Unlocking Insights in IoT-Based Patient Monitoring: Methods for Encompassing Large-Data Challenges.

Autor: Waleed M; Department of Electronic Systems, Aalborg University Copenhagen, 2450 København, Denmark., Kamal T; Electrical and Computer Engineering, Habib University, Karachi 75290, Pakistan., Um TW; Graduate School of Data Science, Chonnam National University, Gwangju 61186, Republic of Korea., Hafeez A; Computer Science and Applications, Virginia Tech, Blacksburg, VA 24061, USA., Habib B; Department of Computer Systems Engineering, University of Engineering and Technology (UET), Peshawar 25120, Pakistan., Skouby KE; Department of Electronic Systems, Aalborg University Copenhagen, 2450 København, Denmark.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jul 28; Vol. 23 (15). Date of Electronic Publication: 2023 Jul 28.

Complex IoT Systems as Enablers for Smart Homes in a Smart City Vision.

Autor: Lynggaard P; Center for Communication and Information Technologies Aalborg University Denmark; A. C. Meyers Vænge 15, 2450 Copenhagen SV, Denmark. perlyn@es.aau.dk., Skouby KE; Center for Communication and Information Technologies Aalborg University Denmark; A. C. Meyers Vænge 15, 2450 Copenhagen SV, Denmark. skouby@es.aau.dk.

Publikováno v: Sensors (Basel, Switzerland) [Sensors (Basel)] 2016 Nov 02; Vol. 16 (11). Date of Electronic Publication: 2016 Nov 02.

Multicriteria group decision making for prioritizing IoT risk factors with linear diophantine fuzzy sets and MARCOS method.

Autor: Jayakumar, Vimala, Kannan, Jeevitha, Kausar, Nasreen, Deveci, Muhammet, Wen, Xin

Publikováno v: Granular Computing; Sep2024, Vol. 9 Issue 3, p1-18, 18p

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.