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Found 4 papers, 3 papers with code
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Since their inception in 2014, Generative Adversarial Networks (GANs) have rapidly emerged as powerful tools for generating realistic and diverse data across various domains, including computer vision and other applied areas.
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
In comparison with statistical, machine learning, and deep learning methods, our proposed XEWNet performs better in 75% of the cases for short-term and long-term forecasting of dengue incidence.
Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics
Unfortunately, most of these past epidemics exhibit nonlinear and non-stationary characteristics due to their spreading fluctuations based on seasonal-dependent variability and the nature of these epidemics.
Probabilistic AutoRegressive Neural Networks for Accurate Long-range Forecasting
In this study, we introduce the Probabilistic AutoRegressive Neural Networks (PARNN), capable of handling complex time series data exhibiting non-stationarity, nonlinearity, non-seasonality, long-range dependence, and chaotic patterns.
