Cell-Free UAV Networks: Asymptotic Analysis and Deployment Optimization

Autor: Carles Diaz-Vilor, Angel Lozano, Hamid Jafarkhani

Publikováno v: IEEE Transactions on Wireless Communications, vol 22, iss 5

Recently, cell-free (CF) architectures, in which every user can potentially communicate with every base station, have received a lot of attention. This paper considers the uplink of fully and partially centralized CF networks where unmanned aerial ve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::80e01adc57af9ab7f1a00bfec0b0318a
https://escholarship.org/uc/item/7wt6n689

Optimal 3D-UAV Trajectory and Resource Allocation of DL UAV-GE Links with Directional Antennas

Autor: Carles Diaz Vilor, Hamid Jafarkhani

Publikováno v: GLOBECOM

Unmanned Aerial Vehicle (UAV) is a promising technology to solve many new challenging problems. It provides high maneuverability and control, low manufacturing cost with respect to other flying technologies and many other features. In particular, the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::234b9a598d6605d34be00a78de915a9b
https://doi.org/10.1109/globecom42002.2020.9322550

Counting Malaria parasites with a two-stage EM based algorithm using crowdsourced data

Autor: Alba Pages-Zamora, Carles Diaz-Vilor, Miguel Luengo-Oroz, Daniel Cuadrado-Sanchez, Margarita Cabrera-Bean, Maria Postigo-Camps

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
EMBC
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017) | 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017) | 11/07/2017-15/07/2017 | Seogwipo, South Korea
Archivo Digital UPM
Universidad Politécnica de Madrid

Malaria eradication of the worldwide is currently one of the main WHO's global goals. In this work, we focus on the use of human-machine interaction strategies for low-cost fast reliable malaria diagnostic based on a crowdsourced approach. The addres

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d36acd762a8f167e43fd6d355569ab0f
https://hdl.handle.net/2117/108026

Unsupervised online clustering and detection algorithms using crowdsourced data for malaria diagnosis

Autor: Margarita Cabrera-Bean, Carles Diaz-Vilor, Alba Pages-Zamora

Publikováno v: Recercat. Dipósit de la Recerca de Catalunya
instname
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)

© . This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ Crowdsourced data in science might be severely error-prone due to the inexperience of annotators participating in the p

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2266f7b95b71b992afff875767db0711
http://hdl.handle.net/2117/124243

Table of contents.

Publikováno v: 2016 24th European Signal Processing Conference (EUSIPCO); 2016, p1-40, 40p