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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First record of the South American sailfin catfish Pterygoplichthys multiradiatus in Bangladesh by Hossain, Md. Yeamin, Rahman, Mohammad Mustafizur, Ahmed, Zoarder Faruque, Ohtomi, Jun, Islam, A. B M S

“…They are characterized by bony plates covering the body, a pair of subterminal barbels, sucking lips, usually a spine in front of the adipose fin, and a flat-bottom body shape (Page and Burr, 1991), and are naturally occurring in a variety of freshwater habitats from sea level to 3000 m, often surviving in conditions that exclude other fishes. …”
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Bio-inspired snake robot locomotion: a CPG-based control approach by Billah, Md. Masum, Khan, Md. Raisuddin

“…In line with this concept, an artificial control system is known as Central Pattern Generator (GPG) is an online motion generation system that can be generated instantly like spine based control system. CPG also generates online motion instantly. …”
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Intelligent network design driven by big data analytics, IoT, AI and cloud computing by Kumar, Sunil, Mapp, Glenford, Cengiz, Korhan

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Prevalence of snoring and craniofacial features in Malaysian children from hospital-based medical clinic population by Banabilh, Saeed, Asha'ari, Zamzil Amin, Hamid, Suzina

“…The cephalometric X-ray showed that the snoring children manifested a significant different craniofacial features, such as narrow airway at the level of the soft palate and oropharynx (p<0.05), more inferiorly positioned hyoid bone (p<0.05), longer vertical airway length from posterior nasal spine to the base of epiglottis (p<0.05), more protruding maxilla, and anterior–posterior discrepancy of maxilla and mandible (p<0.05). …”
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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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Degradation of cephalexin toxicity in non-clinical environment using zinc oxide nanoparticles synthesized in Momordica charantia extract; Numerical prediction models and deep learn... by Adel Ali Al-Gheethi, Adel Ali Al-Gheethi, Rubashini A.P. Alagamalai, Rubashini A.P. Alagamalai, Efaq Ali Noman, Efaq Ali Noman, Radin Mohamed, Radin Maya Saphira, Ravi Naidu, Ravi Naidu

“…MCZnO NPs have a white colour, spherical shape, non-agglomerated, smooth surface and size-wise they ranged from 50 to 100 nm. The ANN results indicated that 88.87% of CFX was degraded using 50 mg/L of MCZnO NP, 40 mg/L of CFX, at pH 9, and after 180 min. …”
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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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Degradation of cephalexin toxicity in non-clinical environment using zinc oxide nanoparticles synthesized in Momordica charantia extract; Numerical prediction models and deep learn... by Adel Ali Al-Gheethi, Adel Ali Al-Gheethi, Rubashini A.P. Alagamalai, Rubashini A.P. Alagamalai, Efaq Ali Noman, Efaq Ali Noman, Radin Mohamed, Radin Maya Saphira, Ravi Naidu, Ravi Naidu

“…MCZnO NPs have a white colour, spherical shape, non-agglomerated, smooth surface and size-wise they ranged from 50 to 100 nm. The ANN results indicated that 88.87% of CFX was degraded using 50 mg/L of MCZnO NP, 40 mg/L of CFX, at pH 9, and after 180 min. …”
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