Artificial Neural Network in Seismic Reflection Method for Measuring Asphalt Pavement Thickness by Sid Ahmed Remmani, Sid Ahmed Remmani, Aziman Madun, Aziman Madun, Mohd Kamaruddin, Nurul Hidayah, Oussama Laghouiter, Oussama Laghouiter

“…The seismic reflection method analysis using the ANN successfully measured the asphalt pavement layer thickness. …”
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Artificial Neural Network in Seismic Reflection Method for Measuring Asphalt Pavement Thickness by Sid Ahmed Remmani, Sid Ahmed Remmani, Aziman Madun, Aziman Madun, Mohd Kamaruddin, Nurul Hidayah, Oussama Laghouiter, Oussama Laghouiter

“…The seismic reflection method analysis using the ANN successfully measured the asphalt pavement layer thickness. …”
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Determination of angry condition based on EEG, speech and heartbeat by Mohamed, Masnani, Lee, Ri Quan, Ahmad, Ida Laila, Lee, Chee Chuan, Hamid, Siti Hanira

“…The selected features were classified by using ANN to obtain the maximum classification accuracy rate. …”
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Three history meetings at Camden Irish Centre by Irish in Britain History Group, IBHG

“…Advert for a series of lectures taking place at the Camden Irish Centre: 'Is there a revisionist history of Irish women?' Ann Rossiter, on 7 May; 'The media and the Irish in Britain' by Liz Curtis, on 4 June; and 'The South Leitrim soviet of the 1930s' by Margaret Gralton, on 2 July. …”
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Prediction of the glucose level in blood using near infrared spectrometer by Abd. Rahim, Intan Maisarah

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Intelligent prediction on axial load carrying capacity of single pile base dynamic analyzer data by Maizir, Harnedi

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Integrated bridge health monitoring, evaluation and alert system using neuro-genetic hybrids by Suryanita, Reni

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Intelligent active torque control for vibration reduction of a sprayer boom suspension system by Tahmasebi, Mona

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Pattern recognition for manufacturing process variation using integrated statistical process control – artificial neural network by Mohd Ariffin, Ahmad Azrizal

“…Investigation has been focused on an integrated SPC - ANN model. This model utilizes the Exponentially Weighted Moving Average (EWMA) control chart and ANN model in two-stage monitoring and diagnosis technique. …”
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The effect of pre-processing techniques and optimal parameters on BPNN for data classification by HUSSEIN, AMEER SALEH

“…The architecture of artificial neural network (ANN) laid the foundation as a powerful technique in handling problems such as pattern recognition and data analysis. …”
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Prediction of indoor environmental parameters for naturally ventilated building using artificial neural network: a reflection of outdoor parameters by Ghazali, Suraya

“…Results from the research show that twelve ANN models with the best structure were successfully developed to forecast indoor temperature, humidity and velocity. …”
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Evaluation of quality of service in fourth generation wireless and mobile networks by Ghadeer, Sabah Hassan

“…The method uses a fuzzy logic (FL), artificial neural network (ANN) and Adaptive Neuro-fuzzy Interference System (ANFIS) to evaluate and predict the performance QoS of networks. …”
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Automatic person identification system using handwritten signatures by Abushariah, Ahmad A. M., Gunawan, Teddy Surya, Chebil, Jalel, Abushariah, Mohammad Abd-Alrahman Mahmoud

“…For performance optimization, the effect of modifying values of basic parameters in ANN such as the number of hidden neurons and the number of epochs are investigated in this work. …”
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The interplay effects of digital technologies, green integration, and green innovation on food supply chain sustainable performance: an organizational information processing theory... by Yadav, Sanjeev, Samadhiya, Ashutosh, Kumar, Anil, Luthra, Sunil, Kumar, Vikas, Garza-Reyes, Jose Arturo, Upadhyay, Arvind

“…A combined approach of structural equation modelling (SEM) and artificial neural network (ANN) was used to examine the collected responses from different related industries and validate the robustness of the proposed hypothesis through ANN. …”
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Data pre-processing for cardiovascular disease classification: A systematic literature review by Irfan Javid, Irfan Javid, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

“…Some hybrid models including (ANN+CHI), (ANN+PCA), (DNN+CHI) and (SVM+PCA) have shown improved accuracy level. …”
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Data pre-processing for cardiovascular disease classification: A systematic literature review by Irfan Javid, Irfan Javid, Ghazali, Rozaida, Muhammad Zulqarnain, Muhammad Zulqarnain, Hassan, Norlida

“…Some hybrid models including (ANN+CHI), (ANN+PCA), (DNN+CHI) and (SVM+PCA) have shown improved accuracy level. …”
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Irish perspectives on British education. National conference event details by Irish in Britain Representation Group, IBRG

“…Seminar speakers included: Catríona Ní Scannláin, Brian Foster, Ann Rossiter, Mike Carroll, Brigid Loughran, Maude Casey, Alan Clinton, and Siobhán Ui Néill.…”
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Artificial neural network model for predicting windstorm intensity and the potential damages by Bachok, Mohd. Fairuz

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Application of response surface methodology coupled with genetic algorithm in the optimization of cutting conditions for surface roughness in end milling of Inconel 718 using coate... by Ishtiyaq, M. H., Amin, A. K. M. Nurul, Patwari, Muhammed Anayet Ullah

“…Ozcelik et al [2] generated 81 experimental data to develop a model by using Artificial Neural Networking (ANN) for predicting the surface finish of Inconel 718 in End Milling and then used the developed ANN model as a fitness function of GA to optimize the surface roughness. …”
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Quality prediction and classifcation of resistance spot weld using artifcial neural network with open‑sourced, self‑executable andGUI‑based application tool Q‑Check by Abd Halim, Suhaila, Yupiter H. P. Manurung, Yupiter H. P. Manurung, Raziq, Muhamad Aiman, ChengYee Low, ChengYee Low, Rohmad, Muhammad Saufy, John R. C. Dizon, John R. C. Dizon, Vladimir S. Kachinskyi, Vladimir S. Kachinskyi

“…Results showed that this low-cost application tool Q-Check based on ANN models can predict with 80% training and 20% test set on TSLBC with an accuracy of 87.220%, 92.865% and 93.670% for GD, SGD and LM algorithms respectively while on WQC 62.5% for GD and 75% for both SGD and LM. …”
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