A hybrid CEEMD-GMM scheme for enhancing the detection of traffic flow on highways

H Dou, Y Liu, S Chen, H Zhao, H Bilal - Soft Computing, 2023 - Springer
Many highways are acquiring smart transportation systems to improve traffic efficiency,
safety and management. Intelligent transportation systems can monitor traffic congestion by …

A robust supervised machine learning based approach for offline-online traffic classification of software-defined networking

ME Eissa, MA Mohamed, MM Ata - Peer-to-Peer Networking and …, 2024 - Springer
Due to the exponential increase of internet applications and network users, network traffic
classification (NTC) is a crucial study subject. It successfully improves network service …

Elephant Flow Classification on the First Packet with Neural Networks

B Kądziołka, P Jurkiewicz, R Wójcik, J Domżał - IEEE Access, 2024 - ieeexplore.ieee.org
Quick and accurate identification of the largest flows in the network would allow for the
management of most traffic using dedicated, flow-specific routes and policies, thereby …

[HTML][HTML] Flow-models 2.0: Elephant flows modeling and detection with machine learning

P Jurkiewicz - SoftwareX, 2023 - Elsevier
This article presents the new version of the flow-models IP network flow modeling
framework. The improved features include flow skipping and counting, flow filtering, IP …

Sistema de identificación de enfermedades y plagas en el cultivo de sandía

RC Morelo, JA Flórez… - … DE TECNOLOGIAS DE …, 2023 - ojs.unipamplona.edu.co
En este estudio se desarrolló una aplicación móvil bajo el nombre “Sandiapp”, con el
objetivo de identificar las diferentes plagas y enfermedades que afectan el cultivo de sandía …

Integrating Artificial Intelligence in Higher Education: A Systematic Review and Perspectives in Latin America

LM de la Ossa, JH Rentería, FF Gómez… - Migration …, 2024 - migrationletters.com
This review systematically analyzed the literature published between 2018 and 2023 in
Latin America on the inclusion of artificial intelligence in higher education. The aim was to …

Redukcja wielkości tablicy przepływów dzięki detekcji dużych przepływów za pomocą uczenia maszynowego

B Kądziołka, P Jurkiewicz - Przegląd Telekomunikacyjny+ …, 2023 - yadda.icm.edu.pl
Liczba jednoczesnych przepływów w sieciach nadal przekracza pojemność tablic
przepływów. W celu zmniejszenia zajętości tablic przeanalizowano wybrane modele …