Abstract: An efficient error recovery algorithm is essential for a liable multicast in large groups. Tree-based protocols (RMTP, TMTP, LBRRM) group receivers into ...

Abstract: In undirected graphs with real non-negative weights, we give a new randomized algorithm for the single-source shortest path (SSSP) problem with running time ...

In statistics and machine learning, logistic regression is a widely-used supervised learning technique primarily employed for binary classification tasks. When the number of observations greatly ...

Since the very first days of computer science — a field known for its methodical approach to problem-solving — randomness has played an important role. The first program to run on the world’s first ...

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Since its initial release in 2016, TikTok has become the fastest-growing social media platform. If you’re looking to learn more about the popular short-form video app and how your brand can use it, ...

The number of normal samples of wind turbine generators is much larger than the number of fault samples. To solve the problem of imbalanced classification in wind turbine generator fault detection, a ...

ABSTRACT: Prime integers and their generalizations play important roles in protocols for secure transmission of information via open channels of telecommunication networks. Generation of multidigit ...