Generative adversarial networks for spatio-temporal data: A survey
Generative Adversarial Networks (GANs) have shown remarkable success in producing
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
realistic-looking images in the computer vision area. Recently, GAN-based techniques are …
Data-driven water need estimation for IoT-based smart irrigation: A survey
Precision irrigation plays an important socio-economic and environmental role in our
society, reducing water and electricity consumption and increasing food production. An …
society, reducing water and electricity consumption and increasing food production. An …
Saits: Self-attention-based imputation for time series
Missing data in time series is a pervasive problem that puts obstacles in the way of
advanced analysis. A popular solution is imputation, where the fundamental challenge is to …
advanced analysis. A popular solution is imputation, where the fundamental challenge is to …