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ENTITY Tanujit Chakraborty

Tanujit Chakraborty

PulseAugur coverage of Tanujit Chakraborty — every cluster mentioning Tanujit Chakraborty across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_171902 ·

    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 …

  2. RESEARCH · CL_143318 ·

    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…

  3. RESEARCH · CL_141043 ·

    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…

  4. TOOL · CL_128589 ·

    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…

  5. TOOL · CL_29557 ·

    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…

  6. RESEARCH · CL_18339 ·

    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…