To address this issue, a multiscale remote sensing change detection network (MSNet) and a multiscale RSCD dataset (MSRS-CD) are proposed. A multiscale convolution module (MSCM) is investigated, and ...

Neutron star merger simulations developed at Los Alamos National Laboratory play a key role in the Polymathic AI initiative, ...

Sixteen critical government datasets are delayed, and nine Union ministries have not released their annual reports--some of them for several years. The Census o ...

Phala Network (PHA) aims to position itself at the heart of AI and crypto. Will the Phala 2.0 upgrade find widespread ...

Transportation and road networks mark one of most widely used map datasets with strategic importance across many industries ...

Modeling network communication environments with Graph Neural Networks (GNNs) has gained notoriety in recent years due to the capability of GNNs to generalize well for data defined over graphs. Hence, ...

In a landmark move aimed at promoting transparency and research the Election Commission of India ECI has released the world largest electoral dataset unvei ...

Bronze Age combat, moral philosophy and Reddit’s AITA, Mondrian’s fractal tree, and seven other fascinating papers.

This poses a challenge when working with small datasets as these models need large datasets to perform well on unseen data. In this paper, we design a few-shot Siamese Neural Networks combined with ...

As AI revolutionizes journalism practices worldwide, newsrooms in Nigeria increasingly are integrating new such tools to ...

Notifications You must be signed in to change notification settings V3: In progress. Please wait. The next version of the larger dataset is expected to be released in ...

The recently developed Strategic Export Violation (SEV) dataset provides sufficient observations of illicit transfers of dual-use goods. Using the SEV data, a Count Exponential Random Graph Model ...