Resources (1-2 of 2)

1. MT-IceNet - A Spatial and Multi-Temporal Deep Learning Model for Arctic Sea Ice Forecasting

   23 Jul 2024 | Contributor(s):: Sahara Ali, Jianwu Wang, Josephine Namayanja (contributor)

   Arctic amplification has altered the climate patterns both regionally and globally, resulting in more frequent and more intense extreme weather events in the past few decades. The essential part of Arctic amplification is the unprecedented sea ice loss as demonstrated by satellite observations....

2. Discovery of multi-domain spatiotemporal associations

   26 Apr 2024 | Contributor(s):: Prathamesh Walkikar, Lei Shi, Bayu Adhi Tama, Vandana Janeja

   This paper focuses on the discovery of unusual spatiotemporal associations across multiple phenomena from distinct application domains in a spatial neighborhood where each phenomenon is represented by anomalies from the domain. Such an approach can facilitate the discovery of interesting links...