Tanujit Chakraborty
PulseAugur coverage of Tanujit Chakraborty — every cluster mentioning Tanujit Chakraborty across labs, papers, and developer communities, ranked by signal.
4 day(s) with sentiment data
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New TREA-Net model improves dengue forecasting with limited data
Researchers have developed TREA-Net, a novel network designed for forecasting dengue incidence in regions with limited historical data. This model augments existing neural forecasting backbones with projections from an …
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ANGLE framework offers new approach to circular data regression
Researchers have introduced ANGLE, a novel deep generative framework designed for regression on circular data, such as angles and directions. This method addresses limitations of traditional regression techniques by lea…
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New long-memory reservoir computing enhances dengue forecasting
Researchers have developed a novel long-memory reservoir computing framework to improve dengue forecasting, particularly in data-scarce scenarios. The proposed system integrates dedicated long-memory and short-memory Ec…
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New deep learning model enhances probabilistic epidemic forecasting
Researchers have developed a new deep generative spatiotemporal engression method for more accurate and reliable probabilistic forecasting of epidemics. This approach quantifies uncertainty endogenously, providing proba…
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New NARFIMA model enhances BRIC exchange rate forecasting
Researchers have developed a new Neural AutoRegressive Fractionally Integrated Moving Average (NARFIMA) model to improve the forecasting of exchange rates for emerging economies like Brazil, Russia, India, and China (BR…
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New GCSVR model improves urban air pollution forecasting accuracy
Researchers have developed a new Graph Convolutional Support Vector Regression (GCSVR) framework designed to improve the accuracy of urban air pollution forecasting. This model integrates graph convolutional learning to…