Zobrazeno 1 - 10
of 609
pro vyhledávání: '"SHEKHAR, SHASHI"'
Given coarser-resolution projections from global climate models or satellite data, the downscaling problem aims to estimate finer-resolution regional climate data, capturing fine-scale spatial patterns and variability. Downscaling is any method to de
Externí odkaz:
http://arxiv.org/abs/2410.15628
Given a set \emph{S} of spatial feature types, its feature instances, a study area, and a neighbor relationship, the goal is to find pairs $<$a region ($r_{g}$), a subset \emph{C} of \emph{S}$>$ such that \emph{C} is a statistically significant regio
Externí odkaz:
http://arxiv.org/abs/2407.02536
Given a collection of Boolean spatial feature types, their instances, a neighborhood relation (e.g., proximity), and a hierarchical taxonomy of the feature types, the goal is to find the subsets of feature types or their parents whose spatial interac
Externí odkaz:
http://arxiv.org/abs/2407.00317
Autor:
Sharma, Arun, Shekhar, Shashi
Given trajectories with gaps (i.e., missing data), we investigate algorithms to identify abnormal gaps in trajectories which occur when a given moving object did not report its location, but other moving objects in the same geographic region periodic
Externí odkaz:
http://arxiv.org/abs/2403.06268
Autor:
Farhadloo, Majid, Sharma, Arun, Gupta, Jayant, Leontovich, Alexey, Markovic, Svetomir N., Shekhar, Shashi
Given multi-category point sets from different place-types, our goal is to develop a spatially-lucid classifier that can distinguish between two classes based on the arrangements of their points. This problem is important for many applications, such
Externí odkaz:
http://arxiv.org/abs/2402.14974
Autor:
Ghosh, Subhankar, An, Shuai, Sharma, Arun, Gupta, Jayant, Shekhar, Shashi, Subramanian, Aneesh
Given multi-model ensemble climate projections, the goal is to accurately and reliably predict future sea-level rise while lowering the uncertainty. This problem is important because sea-level rise affects millions of people in coastal communities an
Externí odkaz:
http://arxiv.org/abs/2310.15179
We consider the problem of reducing the time needed by healthcare professionals to understand patient medical history via the next generation of biomedical decision support. This problem is societally important because it has the potential to improve
Externí odkaz:
http://arxiv.org/abs/2305.09675
Autor:
Hyeonjung, Jung, Gupta, Jayant, Jayaprakash, Bharat, Eagon, Matthew, Selvam, Harish Panneer, Molnar, Carl, Northrop, William, Shekhar, Shashi
Ordinary and partial differential equations (DE) are used extensively in scientific and mathematical domains to model physical systems. Current literature has focused primarily on deep neural network (DNN) based methods for solving a specific DE or a
Externí odkaz:
http://arxiv.org/abs/2304.13807
Autor:
Li, Yan, Yang, Mingzhou, Eagon, Matthew, Farhadloo, Majid, Xie, Yiqun, Northrop, William F., Shekhar, Shashi
The eco-toll estimation problem quantifies the expected environmental cost (e.g., energy consumption, exhaust emissions) for a vehicle to travel along a path. This problem is important for societal applications such as eco-routing, which aims to find
Externí odkaz:
http://arxiv.org/abs/2301.05739
Spatiotemporal data mining aims to discover interesting, useful but non-trivial patterns in big spatial and spatiotemporal data. They are used in various application domains such as public safety, ecology, epidemiology, earth science, etc. This probl
Externí odkaz:
http://arxiv.org/abs/2206.12753