403 citations · 659 across the 11 of their papers we have counts for
13 papers
TempoBridge: Language-Guided Tempo Control for Vision-Language-Action Policies
Yeonseo Lee, Hyosup Shin, Guebin Hwang +1
Vision-Language-Action (VLA) models are effective at understanding what task to perform, but provide limited control over how it should be executed, such as moving quickly or slowl…
M-SDT: A modelling framework for dengue transmission, forecasting, and intervention strategies in Ahmedabad Municipal Corporation
Sourav Roy, Rajendra Gadhavi, Bhavin Solanki +3
Dengue fever poses a persistent public health challenge in rapidly urbanizing Indian cities such as Ahmedabad, where spatial heterogeneity and seasonal variability complicate forec…
Anticipating dengue outbreaks using a novel hybrid ARIMA-ARNN model with exogenous variables
I. Ghosh, S. Gupta, S. Rana
Dengue incidence forecasting using hybrid models has been surging in the data rich world. Hybridization of statistical time series forecasting models and machine learning models ar…
An ensemble neural network approach to forecast Dengue outbreak based on climatic condition
Madhurima Panja, Tanujit Chakraborty, Sk Shahid Nadim +3
Dengue fever is a virulent disease spreading over 100 tropical and subtropical countries in Africa, the Americas, and Asia. This arboviral disease affects around 400 million people…
A mechanistic model for airborne and direct human-to-human transmission of COVID-19: Effect of mitigation strategies and immigration of infectious persons
Saheb Pal, Indrajit Ghosh
The COVID-19 pandemic is the most significant global crisis since World War II that affected almost all the countries of our planet. To control the COVID-19 pandemic outbreak, it i…
Metapopulation dynamics of a respiratory disease with infection during travel
Indrajit Ghosh, Sk Shahid Nadim, Soumyendu Raha +1
We formulate a compartmental model for the propagation of a respiratory disease in a patchy environment. The patches are connected through the mobility of individuals, and we assum…