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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Irish perspectives on British education: a national conference by Irish in Britain Representation Group, IBRG

“…Seminar speakers included: Catríona Ní Scannláin, Brian Foster, Ann Rossiter, Irish Youth, Brigid Loughran, Maude Casey, Alan Clinton, and Siobhán Ui Néill.…”
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A hybrid pre-processing attenuation correction technique for SPECT imaging by Sayed, Inayatullah Shah, Leeman, Sidney

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Panduan hidup wanita & keluarga Islam by Abd Rahman, Saodah

“…Ia mengandungi ilmu fardu ain yang mudah difahami serta memberi panduan kepada wanita-wanita dalm mengamalkan hukum-hakam Islam secara yakin berkaitan dengan syariah Islam. …”
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Enhancement of oil palm empty fruit bunch char by impregnation of pyrolytic carbon from tar vapor decomposition by Rozhan, Alya Naili, Cahyono, Rochim Bakti, Nomura, Takahiro, Ani, Mohd Hanafi, Mohd. Salleh, Hamzah, Akiyama, Tomohiro, Purwanto, Hadi

“…Tar vapor was obtained from fast pyrolysis of fine EFB particles at 400–700°C, and the weight ratio of fine EFB particles—the tar source—to char substrate was increased from 0.5 to 4.0. …”
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Wear study of Mg-SiCp reinforcement aluminium metal matrix composite by Maleque, Md. Abdul, ., M. Radhi, Rahman, Md. Mustafizur

“…This is due to the fact that mixed particle size supports a greater fraction of applied load while the fine and intermediate particle sizes sustain the hardening due to dislocation. …”
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Effects of simple abrasive combing and pretreatments on properties of pineapple leaf fibers (PALF) and PALF-Vinyl ester composite adhesion by Abd. Rahman, Mohamed, Mohd. Salit, Sapuan, Mridha, Shahjahan, Abdan, Khalina

“…In pineapple leaves, PALF are present in top lamina as large vascular bundles and bottom lamina as fine strands. Tensile strength and modulus of fine PALF strands are 155% and 134% higher than those of vascular bundles respectively. …”
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Binder and micro-filler characterization and properties of palm oil fuel ash polymer concrete by Abd. Khalid, Nur Hafizah

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Utilization of Silica Fume and Sodium Hydroxide in Treated Crumb Rubber for Cement Mortar by Supar, Khairi, Mohammad, Hairuddin, Kaamin, Masiri, Mohammad Azmi, Mohamad Azim, Musa, Mohd Kamaruzaman, Abdul Rahman, Mohammad Ashraf, Ahmad, Hilton, Sugiman, Sugiman

“…Cement mortar offers an excellent replacement for materials such as fine aggregate with tire rubber waste in the form of crumbs. …”
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Towards the provision of appropriate maternity spaces in healthcare facilities of Malaysia - spatial studies on the selected maternity units by Mohd Nawawi, Norwina

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Debating their beliefs to victory by Abdul Latiff, Muhamad Farid

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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 SuhailaAbd Halim, SuhailaAbd Halim, Yupiter H. P. Manurung, Yupiter H. P. Manurung, MuhamadAiman Raziq, MuhamadAiman Raziq, ChengYee Low, ChengYee Low, Muhammad Saufy Rohmad, Muhammad Saufy Rohmad, 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 SuhailaAbd Halim, SuhailaAbd Halim, Yupiter H. P. Manurung, Yupiter H. P. Manurung, MuhamadAiman Raziq, MuhamadAiman Raziq, ChengYee Low, ChengYee Low, Muhammad Saufy Rohmad, Muhammad Saufy Rohmad, 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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