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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Prediction of the glucose level in blood using near infrared spectrometer by Abd. Rahim, Intan Maisarah

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Design of microstrip ultra wide band antenna with two notch filters for wireless communication by Abdulhasan, Raed Abdulkareem

“…On the other hand, it rejects one or both WiMAX (3.13 – 3.7 GHz) and WLAN (5.15-5.85 GHz) frequency bands in the other three switching configurations. …”
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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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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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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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Artificial neural network model for predicting windstorm intensity and the potential damages by Bachok, Mohd. Fairuz

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Theoretical analysis of photoparametric amplifier by Mohammed Elbireki, Majdi Farag

“…The second method is to use Optiwave software in implement is the photo parametric amplifier circuit. Photo diode PIN type has been used to detect any coming signal at the receiver circuit. …”
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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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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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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, Muhamad Aiman Raziq, Muhamad Aiman Raziq, 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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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, MuhamadAiman, 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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Improved personalised data modelling using parameter independent fuzzy weighted k-nearest neighbour for spatio/spectro-temporal data by Abdullah, Mohd Hafizul Afifi

“…The NeuCube architecture is a data processing architecture for spatio/spectro-temporal data which consists of four main modules: a spike encoding module, a recurrent SNN reservoir, an output module, and an optimization module. …”
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