Výsledky vyhledávání - "Rahmad B. Y. Syah"

Akademický článek

A Novel Smart Optimized Capacitance-Based Sensor for Annular Two-Phase Flow Metering With High Sensitivity

Autor: Rahmad B. Y. Syah, Aryan Veisi, Zainal Arifin Hasibuan, Mustafa A. Al-Fayoumi, Mohammad Sh. Daoud, Ehsan Eftekhari-Zadeh

Publikováno v: IEEE Access, Vol 11, Pp 60709-60716 (2023)

Accurately determining phase fractions in two-phase flows is among the most significant issues in Industries related to the production and processing of petroleum and petrochemicals. There are numerous sensor types and configurations for measuring th

Externí odkaz: https://doaj.org/article/1c9942613d2a47ea8a6032edf0bcfdf9

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Akademický článek

An Effective Metaheuristic Approach for Building Energy Optimization Problems

Autor: Xinzhe Yuan, Mohammad Ali Karbasforoushha, Rahmad B. Y. Syah, Mohammad Khajehzadeh, Suraparb Keawsawasvong, Moncef L. Nehdi

Publikováno v: Buildings, Vol 13, Iss 1, p 80 (2022)

Mathematical optimization can be a useful strategy for minimizing energy usage while designing low-energy buildings. To handle building energy optimization challenges, this study provides an effective hybrid technique based on the pelican optimizatio

Externí odkaz: https://doaj.org/article/69a0f6e2d3954671a86529f1d7d6e5a9

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Performance of Statistical and Intelligent Methods in Estimating Rock Compressive Strength

Autor: Xuesong Zhang, Farag M. A. Altalbawy, Tahani A. S. Gasmalla, Ali Hussein Demin Al-Khafaji, Amin Iraji, Rahmad B. Y. Syah, Moncef L. Nehdi

Publikováno v: Sustainability; Volume 15; Issue 7; Pages: 5642

This research was conducted to forecast the uniaxial compressive strength (UCS) of rocks via the random forest, artificial neural network, Gaussian process regression, support vector machine, K-nearest neighbor, adaptive neuro-fuzzy inference system,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb37408fe15a1acf2762b383b570606f

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Parameters Identification of Solar PV Using Hybrid Chaotic Northern Goshawk and Pattern Search

Autor: Habib Satria, Rahmad B. Y. Syah, Moncef L. Nehdi, Monjee K. Almustafa, Abdelrahman Omer Idris Adam

Publikováno v: Sustainability; Volume 15; Issue 6; Pages: 5027

This article proposes an effective evolutionary hybrid optimization method for identifying unknown parameters in photovoltaic (PV) models based on the northern goshawk optimization algorithm (NGO) and pattern search (PS). The chaotic sequence is used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::334a34c650ca9882f5bd8a2747458d21

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Improved Artificial Neural Network with High Precision for Predicting Burnout among Managers and Employees of Start-Ups during COVID-19 Pandemic

Autor: Sutrisno Sutrisno, Nurul Khairina, Rahmad B. Y. Syah, Ehsan Eftekhari-Zadeh, Saba Amiri

Publikováno v: Electronics
Volume 12
Issue 5
Pages: 1109

Notwithstanding the impact that the Coronavirus pandemic has had on the physical and psychological wellness of people, it has also caused a change in the psychological conditions of many employees, particularly among organizations and privately owned

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ea2653b6410af64ec8837191d6a56ca

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