Analyzing meta-heuristic algorithms for task scheduling in a fog-based IoT applicationRahbari, DadmehrAlgorithms2022 / art. 397 https://doi.org/10.3390/a15110397 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Applying RIS-based communication for collaborative computing in a swarm of dronesRahbari, Dadmehr; Alam, Muhammad Mahtab; Le Moullec, Yannick; Jenihhin, MaksimIEEE Access2023 / p. 70093−70109 https://doi.org/10.1109/ACCESS.2023.3293737

Edge-to-Fog collaborative computing in a swarm of dronesRahbari, Dadmehr; Alam, Muhammad Mahtab; Le Moullec, Yannick; Jenihhin, MaksimAdvances in Model and Data Engineering in the Digitalization Era : MEDI 2021 International Workshops: DETECT, SIAS, CSMML, BIOC, HEDA, Tallinn, Estonia, June 21–23, 2021 : proceedings2021 / p. 78–87 https://doi.org/10.1007/978-3-030-87657-9_6 Conference Proceedings at Scopus Article at Scopus

Fast and fair computation offloading management in a swarm of drones using a rating-based federated learning approachRahbari, Dadmehr; Alam, Muhammad Mahtab; Le Moullec, Yannick; Jenihhin, MaksimIEEE Access2021 / p. 113832-113849 https://doi.org/10.1109/ACCESS.2021.3104117 Journal metrics at Scopus Article at Scopus Journal metrics at WOS Article at WOS

Improving response time of task and Adaboost classifiers in mobile fog computingDarbanian, Elham; Rahbari, Dadmehr; Ghanizadeh, Roghayeh; Nickray, MohsenJordanian journal of computers and information technology2020 / p. 345−360 https://www.ejmanager.com/mnstemps/71/71-1590557276.pdf?t=1608030630

Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approachGazori, Pegah; Rahbari, Dadmehr; Nickray, MohsenFuture generation computer systems2020 / p. 1098-1115 https://doi.org/10.1016/j.future.2019.09.060

Task offloading in mobile fog computing by classification and regression treeRahbari, Dadmehr; Nickray, MohsenPeer-to-Peer networking and applications2020 / p. 104−122 https://doi.org/10.1007/s12083-019-00721-7