Monitoring and assessment of weld penetration condition during pulse mode laser welding using air-borne acoustic signal by Mohd Fadhlan, Mohd Yusof

“…Two empirical models for weld depth estimation were developed from the combination of these sound features and weld parameters using the multiple linear regression (MLR) and artificial neural network (ANN) methods. Through MLR method, the obtained model was DOP = 0.634SD - 0.814LK + 0.0014MLPS + 116.44PD + 0.0014PP - 0.7781. …”
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Enhancement of performance and response time of cascaded vsc statcom in the presence of voltage variation and low power factor by Mohamad Milood, Mohamad Almelian

“…Various controllers for STATCOM control circuit have been proposed to regulate its performance, artificial neural network (ANN)- based STATCOM control circuit is the dominant and liberal solution for enhancing STATCOM performance during the period of different disturbances. …”
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Nano enhanced phase change material properties driven by artificial intelligence method by Elnaz, Yousefi

“…The optimum number in the hidden layer for the developed Artificial Neural Network (ANN) model is to predict thermal conductivity and latent heat, drawing from experimental data. …”
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Microbial community profiling of arsenic-rich mine tailing and arsenic bioadsorption by indigenous bacteria. by Al-Towayti, Wahid Ali Hamood

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Extraction and microencapsulation of polyphenol-rich antioxidant from Clinacanthus nutans for controlled release formulation by Abdul Karim, Norsuhada

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Optimisation of co-culture fermentation of lactobacillus casei and propionibacterium jensenii in rice bran extract by Mohamed Esivan, Siti Marsilawati

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Development of High Strength Cement-Based Concrete Utilizing Silicon Dioxide Nanoparticles and Rice Husk Ash by Najigivi, Alireza

“…Finally, using Artificial Neural Network (ANN) a model was proposed for the design procedure of concrete mixture proportioning with different sizes and contents of the utilized materials. …”
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Biomanufacturing of an organic solvent tolerant and thermostable lipase by recombinant E. coli by Nelofer, Rubina

“…Response surface methodology (RSM) and artificial neural network (ANN) were used to optimize the medium composition and culture conditions. …”
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Stastical approaches to optimize tissue culture conditions for secondry metabolite production of Phyllanthus pulcher wall. ex mull. arg. by Danaee, Mahmoud

“…The data of this experiment were analyzed using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) the result showed that ANN models are more flexible and adaptable for prediction of secondary metabolite production in plant cell culture. …”
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Pattern recognition approach for spatial and temporal variation analysis of surface water quality of Klang River Basin, Malaysia by Mohd Nasir, Mohd Fahmi

“…This study was conducted in Klang River in attempt to interpret the relationship between hydrological and surface water quality parameters, to estimate the pollution loading in the river with and without the utilization of the hydrological data and to ascertain the input and output parameters of the water quality data using the artificial neural network (ANN). The data was collected from the Department of Environment (DOE) and Department of Irrigation and Drainage (DID), Malaysia. …”
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Bioluminescent method using Photobacterium leiognathi strain AK-MIE for rapid screening of heavy metals by Kassim, Adibah

“…The optimisation of medium composition was carried out using Response Surface Methodology (RSM) and Artificial Neural Network (ANN) with four parameters employed (NaCl, peptone, yeast extract, and pH). …”
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Predictive modelling of nanofluids thermophysical properties using machine learning by Olanrewaju, Alade Ibrahim

“…The machine learning algorithms used in this thesis comprise support vector regression (SVR) and artificial neural network (ANN) developed in a MATLAB computing environment. …”
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Enhanced biogas production from anaerobic co-digestion of palm oil mill effluent using solar-assisted bioreactor by Zaied, Khalid

“…Finally, this study developed the artificial neural network (ANN) model which is an appropriate and uncomplicated modeling approach for ACoD applications to predict the outcomes of biogas production using experimental data. …”
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Developing the innovative and transformative ecosystem for environmental sustainability in Phnom Penh as a model smart and sustainable capital city by Hoy, Jeremy Zhi Hao

“…First, a time series forecasting using the Box-Jenkins estimation method was used to select the most suitable model parameters of the Seasonal Autoregressive Integrated Moving Average (SARIMA) model using the MATLAB Econometric Toolbox to forecast future temperature values. Next, an artificial neural network, long short-term memory (LSTM), was trained to perform open and closed loop temperature forecasting. …”
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Comprehensive site investigation of an offshore landfill using multi-geophysical methods by Zhang, Zhibo

“…Using SPT and Igeo (Geochemical index) as labels, training geophysical results with the Artificial neural network (ANN) method provides reliable predictions of SPT and Igeo for areas without drilling and sampling. …”
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Statistical and data mining approach for the prediction of solar radiation by Wu, Ji

“…Time delay neural network (TDNN) which is developed based on artificial neural network (ANN), is also studied in this thesis. …”
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Reinforcement mechanism of rockbolt system for underground excavation by Nie, Wen

“…A support design method for horseshoe-shaped rock caverns is proposed with considerations of the progressive damage of the rock mass using the 2D finite element method (FEM) and the artificial neural network (ANN). The performances of the rock cavern during excavation are investigated based on the convergence-confinement method (CCM). …”
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Photodegradation of micropollutants in water by UV/H2O2 and UV/persulfate by Zhang, Yiqing

“…In comparison, artificial neural network (ANN) and deep neural network (DNN) models can predict the dataset accurately. …”
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Development of geospatial model for tuberculosis prediction in Gombak, Selangor, Malaysia by Mohidem, Nur Adibah

“…Multiple linear regression (MLR) and artificial neural network (ANN) were applied to develop the prediction model of TB cases. …”
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Design of intelligent control system and its application on fabricated conveyor belt grain dryer by Lutfy, Omar F.

“…The modeling performance achieved by this ANFIS model was then compared with those of an autoregressive with exogenous input (ARX) model and an artificial neural network (ANN) model, and the results clearly showed the superiority of the developed ANFIS model. …”
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