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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Frequency reconfigurable substrate integrated waveguide (SIW) cavity F-shaped slot antenna by AL-Fadhali, Najib, A Majid, Huda, Omar, Rosli, Mokhtar, Mohd Hezri, Abo Mosali, Najmaddin

“…Configurability is accomplished by embeddings PIN diode switches in the 'F' slot. The proposed antenna is equipped for exchanging between working band of 3.172 GHz to 3.606 GHz in four different narrow bands and it underpins the cognitive system for LTE2300, WiMAX and WLAN. …”
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Ajaran sesat, edisi kedua by Mohd. Amin, Wan Mohd. Azam

“…Bab pertama membincangkan isu-isu ajaran sesat secara umum di Malaysia dengan memberi keutamaan kepada kes the Unification Church di Korea Selatan dan persamaan isu tersebut dengan kes Ayah Pin di Terengganu. Dalam bab kedua, isu hubungan antara muzik dan dadah dengan ajaran sesat telah dibincangkan dengan menggunakan kes Black Metal dan gejala murtad sebagai kajian kes. …”
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Sensory-based colour sorting automated robotic cell by Ata, Atef A, Rafeek, Ahmad, Yusof, Hanani

“…The aim of this research work is to recognize colour by pin point detection and sorting of object specimens with respect to their colour attributes, which includes hue, saturation and luminance level. …”
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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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Aluminium metal matrix composite: improving wear performance through treatment by Maleque, Md. Abdul, Karim, Md. Rezaul, Yassin, N.

“…The wear test was carried out using a pin-on- disc type tribo-test machine under dry sliding condition. …”
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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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Pragmatic and cultural considerations of compliment responses among Malaysian-Malay speakers by Othman, Normala

“…However, in the Eastern culture, when compliments are paid, they are either rejected or denied (Gu, 1990; Chen, 1993). Malaysia is a multicultural society with a colonial history. …”
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Substrate integrated waveguide cavity backed frequency reconfigurable antenna for cognitive radio applies to internet of things applications by AL-Fadhali, Najib, A. Majid, Huda, Omar, Rosli, H. Dahlan, Samsul, Ashyap, Adel Y. I., M. Shah, Shaharil, A. Rahim, Mohamad K., F. Esmail, Bashar A.

“…Reconfiguration of frequency bands is achieved using PIN diodes. The antenna resonated at 2.624, 2.664, 2.720, 2.752, 4.304, 4.532, 4.556, 5.236, 5.304, 5.368, 5.332, and 5.392 GHz. …”
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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

“…However number of surface roughness prediction models available in the literature is limited [1-5]. B. 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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Tribological (wear) properties of aluminum–silicon eutectic base alloy under dry sliding condition by Alias, Tuti Yasmin, Khalid, Asad A., Haque, Md. Mohafizul

“…Wear experiments on both samples were conducted with a pin-on-disk type wear testing apparatus. The test variables were the rotational speed, input weight, and time/sliding distance. …”
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3rd order coupled-resonator bandpass filter assisted by Groove Gap-Waveguide technology for 26-GHz radio link diplexer by Alibakhshikenari, Mohammad, Parand, Peiman, Zidour, Ali, Virdee, Bal Singh, Longhi, Patrick, See, Chan Hwang, Limiti, Ernesto

“…Its unit-cells consist of a rectangular metal-pin which is connected to a bottom metal plate and its other side is electromagnetically coupled to a top plate with an air-gap of approximately λ/4 that creates a bandgap, preventing unwanted electromagnetic-wave propagation. …”
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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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Remote operation of CNC milling through virtual simulation and remote dekstop interface by , Afzeri, Sutjipto, Agus Geter Edy, Muhida, Riza, Konneh, Mohamed, ., Darmawan

“…Capability of remote operation is supported by an auto setup attachment with a reconfigurable pin type setup free technology installed on the table of CNC milling machine to perform unattended machining process. …”
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Microelectrical mechanical systems switch for designing multi-band antenna by Alam, A. H. M. Zahirul, Islam, Md. Rafiqul, Khan, Sheroz, Rashid, Muhammad Mahbubur

“…Problem statement: In this study Microelectrical Mechanical System (MEMS) switches were proposed to design a reconfigurable/multi-band antenna to replaced PIN diode switches or semiconductor switches due to lower insertion losses, good isolation, much lower intermodulation distortion, and lower power consumption. …”
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The effect of palm oil diesel fuel contaminated lubricant on sliding wear of cast irons against mild steel by Masjuki, H.H., Maleque, Md. Abdul

“…This was done on three types of cast iron, namely spheroidal graphite, flake graphite and chilled cast iron against a mild steel disc configuration using a pin-on-disc type of friction and wear apparatus. …”
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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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