Selection of the most significant variables of air pollutants using sensitivity analysis by Azid, Azman, Juahir, Hafizan, Toriman, Mohd Ekhwan, Endut, Azizah, Abdul Rahman, Mohd Nordin, Kamarudin, Mohd Khairul Amri, Latif, Mohd Talib, Mohd Saudi, Ahmad Shakir, Che Hasnam, Che Noraini, Yunus, Kamaruzzaman

“…The sensitivity analysis method coupled with the artificial neural network (ANN) was applied. Nine models (ANN-API-AP, ANN-API-LCO, ANN-API-LO3, ANN-API-LPM10, ANN-API-LSO2, ANN-API-LNO2, ANN-API-LCH4, ANN-APILNmHC and ANN-API-LTHC) were carried out in the sensitivity analysis test. …”
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Novel mems biosensor with integmted impedance and mass-sensing capabilities by Nordin, Anis Nurashikin, Ibrahimy, Muhammad Ibn, Mel, Maizirwan, Voiculescu, Ioana

“…A BIOSENSOR DEVICE (1) PROVIDING AN ANALYSE PLATFORM FOR DETECNNG CELL GROWTH, COMPRISING OFAN ALUMINIUM NITRIDE (AIN) BASE (2), A SHEAR HORIZONTAL-SURFACE ACOUSTIC WAVE (SH-SAW) RESONATOR INCLUDING AN INPUT TMNSDUCER (4) AND AN OUTPUT TRA.NSDUCER (5) SYMMETRICALLY POSmONED ON THE ALUMTNUM NTTRIOE (ArN)BASE (2), A COUNTER ELECTRODE (6) POSMONED PAMLLEL TO WORKING ELECTRODES (7) ON THE ALUMINUM NITRIDE (ArN) BASE (2), FOR TMNSMTTTTNG FREQUENCY VOLTAGE TOWARDS THE WrNG CELL (3), A PLURAUTY OF WORKTNG ELECTRODES (7) POSMONED BENEATH THE LMNG CELL (3) ON THE ALUMINIUM NITRIDE (AIN) BASE (2) FOR RECEIVING FREQUENCY VOLTAGE FROM THE LMNG CELL (3), AN IMPEDANCE ANALYZER (8) FOR RECEMNG IMPEDANCE READINGS FROM THE COUNTER ELECTRODE (6) AND WORKING ELECTRODES (7), AND A BACK-ETCHED SIUCON SUBSTMTE (9) COUPLED TO THE ALUMINIUM NTTRIDE (AIN) BASE (2), FOR REDUCTNG C1JRRENT LOS' WHEREIN THE LMNG CErL (3) IS POSmONED rN BETWEEN OF THE INPUT TRANSDUCER AND OUTPUT TRANSDIrcER ON THE ALUMINIUM NITRIDE (AIN) BASE (4).…”
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The investigation of soil dielectric influence towards terrestrial background radiation by Mohd Jafery, Khawarizmi

“…The soil species identified were Kranji, Linau-Sedu, Selangor-Kangkong, Peat, Telemong-Akob, Holyrood-Lunas, Batu Anam-Melaka-Tavy, Rengam-Jerangau, Kulai–Yong Peng and Steepland soils. All the samples were dried, grinded and sieve into fine powder for the elemental compositions and dielectric properties measurement. …”
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Architectural and building aspect of masjid by Abdul Rahim, Asiah

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General design and considerations of masjid by Abdul Rahim, Asiah

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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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Influence of waste glass and effective microorganism on the mechanical properties of concrete by Mallum, Isa

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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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