8 papers
GraphSVR: A Graph Convolutional Support Vector Regression Framework for Robust Spatiotemporal Air Pollution Forecasting
Nourin Jahan, Muhammed Navas T, Tanujit Chakraborty +1
Urban air quality forecasting is challenging because pollutant concentrations are nonlinear, nonstationary, spatiotemporally dependent, and often affected by anomalous observations…
Salt-Rock Creep Deformation Forecasting Using Deep Neural Networks and Analytical Models for Subsurface Energy Storage Applications
Pradeep Kumar Shukla, Tanujit Chakraborty, Mustafa Sari +2
This study provides an in-depth analysis of time series forecasting methods to predict the time-dependent deformation trend (also known as creep) of salt rock under varying confini…
E-STGCN: Extreme Spatiotemporal Graph Convolutional Networks for Air Quality Forecasting
Madhurima Panja, Tanujit Chakraborty, Anubhab Biswas +1
Modeling and forecasting air quality is crucial for effective air pollution management and protecting public health. Air quality data, characterized by nonlinearity, nonstationarit…
Epidemic-guided deep learning for spatiotemporal forecasting of Tuberculosis outbreak
Madhab Barman, Madhurima Panja, Nachiketa Mishra +1
Tuberculosis (TB) remains a formidable global health challenge, driven by complex spatiotemporal transmission dynamics and influenced by factors such as population mobility and beh…
A Compounded Burr Probability Distribution for Fitting Heavy-Tailed Data with Applications to Biological Networks
Tanujit Chakraborty, Swarup Chattopadhyay, Suchismita Das +2
Complex biological networks, encompassing metabolic pathways, gene regulatory systems, and protein-protein interaction networks, often exhibit scale-free structures characterized b…
Footprints of Data in a Classifier: Understanding the Privacy Risks and Solution Strategies
Payel Sadhukhan, Tanujit Chakraborty
The widespread deployment of Artificial Intelligence (AI) across government and private industries brings both advancements and heightened privacy and security concerns. Article 17…