Dataset for anomaly detection in a production wireless mesh community network

Autor: Llorenç Cerdà-Alabern, Gabriel Iuhasz

Publikováno v: Data in Brief, Vol 49, Iss , Pp 109342- (2023)

Wireless community networks, WCN, have proliferated around the world. Cheap off-the-shelf WiFi devices have enabled this new network paradigm where users build their own network infrastructure in a do-it-yourself alternative to traditional network op

Externí odkaz: https://doaj.org/article/682c26a1636a4ce6ab536d6a83993303

Anomaly detection for fault detection in wireless community networks using machine learning

Autor: Llorenç Cerdà-Alabern, Gabriele GEMMI, Gabriel Iuhasz

Machine learning has received increasing attention in computer science in recent years and many types of methods have been proposed. In computer networks, little attention has been paid to the use of ML for fault detection, the main reason being the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a5650a8a22f32b8606e5904fc0bf15a
https://hdl.handle.net/2117/386764

A Study of Deep Learning Model Performance for Remote Sensing Image Segmentation

Autor: Teodora Selea, Gabriel Iuhasz, Marian Neagul

Deep Learning is an extremely important research topic in Earth Observation. Current use-cases range from semantic image segmentation, object detection to more common problems found in computer vision such as object identification. Earth Observation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91447bda7a5a6cdbc0fed4df342dba9a
https://doi.org/10.20944/preprints202211.0226.v1

SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum

Autor: Aristotelis Kretsis, Panagiotis Kokkinos, Polyzois Soumplis, Juan Jose Vegas Olmos, Marcell Feher, Marton Sipos, Daniel E. Lucani, Dmitry Khabi, Dimosthenis Masouros, Kostas Siozios, Paraskevas Bourgos, Sofia Tsekeridou, Ferad Zyulkyarov, Efstathios Karanastasis, Efthymios Chondrogiannis, Vassiliki Andronikou, Aitor Fernandez Gomez, Silviu Panica, Gabriel Iuhasz, Anastassios Nanos, Charalampos Chalios, Manos Varvarigos

Publikováno v: Kretsis, A, Kokkinos, P, Soumplis, P, Vegas Olmos, J J, Fehér, M, Sipos, M A, Lucani Rötter, D E, Khabi, D, Masouros, D, Siozios, K, Bourgos, P, Tsekeridou, S, Zyulkyarov, F, Karanastasis, E, Chondrogiannis, E, Andronikou, V, Fernandez Gomez, A, Panica, S, Iuhasz, G, Nanos, A, Chalios, C & Varvarigos, M 2021, SERRANO: Transparent Application Deployment in a Secure, Accelerated and Cognitive Cloud Continuum . in IEEE International Mediterranean Conference on Communications and Networking (MeditCom) . IEEE, 2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom), Athens, Greece, 07/09/2021 . https://doi.org/10.1109/MeditCom49071.2021.9647689
Workshop on Intelligent operations, security, and acceleration for edge computing (MeditCom)
2021 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)

We are witnessing a wave of emerging cloud computing technologies and services that empower advanced applications from different vertical sectors, with diverse requirements. These trends give rise to a number of fundamental challenges that relate to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d6da59034504d1b9ff8db2df9f024c9
https://doi.org/10.1109/meditcom49071.2021.9647689

M3AT: Monitoring Agents Assignment Model for Data-Intensive Applications

Autor: Vladislav Kashansky, Dragi Kimovski, Radu Prodan, Prateek Agrawal, Fabrizio Marozzo, Gabriel Iuhasz, Marek Marozzo, Javier Garcia-Blas

Publikováno v: PDP
2020 28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP)

Nowadays, massive amounts of data are acquired, transferred, and analyzed nearly in real-time by utilizing a large number of computing and storage elements interconnected through high-speed communication networks. However, one issue that still requir

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fbfeadbef1c7d1eac2892fea6585086
https://doi.org/10.1109/pdp50117.2020.00018