BUILDING A CADASTRAL MAP OF EUROPE THROUGH THE INSPIRE AND OTHER RELATED INITIATIVES


Machine Learning and Deep Learning Techniques for Distributed Denial of Service Anomaly Detection in Software Defined Networks—Current Research Solutions

This state-of-the-art review comprehensively examines the landscape of Distributed Denial of Service (DDoS) anomaly detection in Software Defined Networks (SDNs) through the lens of advanced Machine Learning (ML) and Deep Learning (DL) techniques.The application domain of this work is focused on addressing the inherent security vulnerabilities of O

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Clinical Sports Medicine & Orthopedics

Purpose: The current criterion to evaluate 30-second side hop (SH) test performance following anterior cruciate ligament reconstruction (ACLR) is limited to the absolute number of jumps, neglecting the quality of execution.This study aims to assess the relevance of spatiotemporal and force plate derived parameters during the SH test.Methods: Sevent

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