Výsledky vyhledávání - "Eiman Alnuaimi"

Blockchain-based system for tracking and rewarding recyclable plastic waste

Autor: Eiman Alnuaimi, Mariam Alsafi, Maitha Alshehhi, Mazin Debe, Khaled Salah, Ibrar Yaqoob, M. Jamal Zemerly, Raja Jayaraman

Publikováno v: Peer-to-Peer Networking and Applications. 16:328-346

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c0fdde3cb14ecb39b5a7f04763c581c5
https://doi.org/10.1007/s12083-022-01413-5

Zobrazit plný text záznamu

Assessment of the Influence of Fault-Associated Fracture Corridors Through Integrated Geological-Engineering Sector Screening: A Game Changer for Optimizing Reservoir Management Practices in a Giant Carbonate Onshore, Abu Dhabi U.A.E

Autor: Ruben Pinto Farnetano, Rodrigo Gutierrez, Alfredo Freites, Kevin Torres, Eiman Alnuaimi

Publikováno v: Day 2 Wed, January 25, 2023.

The sector screening review is a surveillance tool used to assess and find opportunities to increase the oil production and improve the performance of the reservoir. We developed a novel interdisciplinary workflow (geology-engineering) integrating dy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2c6808ab732b43561bf17dfbc354529d
https://doi.org/10.2118/212675-ms

Zobrazit plný text záznamu

Novel Completion and Stimulation Technologies from Planning to Execution Tripled the Injectivity Index for the First Water Injectors in a Giant Tight Carbonate Reservoir, Onshore Abu Dhabi

Autor: Ruben P. Farnetano, Ahmed M. Daoud, Kristian Mogensen, Ahmed Fawzy, Eiman Alnuaimi, Bothainah Al Sereidi

Publikováno v: Day 1 Tue, January 24, 2023.

Unit R is a tight carbonate reservoir onshore Abu Dhabi currently undergoing redevelopment with the aim to substantially improve the ultimate recovery factor. Better pressure support is required to increase the production. To this end, two water inje

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6578ec50e6229174fd9d6ffeb0273bdf
https://doi.org/10.2118/212637-ms

Zobrazit plný text záznamu

A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)

Autor: Eiman AlNuaimi, Elia Cereda, Rafail Psiakis, Suresh Sugumar, Alessandro Giusti, Daniele Palossi

Publikováno v: Proceedings of the AAAI Conference on Artificial Intelligence. 36:12903-12904

We present a deep neural network (DNN) for visually classifying whether a person is wearing a protective face mask. Our DNN can be deployed on a resource-limited, sub-10-cm nano-drone: this robotic platform is an ideal candidate to fly in human proxi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::da1f8c3d634a4d5723c1a988fad624ce
https://doi.org/10.1609/aaai.v36i11.21588

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání