Abstract: This paper presents an innovative algorithm designed by AMBEATion consortium for optimizing the position of the critical structures in semiconductor integrated circuits (IC). The consortium, ...
Abstract: In this paper, Johnson's Algorithm is employed for Big Data shortest route analysis. Its efficiency and efficacy in managing massive datasets to improve data processing and decision-making ...
Implementation of Federated Learning Algorithms for Non Independent and Identically Distributed Data
Abstract: Federated Learning (FL) has emerged as a transformative approach for training machine learning models across decentralized data sources while preserving privacy. This study evaluates the ...
Abstract: The RLS and RLS-DCD algorithms are commonly used for adaptive filtering applications due to their fast convergence even under correlated inputs. RLS-DCD is a numerically robust and easy to ...
Abstract: Compact structural components are required in civil engineering, particularly for uses like building modules and the restoration of damaged flooring in current structures. Beamcolumn links ...
Abstract: This article concentrates on distributed optimization over networks with communication delays. Each subsystem in the network performs its local updates by using the information received from ...
Abstract: In recent years, with the rapid development of drone technology, fixed-wing unmanned aerial vehicles (UAVs) have shown extensive potential in various fields such as battlefield ...
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