Abstract: As intelligent network services continue to diversify, ensuring efficient and adaptive resource allocation in edge networks has become increasingly critical. Yet the wide functional ...

Network planning has always been a bit reactive. Engineers analyze historical traffic data, build capacity models, and make infrastructure decisions based on what’s happened before. When congestion ...

A tunnel on the Cumbrian Coast Line that is closed until spring 2026 has been flooding for five years. The closure of Bransty Tunnel near Whitehaven has severed the line in two since late July. A ...

Abstract: The Nearest-Better Network (NBN) is a powerful method to visualize sampled data for continuous optimization problems while preserving multiple landscape features. However, the calculation of ...

where the output is not from a fixed vocabulary, but a sequence of pointers to elements from the input. Main idea: Instead of producing an output token from a fixed-size vocabulary, the model points ...

This repository provides implementation for SNBO (Scalable Neural Network-based Blackbox Optimization) — a novel method for efficient blackbox optimization using neural networks. It also includes code ...

Resonance is a well-known phenomenon that happens in systems with second order dynamics. In this paper, we address the fundamental question of making a network robust to signal being periodically ...