Browsing by Author "Gowid, Samer"
Now showing items 1-7 of 7
-
Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
AbuShanab, Yazeed; Al-Ammari, Wahib A.; Gowid, Samer; Sleiti, Ahmad K. ( Elsevier , 2023 , Article)This study focuses on predicting the dynamic viscosity of nanofluids, specifically Polyalpha-Olefin-hexagonal boron nitride (PAO-hBN) using machine learning models. The primary goal of this research is to assess and contrast ... -
AI and IoT-based concrete column base cover localization and degradation detection algorithm using deep learning techniques
Khalid, Naji; Gowid, Samer; Ghani, Saud ( Ain Shams University , 2023 , Article)Internet of Things (IoT) and Artificial Intelligence (AI) technologies are currently replacing the traditional methods of handling buildings, infrastructure, and facilities design, control, and maintenance due to their ... -
An Intelligent Hybrid Experimental-Based Deep Learning Algorithm for Tomato-Sorting Controllers
Haggag, Mayar; Abdelhay, Samaa; Mecheter, Asma; Gowid, Samer; Musharavati, Farayi; Ghani, Saud... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Conventionally, the methods used for the sorting of tomatoes are manual. These methods are costly, non-productive, and their reliability is uncertain. With advancing technology, deep-learning, and artificial intelligence ... -
Characterisation of major fault detection features and techniques for the condition-based monitoring of high-speed centrifugal blowers
Gowid, Samer; Dixon, Roger; Ghani, Saud ( International Institute of Acoustics and Vibrations , 2016 , Conference Paper)This paper investigates and characterises the major fault detection signal features and techniques for the diagnostics of rotating element bearings and air leakage faults in high-speed centrifugal blowers. The investigation ... -
Performance Comparison Between Fast Fourier Transform-Based Segmentation, Feature Selection, and Fault Identification Algorithm and Neural Network for the Condition Monitoring of Centrifugal Equipment
Gowid, Samer; Dixon, Roger; Ghani , Saud ( American Society of Mechanical Engineers (ASME) , 2017 , Article)This paper compares and evaluates the performance of two major feature selection and fault identification methods utilized for the condition monitoring (CM) of centrifugal equipment, namely fast Fourier transform (FFT)-based ... -
A robust experimental-based artificial neural network approach for photovoltaic maximum power point identification considering electrical, thermal and meteorological impact
Gowid, Samer; Massoud, Ahmed ( Elsevier , 2020 , Article)This paper aims to develop a robust and practical photovoltaic (PV) Maximum Power Point (MPP) identification tool developed using reliable experimental data sets. The correlations between the voltage and the current (Vmp ... -
Wave propagation in double helical rods
Jamil, Renno; Sassi, Sadok; Gowid, Samer ( Elsevier , 2020 , Article)The propagation of waves in helical rods has been studied extensively. However, studying the wave propagation in double helical rods have received less attention although this can be useful in multiple fields of science ...