption

Future Generation Computer Systems

2024/5/1

A Bayesian optimization-based LSTM model for wind power forecasting in the Adama district, Ethiopia

Energies

2023/2/28

Embedded Temporal Feature Selection for Time Series Forecasting Using Deep Learning

2023/6/19

A new deep learning architecture with inductive bias balance for transformer oil temperature forecasting

Journal of Big Data

2023/5/28

Machine Learning Approaches for Predicting Tree Growth Trends Based on Basal Area Increment

2023/8/31

Explainable hybrid deep learning and Coronavirus Optimization Algorithm for improving evapotranspiration forecasting

Computers and Electronics in Agriculture

2023/12/1

International Joint Conference 16th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2023) 14th International Conference on …

2023

Creating a homogenized earthquake catalog for Algeria and mapping the main seismic parameters using a geographic information system

Journal of African Earth Sciences

2023/5/1

Predicting Wildfires in the Caribbean Using Multi-source Satellite Data and Deep Learning

2023/6/19

A New Hybrid CNN-LSTM for Wind Power Forecasting in Ethiopia

2023/8/29

A novel semantic segmentation approach based on U-Net, WU-Net, and U-Net++ deep learning for predicting areas sensitive to pluvial flood at tropical area

International Journal of Digital Earth

2023/10/2

Fraud detection of electricity consumption using robust exponential and holt-winters smoothing method

2023/4/29

Deep Learning-Based Approach for Sleep Apnea Detection Using Physiological Signals

2023/6/19

Hybrid Artificial Intelligent Systems: 18th International Conference, HAIS 2023, Salamanca, Spain, September 5–7, 2023, Proceedings

2023/8/28

Electricity consumption forecasting with outliers handling based on clustering and deep learning with application to the Algerian market

Expert Systems with Applications

2023/10/1

A bioinspired ensemble approach for multi-horizon reference evapotranspiration forecasting in Portugal

2023/3/27

PHILNet: A novel efficient approach for time series forecasting using deep learning

Information Sciences

2023/6/1

FS-Studio: An extensive and efficient feature selection experimentation tool for Weka Explorer

SoftwareX

2023/7/1

Explaining Learned Patterns in Deep Learning by Association Rules Mining

2023/8/31