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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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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Enrichment of fruit wastes with white rot fungi under submerged state bioconversion by Jamal, Parveen, Saheed, Olorunnisola Kola, Alam, Md. Zahangir, Muyibi, Suleyman Aremu, Abdul Karim, Mohamed Ismail

“…On Banana and Pineapple (BPin) the protein content were recorded as18.05 and 15.75 mg/g, which was higher than Papaya and Pineapple (PinPw) and Banana and Papaya (BPw)composite. M6 has 15.4 and 9.78 mg/g on BPinPw, 13.84 and 13.59 mg/g on BPw, 20.82, and 22.97 mg/g on BPin and 18.29 and 11.59 mg/g on PinPw. …”
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Electrical breakdown and structural characterization in synthetic resins using optical techniques by Dodd, Stephen John

“…The early tree growth is shown to be driven by the high electrical field near the pin tip, which is itself dependent on the pin-plane electrode separation as well as the applied voltage. …”
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Development of remote operability CNC milling by ., Afzeri, Muhida, Riza, ., Darmawan

“…Attachment consists of three main equipments; material indexing device, Sub clamp with pin and vise index…”
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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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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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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

“…But in comparing the two models through the R2 and Absolute Average Deviation (AAD), ANN (R2 =0.9967, AAD=2.63 %) shows more superior values to the RSM (R2 =0.9584, AAD=5.91%), thus ANN produced better fitted models in predicting AgNPs yield production. …”
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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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Multi-Mode Yagi Uda Patch Array Antenna With Non-Linear Inter-Parasitic Element Spacing by ISA, SITI RAHENA, JUSOH, MUZAMMIL, THENNARASAN SABAPATHY, THENNARASAN SABAPATHY, KAMARUDIN, MUHAMMAD RAMLEE, OSMAN, MOHAMED NASRUN, AKRAM ALOMAINY, AKRAM ALOMAINY

“…Applying the inter-parasitic element spacing’s optimization and minimizing the switching circuitry using four RF PIN diodes on the parasitic elements have contributed to the gain achievement of more than 7 dBi.…”
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Antimicrobial, Antioxidant, Anti-Inflammatory and Cytotoxic Activities of Garcinia Eugenifolia and Calophyllum Enervosum by Bakhtiar, M. Taher, Muhammad Sum , Idris, Dayar, Arbain

“…One of these was found to be a novel compound identified as enervosanone. Five known compounds cambogin, epicatechin, osajaxanthone, rubraxanthone and isocowanol, were also isolated. …”
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Classification of water quality using artificial neural network by Sulaiman, Khadijah

“…Concentrations of these six parameters were used in the mathematical equation of the DOE-WQI technique and as input variables in the ANN database system. Based on the average WQI values of 35 stations for each river, it is shown that Pontian Kecil and Batu Pahat river were categorised in class III with WQI values of 71.2 and 71.5 respectively. …”
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Computational intelligence: application in digital watermarking by Olanweraju, Rashidah Funke, Khalifa, Othman Omran

“…Mathematical model of ANN in relation to digital watermarking is indentified, elucidated and simplified. …”
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