The increasing digitalization of banking services has led to a surge in financial fraud, necessitating advanced detection ...

The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

These models, they're stupid. But they have a lot of data, and they have a lot of processing. And therefore they look much ...

To address this problem, this paper proposes a novel community detection algorithm based on node propagation and attraction. The algorithm first introduces a node propagation strategy, which ...

Quantum computing is reshaping the foundations of database technology, introducing unprecedented capabilities for handling complex queries. In this transformative landscape, Sayantan Saha explores how ...

A high-performance library for graph algorithms written in Java. It contains a wide collection of optimized algorithms and data structures for a range of problems on graphs.

Analyzing Facebook ego networks to identify influential users and communities for optimizing political advertising. Leverages network science techniques (Louvain communities, centrality metrics, ...

A predictive risk algorithm to estimate 5-year dementia risk in the community setting was developed. Methods The Dementia Population Risk Tool (DemPoRT) was derived using Ontario respondents to the ...

After being diagnosed with stage 3A breast cancer, I was determined to help others — one topless DM at a time. "This is the goal of sending my videos – to remind us to talk to each other and take care ...

In this paper, we present a new approach to the detection of Sea Breeze Fronts (SBF ... Its average penetration along the coast is 103.17 km. The algorithm is highly robust and has a wide range of ...