Material properties and design aspects of folding bicycle frame by Maleque, Md. Abdul, Hossain, M. Sayeed, Dyuti, S.

“…The relationship between materials properties and design is not straight forward because the behavior of the material in the finished product could be different from that of the raw material. The swing hinge technique could be a better technique in the design for the folding bicycle frame.…”
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Non-probabilistic method to consider uncertainties in frequency response function for vibration-based damage detection using artificial neural network by Padil, Khairul Hazman

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Computational intelligence: It’s application in digital watermarking by Olanrewaju, Rashidah Funke, Khalifa, Othman Omran, Abdul Latif, Khairun Nisaa’

“…Results of image watermarking using both ANN and no ANN were compared. It was found that ANN based watermarking outperformed the No ANN algorithm in terms of imperceptibility. …”
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Metaheuristic approach on feature extraction and classification algorithm for handwrittten character recognition by Mohamad, Muhammad ‘Arif

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Artificial neural network application in sediment prediction: a review by Nda, Muhammad, Adnan, Mohd Shalahuddin, Mohd Yussof, Mohd Azlan, Abdullahi Ahmad, Kabiru, Isah, Nuhu, Nda, Ramatu Muhammad

“…This chapter reviews several relevant works of literature on sediment transport prediction while focusing on a wide range of ANN applications. ANN sediment transport models have increasingly attracted several researchers over the past years. …”
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Multiple inputs artificial neural network model for the prediction of wastewater treatment plant performance by Jami, Mohammed Saedi, Husain, Iman A. F., Kabbashi, Nassereldeen Ahmed, Abdullah, Norhafiza

“…Extensive influent and effluent parameters database containing measured data spanning over two years of period was used to develop and train ANN using ANN toolbox in commercially available software, MATLAB. …”
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Development of artificial neural network model for the analysis of wastewater treatment by Jami, Mohammed Saedi

“…A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). …”
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Oil palm empty fruit bunches as recyclable waste for production of citric acid: optimization using artificial neural network by Jami, Mohammed Saedi, Alam, Md. Zahangir, Nasaruddin, Ricca Rahman

“…In this study, the same optimization was done by using ANN. The predictive and generalization ability of both ANN and RSM were compared using similar dataset of 20 experiments. …”
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An intelligent modeling of coagulant dosing system for water treatment plants based on artificial neural network by Olanweraju, Rashidah Funke, Muyibi, Suleyman Aremu, Salawudeen, T. Olalekan, Aibinu, Abiodun Musa

“…This high Correlation of coefficient indicates that the ANN model is a perfect match.…”
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Improvement of artificial neural network model for the prediction of wastewater treatment plant performance by Jami, Mohammed Saedi, Ahmed Kabashi, Nassereldeen, Husain, Iman A.F., Abdullah, Norhafiza

“…A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Analysis of municipal wastewater treatment plant performance using artificial neural network approach by Husain, Iman, Jami, Mohammed Saedi, Kabashi, Nassereldin, Abdullah, Nurhafizah

“…Artificial neural network (ANN) was used in this research as a statistical modeling tool for predicting the performance of wastewater treatment plant. …”
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Multistage artificial neural network in structural damage detection by Goh, Lyn Dee

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A Particle Swarm Optimization Trained Feedforward Neural Network for Under-Voltage Load Shedding by Sharman Sundarajoo, Sharman Sundarajoo, Dur Muhammad Soomro, Dur Muhammad Soomro, Non-members, Non-members

“…PSO is used to obtain the best topology and optimum initial weights of the ANN model to enhance the precision of the ANN model. …”
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Artificial neural network and its Islamic relevance by Ahmad Kamaruddin, Saadi, Ahmed Shogar, Ibrahim Adam

“…The method used was analytical outlook to comprehend ANN in an Islamic approach.…”
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Development of artificial nueral network model for the analysis of wastewater treatment by Jami, Mohammed Saedi, Kabbashi, Nassereldeen Ahmed

“…A statistical modeling tool called artificial neural network (ANN) is used in this work to predict the performance of wastewater treatment plant (WWTP). …”
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Modelling and optimization of process parameters for silver nanoparticles synthesis: A comparison between response surface methodology and artificial neural network by Chowdhury, Silvia, Yusof, Faridah, Sulaiman, Nadzril, Faruck, Mohammad Omer, Sidek , Shahrul Naim

“…In recent decades, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) have become the most used method for empirical modelling and optimization of process parameters in Chemical Engineering. …”
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