Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems

Autor: Motevallian, Mahsa, Esfar E Alam, A M, Taherkordi, Amirhosein, Abbasi, Golnoush

Publikováno v: Motevallian, Mahsa Esfar E Alam, A M Taherkordi, Amirhosein Abbasi, Golnoush . Semantic Modeling of Waste Dataflow for Automating Circular Economy Systems. 2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024). 2024, 677-684 IEEE Computer Society Digital Library

Externí odkaz: http://hdl.handle.net/10852/113949

Ataraxis: A Deep Learning Approach for Hardwareless In-Vehicle Presence Detection

Autor: Oplenskedal, Magnus Karsten, Taherkordi, Amirhosein, Herrmann, Peter

Externí odkaz: https://hdl.handle.net/11250/3052609

TELEGAIT: Transfer Learning on Fog for Generalizable and Real-Time Transport Mode Detection

Autor: Kamalian, Mahdieh, Taherkordi, Amirhosein, Ferreira, Paulo

Publikováno v: Kamalian, Mahdieh Taherkordi, Amirhosein Ferreira, Paulo . TELEGAIT: Transfer Learning on Fog for Generalizable and Real-Time Transport Mode Detection. Proceedings of the IEEE. 2024
Proceedings of the IEEE

Externí odkaz: http://hdl.handle.net/10852/114455

Mobile Edge as Part of the Multi-Cloud Ecosystem: A Performance Study

Autor: Dreibholz, Thomas, Mazumdar, Somnath, Zahid, Feroz, Taherkordi, Amirhosein, Gran, Ernst Gunnar

Externí odkaz: http://hdl.handle.net/11250/2607577

The ICO Tool Suite: Optimizing Highly Configurable Systems

Autor: Guégain, Edouard, Taherkordi, Amirhosein, Quinton, Clément

Dealing with large configuration spaces is a complex task for developers, especially when manually searching for the configuration that best suits some given requirements. In this paper, we present the ICO tool suite, a set of software components des

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0c9707b862179f4e4a3670830a79b4f7
https://hal.science/hal-03874051