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07/11/2023
SepHRNet: Generating High-Resolution Crop Maps from Remote Sensing imagery using HRNet with Separable Convolution
The accurate mapping of crop production is crucial for ensuring food sec...
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05/28/2022
Agent-based Simulation of District-based Elections
In district-based elections, electors cast votes in their respective dis...
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05/28/2022
Deep Learning-based Spatially Explicit Emulation of an Agent-Based Simulator for Pandemic in a City
Agent-Based Models are very useful for simulation of physical or social ...
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02/25/2022
Exploring Fairness in District-based Multi-party Elections under different Voting Rules using Stochastic Simulations
Many democratic societies use district-based elections, where the region...
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04/04/2021
City-scale Simulation of Covid-19 Pandemic and Intervention Policies using Agent-based Modelling
During the Covid-19 pandemic, most governments across the world imposed ...
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08/19/2020
Spatio-temporal relationships between rainfall and convective clouds during Indian Monsoon through a discrete lens
The Indian monsoon, a multi-variable process causing heavy rains during ...
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06/21/2020
Electoral David vs Goliath: How does the Spatial Concentration of Electors affect District-based Elections?
Many democratic countries use district-based elections where there is a ...
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12/18/2018
Video Trajectory Classification and Anomaly Detection Using Hybrid CNN-VAE
Classifying time series data using neural networks is a challenging prob...
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05/01/2018
Spatio-temporal Patterns of Indian Monsoon Rainfall
The primary objective of this paper is to analyze a set of canonical spa...
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05/01/2018
A Discrete View of the Indian Monsoon to Identify Spatial Patterns of Rainfall
We propose a representation of the Indian summer monsoon rainfall in ter...
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10/18/2017
Identifying Coherent Anomalies in Multi-Scale Spatio-Temporal Data using Markov Random Fields
Many physical processes involve spatio-temporal observations, which can ...
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04/19/2015
Exploring Bayesian Models for Multi-level Clustering of Hierarchically Grouped Sequential Data
A wide range of Bayesian models have been proposed for data that is divi...
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09/22/2014
