Search
Now showing items 1-10 of 31
Locating leaks in water mains using noise loggers
(
American Society of Civil Engineers (ASCE)
, 2016 , Article)
Because of their potential danger to public health, economic loss, environmental damage, and energy waste, underground water pipelines leaks have received more attention globally. Researchers have proposed active leakage ...
Constitutive models for the prediction of the hot deformation behavior of the 10%Cr steel alloy
(
MDPI AG
, 2019 , Article)
The aim of this paper is to establish a reliable model that provides the best fit to the specific behavior of the flow stresses of the 10%Cr steel alloy at the time of hot deformation. Modified Johnson-Cook and strain-compensated ...
Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar
(
MDPI AG
, 2019 , Article)
Photovoltaics (PV) output power is highly sensitive to many environmental parameters and the power produced by the PV systems is significantly affected by the harsh environments. The annual PV power density of around 2000 ...
Artificial neural networks for predicting hydrogen production in catalytic dry reforming: A systematic review
(
MDPI AG
, 2021 , Article Review)
Dry reforming of hydrocarbons, alcohols, and biological compounds is one of the most promising and effective avenues to increase hydrogen (H2 ) production. Catalytic dry reforming is used to facilitate the reforming process. ...
Valorization and optimization of agro-industrial orange waste for the production of enzyme by halophilic Streptomyces sp.
(
Academic Press Inc.
, 2021 , Article)
This study underlines the biotechnical valorization of the accumulated and unusable remains of agro-industrial orange fruit peel waste to produce α-amylase under submerged conditions by Streptomyces sp. KP314280 (20r). The ...
Developing ANN-Kriging hybrid model based on process parameters for prediction of mean residence time distribution in twin-screw wet granulation
(
Elsevier B.V.
, 2019 , Article)
Artificial neural network (ANN) modelling is applied to predict the mean residence time of pharmaceutical formulation in a twin-screw granulator. Process parameters including feed flow rate, screw speed, and liquid to solid ...
NeuroTrust - Artificial-Neural-Network-Based Intelligent Trust Management Mechanism for Large-Scale Internet of Medical Things
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Article)
Internet of Medical Things (IoMT) provides a diverse platform for healthcare to enhance the accuracy, reliability, and efficiency. In addition, it utilizes the productivity of available equipment to improve patients' health. ...
Direct Torque Control Based on Artificial Neural Network of a Five-Phase PMSM Drive
(
Springer
, 2018 , Book chapter)
Direct torque control (DTC) based on artificial neural network (ANN) of a five-phase permanent magnet synchronous motor drive (PMSM) is presented in this paper. Using the mathematical model of the five-phase motor, DTC ...
Air quality monitoring and prediction system using machine-to-machine platform
(2012 , Conference Paper)
This paper presents an ambient air quality monitoring and prediction system. The system consists of several distributed monitoring stations that communicate wirelessly to a backend server using machine-to-machine communication ...
Machine learning-based multi-target regression to effectively predict turning movements at signalized intersections
(
Elsevier
, 2022 , Article)
Effective prediction of turning movement counts at intersections through efficient and accurate methods is essential and needed for various applications. Commonly predictive methods require extensive data collection, ...