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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State-of-the-art application of artificial neural networks in digital watermarking and the way forward by Olanrewaju, Rashidah Funke, Abdurazzaq, Aburas Ali, Khalifa, Othman Omran, Hassan Abdalla Hashim, Aisha

“…The ability of Artificial Neural Network, ANN to learn, do mapping, classify, and adapt has increased the interest of researcher in application of different types ANN in watermarking. …”
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Effect of design peak flow factor to the capital cost of sewerage reticulation in Malaysia by Lee, Yun Fook

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Artificial neural network for modeling coagulant dosing for water treatment plants by Olanrewaju, Rashidah Funke, Muyibi, Suleyman Aremu, Salawudeen, T. Olalekan, Aibinu, Abiodun Musa

“…The correlation between actual and ANN estimation of coagulant dosing model is 0.97 of 1.00. …”
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Participation of annexin 1 in the response of Arabidopsis thaliana to lead exposure: potential for phytoremediation by Phang, Ing Chia, Leung, David W. M., Clark, Gregory B., Taylor, Harry H., Garrill, Ashley, Song, Jason, Roux, Stanley J.

“…The relative contribution of AnnAt1 in defence against Pb stress will be discussed. …”
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Tunneling-induced ground movement and building damage prediction using hybrid artificial neural networks by Hajihassani, Mohsen

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Wear characteristics of Fe-C-Si and Fe-C-Al cast irons by Shaha, Sugrib Kumar, Haque, Md. Mohafizul, Khan, Ahsan Ali

“…Alumina ball of 3 mm diameter was used as pin, while the cast sample served as the disk. The tests were carried out at a normal load of 5.0 N and a sliding velocity of 250 mm/s for 30 min. …”
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A hybrid technique for dinar coin price prediction using artificial neural network based autogressive modeling technique by Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka, Ameer Amsa, Mohamad Ghazali

“…The input data is formatted to meet the input data requirement of the ANN-based AR model. The formatted data are then fed to the ANN-based AR model for parameters estimation. …”
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Predictive model and near infrared spectroscopy in predicting the diesel fuel properties by Gamal Al-kaf, Hasan Ali

“…NIR spectroscopy shows an enormous potential for quantitative analysis of complex samples by coupling with artificial neural networks (ANNs). Although a single layer ANN shows promising in the establishing better relationship between a component of interest and NIR spectrum, a different algorithm for updating weight that has been proved to improve the performance of the multilayer could further reveal the potential of single linear layer ANN in NIR spectroscopic analysis. …”
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Harmonic elimination by switching angle optimization technique for multilevel inverter by Altayib Sahhouk, Masoud Albasheer

“…The simulation results with using the PI controller and ANN controller to reduce THDs have been compared and discussed. …”
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Low-loss paper-substrate triple-band-frequency reconfigurable microstrip antenna for sub-7 GHz applications by Singh, Ajit Kumar, Mahto, Santosh Kumar, Sinha, Rashmi, Alibakhshikenari, Mohammad, Al-Gburi, Ahmed Jamal Abdullah, Ahmad, Ashfaq, Kouhalvandi, Lida, Virdee, Bal Singh, Dalarsson, Mariana

“…The U-shaped and C-shaped emitters are meant to function at 2.4 GHz and 5.9 GHz, respectively, while the primary emitter is designed to operate at 3.5 GHz. …”
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An improved artificial bee colony algorithm for training multilayer perceptron in time series prediction by Shah, Habib

“…Learning an Artificial Neural Network (ANN) is an optimization task since it is desirable to find optimal weight sets of an ANN in the training process. …”
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Intelligent solar panel monitoring system and shading detection using artificial neural networks by M. Abdallah, Fahad Saleh, Abdullah, M.N., Musirin, Ismail, M. Elshamy, Ahmed

“…This paper proposes a novel monitoring system that uses Artificial Neural Network (ANN) technology to detect shading and other faults in PV panels. …”
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The tribological behaviour of Fe-C-Al cast iron – effect of temperature by Maleque, Md. Abdul, Sugrib , S.

“…The wear and friction tests were conducted using universal pin-on-disk machine at 25 0C, 100 0C, 200 0C and 300 0C temperature. …”
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Application of intelligent technique for development of Colpitts oscillator by Ameer Amsa, Mohamad Ghazali, Aibinu, Abiodun Musa, Salami, Momoh Jimoh Emiyoka

“…In this paper, new method of Colpitts oscillator designing through combination of Genetic Algorithm and Artificial Neural Network (ANN) has been suggested. The Thevenin's resistors for the common base Colpitts oscillator are optimized through application of GA and ANN. …”
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Metamaterial inspired electromagnetic bandgap filter for ultra-wide stopband screening devices of electromagnetic interference by Al-Hasan, Muath, Alibakhshikenari, Mohammad, Virdee, Bal Singh, Sharma, Richa, Iqbal, Amjad, Althuwayb, Ayman A., Falcone, Francisco

“…Presented here is a reactively loaded microstrip transmission line that exhibit an ultra-wide bandgap. The reactive loading is periodically distributed along the transmission line, which is electromagnetically coupled. …”
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Legacy, sustainability and Olympism: crafting urban outcomes at London 2012 by Gold, Margaret, Gold, John Robert

“…Seen against that background, this paper opens with an historical overview that spans the period since the re-establishment of the Olympics in 1896. …”
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Development of an artificial neural network algorithm for predicting the cutting force in end milling of Inconel 718 alloy by Hossain, Ishtiaq, Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

“…Compared to traditional computing methods, the artificial neural network (ANN) is robust and global. ANN has the characteristics of universal approximation, parallel distributed processing, hardware implementation, learning and adaptation, and multivariable systems. …”
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Modeling of fenton treatment for landfill leachate by response surface methodology, multiple linear regression and artificial neural network by Roudi, Anita Maslahati

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Developing a hybrid hidden MARKOV model using fusion of ARMA model and artificial neural network for crude oil price forecasting by Isah, Nuhu

“…In view of this drawbacks of these three models (ANN, ARMA and HMM), we developed an efficient Hybrid Hidden Markov Model using fusion of ARMA Model and Artificial Neural Network for crude oil price forecasting, MATLAB was employed to develop the four models (Hybrid HMM, HMM, ARMA and ANN). …”
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