Zobrazeno 1 - 10 of 45 pro vyhledávání: '"Saeed Alwadie"'
1
Akademický článek
Energy efficient watchman based flooding algorithm for IoT‐enabled underwater wireless sensor and actor networks
Autor: Umar Draz, Tariq Ali, Nazir Ahmad Zafar, Abdullah Saeed Alwadie, Muhammad Irfan, Sana Yasin, Amjad Ali, Muazzam A. Khan Khattak
Publikováno v: ETRI Journal, Vol 43, Iss 3, Pp 414-426 (2021)
In the task of data routing in Internet of Things enabled volatile underwater environments, providing better transmission and maximizing network communication performance are always challenging. Many network issues such as void holes and network isol
Externí odkaz: https://doaj.org/article/474986500c1e4a309d97eb2058fe3db5
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2
Akademický článek
Condition monitoring of water pump bearings using ensemble classifier
Autor: Muhammad Irfan, Faisal Althobiani, Abdullah Saeed Alwadie, Maryam Zaffar, Ali Abbass, Adam Glowacz, Saleh Mohammed Ghonaim, Hesham Abdushkour, Saifur Rahman, Omar Alshorman, Mohammad Kamal Asif Khan, Samar Alqhtani, Fahad Salem Alkahtani
Publikováno v: Advances in Mechanical Engineering, Vol 14 (2022)
The bearings faults are reported to be the major reason for centrifugal pump (CPs) failures. Limited literature is available to diagnose the minor scratches in the bearing surface through non-intrusive condition monitoring techniques. Recent research
Externí odkaz: https://doaj.org/article/3a65fd40a285408ea2914de003f2908a
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3
Akademický článek
A Novel Feature Extraction and Fault Detection Technique for the Intelligent Fault Identification of Water Pump Bearings
Autor: Muhammad Irfan, Abdullah Saeed Alwadie, Adam Glowacz, Muhammad Awais, Saifur Rahman, Mohammad Kamal Asif Khan, Mohammad Jalalah, Omar Alshorman, Wahyu Caesarendra
Publikováno v: Sensors, Vol 21, Iss 12, p 4225 (2021)
The reliable and cost-effective condition monitoring of the bearings installed in water pumps is a real challenge in the industry. This paper presents a novel strong feature selection and extraction algorithm (SFSEA) to extract fault-related features
Externí odkaz: https://doaj.org/article/63db71f78e4f4f00bdab252f23bef9a7
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6
Akademický článek
A Secure Communication in IoT Enabled Underwater and Wireless Sensor Network for Smart Cities
Autor: Tariq Ali, Muhammad Irfan, Ahmad Shaf, Abdullah Saeed Alwadie, Ahthasham Sajid, Muhammad Awais, Muhammad Aamir
Publikováno v: Sensors, Vol 20, Iss 15, p 4309 (2020)
Nowadays, there is a growing trend in smart cities. Therefore, the Internet of Things (IoT) enabled Underwater and Wireless Sensor Networks (I-UWSN) are mostly used for monitoring and exploring the environment with the help of smart technology, such
Externí odkaz: https://doaj.org/article/45fd7aff7ce8409aba09dd1d6042689f
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7
Investigating the Impact of Cu2+ Doping on the Morphological, Structural, Optical, and Electrical Properties of CoFe2O4 Nanoparticles for Use in Electrical Devices
Autor: Shahroz Saleem, Muhammad Irfan, Muhammad Yasin Naz, Shazia Shukrullah, Muhammad Adnan Munir, Muhammad Ayyaz, Abdullah Saeed Alwadie, Stanislaw Legutko, Jana Petrů, Saifur Rahman
Publikováno v: Materials; Volume 15; Issue 10; Pages: 3502
This study investigated the production of Cu2+-doped CoFe2O4 nanoparticles (CFO NPs) using a facile sol−gel technique. The impact of Cu2+ doping on the lattice parameters, morphology, optical properties, and electrical properties of CFO NPs was inv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70c19aa69b299ce9239cfefccdf80e70
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10
Akademický článek
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