Development of an artificial neural network model for the prediction of the chip serration frequency in end milling of medium carbon steel by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry, Ginta, Turnad Lenggo, Alam, S., Lajis, M. A.

“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed, and axial depth of cut. …”
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Electromyography (EMG)-based thump-tip force estimation for prosthetic thumb by Jalaludin, Nor Anija, Shamsudin, Abu Ubaidah, Sidek, Shahrul Na'im, Aibinu, Abiodun Musa

“…The relationship between the EMG signals to the thumb-tip force is established by using Artificial Neural Network (ANN). A series of experiments have been conducted and preliminary results show the efficacy of ANN to capture the relationship model.…”
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Artificial neural network chip serration frequency model in end milling of medium carbon steel by Patwari, Muhammed Anayet Ullah, Amin, A. K. M. Nurul, Faris, Waleed Fekry

“…The input parameters of the ANN model are the cutting parameters: cutting speed, feed and axial depth of cut. …”
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Artificial Neural Network in Seismic Reflection Method for Measuring Asphalt Pavement Thickness by Remmani, Sid Ahmed, Madun, Aziman, Mohd Kamaruddin, Nurul Hidayah, Laghouiter, Oussama

“…The seismic reflection method analysis using the ANN successfully measured the asphalt pavement layer thickness. …”
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Artificial intelligence based direct torque control of induction motor drive system by Alhamin, Sarinah Binti, Sim, Sy Yi, Chien, Siong Kai, Zambri, Nor Aira, Mustafa, Farahiyah, Alvin Lim, Meng Siang

“…This study proved that the performance and dynamics of the induction motor are enhanced using ANN controller as compared with PI controller.…”
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Effects of flux application and melting parameters in investment casting of pure aluminium by in-situ melting technique by Saleh, Aslinda

“…The aluminium granules then were heated at the temperature of 850oC for 30 min in argon environment at the flow rate of argon gas 0.5, 2.5 and 5 l/min to reduce the oxidation of the aluminium granules. …”
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Comment on: Laparoscopic transperitoneal ureterolithotomy for large ureteric stone by Kamarulzaman, Mohd Nazli

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Future Internet Addressing (FI Address) by Pathan, Al-Sakib Khan

“…Ann innovative FI address scheme is discussed…”
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Kesan pembelajaran berasaskan masalah terhadap motivasi pelajar dalam mata pelajaran kemahiran hidup by Jasman, Kamal

“…Namun begitu, nilai skor min motivasi keseluruhan Kumpulan Rawatan adalah lebih tinggi daripada Kumpulan Kawalan. …”
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A study on the benefits of practical training for undergraduate students by Abdullah, Kalthom, Ismail, Yusof, Mhd Sarif, Suhaimi

“…The purpose ofthis study is to find out the students' opinion regarding the benefits ojpractical training If the students find that practical training is beneficial to them, the researchers would like to find Olit in what ways they are beneficial, and ifnot, what are the alternatives…”
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Pembangunan modul pembelajaran kendiri pendidikan alam sekitar bagi pelajar sekolah menengah by Ramli, Azuin

“…sf;ca/ Packages For socz'a/ & f e / : c e j (SP-S^ i^er^zoH 77.0 yang melibatkan skor min, peratus dan ujian t. Dapatan kajian menunjukkan kesesuaian isi kandungan modul (skor min= 3.19), kesesuaian aktiviti (skor min = 3.18), tahap keboiehiaksanaan (skor min = 3.17) dan ciri-ciri mesra pengguna (skor min = 3.20) adaiah pada tahap yang tinggi. …”
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Extraction and characterisation of pectin from dragon fruit (hylocereus polyrhizus) peels by Abang Zaidel, Dayang Norulfairuz, Md Rashid, Jamaeyah, Hamidon, Nurul Hazirah, Md. Salleh, Liza, Mohd Kassim, Angzzas Sari

“…Pectin from dragon fruit peels was determined as low methoxyl pectin and has high percentage of antioxidant activity with low value of inhibition concentration (IC50) (0.0063 to 0.0080 mg/mL). 60 min extraction sample exhibits the highest antioxidant activity (81.91 % at 40 μg/mL), followed by 80 min extraction (81.68 % at 40 μg/mL), 40 min extraction (81.38 % at 40 μg/mL) and 20 min extraction (81.31 % at 40 μg/mL).…”
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Optimizing Sustainable Concrete Strength With Laminated Waste Glass (Lwg): Insights From Waterto-Cement Ratios And Slump Values (0.35-0.5) by Mohd Roslan, Muhammad Lutfi Fitri, Mohd Zuki, Sharifah Salwa, Shahidan, Shahiron, Mohammad Azmi, Mohamad Azim

“…This study investigates the use of laminated waste glass (LWG) as a fine aggregate in concrete, with a focus on optimizing strength and workability through variation in water-to-cement (w/c) ratios. …”
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Characteristics of ferrocement sandwich aerated concrete wall elements incorporating pozzolanic waste materials by Navaz, Taha Mehman

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Surface Electromyography (sEMG)-based thumb-tip angle and force estimation using artificial neural network for prosthetic thumb by Sidek, Shahrul Na'im, Jalaludin, Nor Anija, Shamsudin, Abu Ubaidah

“…The classification of the EMG signals based on different force and thumb configuration is performed by using Artificial Neural Network (ANN). A series of experiments have been conducted and preliminary results show the efficacy of ANN to classify the EMG signals.…”
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Development of Quran reciter identification system using MFCC and neural network by Asda, Tayseer Mohammed Hasan, Gunawan, Teddy Surya, Kartiwi, Mira, Mansor, Hasmah

“…Therefore, this paper is about the development of Quran reciter recognition and identification system based on mel frequency cepstral coefficient (MFCC) feature extraction and artificial neural network (ANN). From every speech, characteristics from the utterances will be extracted through neural network model. …”
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Cancer classification from DNA microarray data using mRMR and artificial neural network by Akhand, M. A. H, Miah, Md. Asaduzzaman, Mir, Hussain Kabir, Rahman, M.M. Hafizur

“…This study considered information theoretic based minimum Redundancy Maximum Relevance (mRMR)method to select important genes and then employed artificial neural network (ANN) for cancer classification. Proposed mRMR-ANN method has been tested on a suite of benchmark data sets of various cancer. …”
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A neural network computer model of the hydrodynamical flow in the River Medway estuary at its confluence with the River Thames by Rees, Lyn Hugh

“…An artificial neural network (ANN) model for both depth and velocity with zero bottom friction was designed to use as a precursor to a full friction model. …”
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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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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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