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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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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Correlation study between clinical special tests for myelopathy and MRI findings in patients seen for cervical dysfunction by Zakaria@Mohamad, Zamzuri, Sharifudin, Mohd Ariff, Din, Hishamudin, Abd. Aziz, Azian

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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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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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Classification of water quality using artificial neural network by Sulaiman, Khadijah

“…The ANN produced highly accurate water quality classification. …”
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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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Bone mineral density in asthmatic patients on inhaled corticosteroids in a developing country by Kuan, Yeh Chunn, How, Soon Hin, Abd. Aziz, Azian, Chong, Kin Liam, Ng, Teck Han, Abdul Rani, Mohammed Fauzi

“…RESULTS, A total 01 143 subjects were recruited (69 asthmatics and 74 control subjects). T-scores of the spine, femur, and hip of the asthmatics vs the control subjects were mean, -0,72 VS -0 .57 (P = 0.98): median, -0.60 vs -0,80 (P=0 474), and mean, 0,19 vs 0.06 (P=0.275), respectively. …”
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Biomechanical Study of Posterior Lumbar Interbody Fusion: A Review by Muhammad Huzaifah Azmi, Muhammad Huzaifah Azmi, Muhammad Hazli Mazlan, Muhammad Hazli Mazlan, NurSalihaMd Salleh, NurSalihaMd Salleh, Hiromitsu Takano, Hiromitsu Takano, Muhammad Hilmi Jallil, Muhammad Hilmi Jallil, Muhammad Anas Razali, Muhammad Anas Razali, Abdul Halim Abdullah, Abdul Halim Abdullah

“…Degenerative disc disease is a spinal disorder in which the vertebral disc helps protect nerves and increase spine flexibility that begins to deteriorate. The syndromehappens in the lumbar spine, which is crucial in supporting the weight of the human body. …”
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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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Behavior of fiber reinforced polymer grouted splice connections by Koushfar, Kiarash

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

“…In the present study, wear behavior of the Fe-C-Si and Fe-C-Al cast irons were investigated using a pin-on-disk type apparatus at room temperature. …”
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Biomechanical evaluation and new improvement on ankle external fixator by Ramlee, Muhammad Hanif

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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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Modelling of traffic control delays at priority junctions using artificial neural network by Mohammad Ali Sahraei

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