Tanujit Chakraborty

TREA-Net achieves a remarkable improvement in dengue forecasting accuracy, even in regions with minimal data, making it a game-changer for public health interventions.

ANGLE achieves superior predictive performance on circular data tasks, revealing that traditional regression methods can lead to significant misestimations.

Long-memory reservoir computing models can dramatically enhance dengue forecasting accuracy, outperforming traditional methods and deep learning approaches in data-scarce environments.