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. …”
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Tunneling-induced ground movement and building damage prediction using hybrid artificial neural networks by Hajihassani, Mohsen

Get full text

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

“…The ANN produced highly accurate water quality classification. …”
Get full text
Get full text
Get full text

Influence of midblock median opening on quality of multilane highway service by Paydar, Ali

Get full text

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. …”
Get full text

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. …”
Get full text
Get full text

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. …”
Get full text
Get full text
Get full text

A modified savonius turbine with moveable blades for higher efficiency by Abbasabadi, Reza Hassanzadeh

Get full text

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. …”
Get full text
Get full text

Behavior of fiber reinforced polymer grouted splice connections by Koushfar, Kiarash

Get full text

Prediction of sedimentation and bank erosion due to the construction of Kahang Dam by Nda, Muhammad

“…This research used the Artificial Neural Network (ANN) and ANN with Autoregressive (AR) (NNETAR) in predicting suspended sediment concentration using sediment concentration, discharge and water level as inputs. …”
Get full text
Get full text
Get full text

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. …”
Get full text

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. …”
Get full text

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

Get full text

Modeling of fenton treatment for landfill leachate by response surface methodology, multiple linear regression and artificial neural network by Roudi, Anita Maslahati

Get full text

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). …”
Get full text
Get full text
Get full text

EMG motion pattern classification through design and optimization of neural network by Ahsan, Md. Rezwanul, Ibrahimy, Muhammad Ibn, Khalifa, Othman Omran

“…This paper illustrates the classification of EMG signals through design and optimization of Artificial Neural Network (ANN). Different types of ANN models are basically structured with many interconnected network elements which can develop pattern classification strategies based on a set of input/training data. …”
Get full text