Nazirah juara putra Idol UPM by Utusan Malaysia

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Putra Idol UPMKB Kutip Dana Untuk Rumah Orang Tua Seri Kenangan Sibu by Universiti Putra Malaysia, Bahagian Komunikasi Korporat

“…BINTULU – Pertandingan nyanyian karaoke Bakti Amal Putra Idol 2010 anjuran pelajar Kursus Baktisiswa Kumpulan 3 (QKK2101) Universiti Putra Malaysia Kampus Bintulu (UPMKB) berjaya mengumpul dana sebanyak RM1,500 untuk disumbangkan kepada rumah orang tua Seri Kenangan, Sibu. …”
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Influence Of Gender And Body Mass Index On Body Image Among Malaysian Adolescents Aged 11 To 15 Years by Phan, Ying Yih

“…Females however were more likely to choose beauty for their concern and look to models and idols…”
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Hybridity, confucianism, and ambiguity in the South Korean soft power model in Hallyu 1.0 by Loo, Fung Ying, Loo, Fung Chiat

“…However, we question the absence of discussion and detailed analysis of major elements in the Korean popular cultural production that we found are similar to many identical Western models, including the theme song as the catalyst of Hallyu 2.0, “reserved romance,” and ambiguity in the discussion of image branding among male idols, that may not fully reflect claims of Confucianism.…”
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Effect of masking techniques on computational complexity reduction of scale invariant feature transform by Sai'd, Yunusa Ali

“…The evaluation was conducted using two classifiers in pattern recognition on the classification of Royal Institute of Technology-Image Data for Robot Localization (KTH-IDOL2) database. The classifiers are Nearest Neighbor (NN) and Multilayer Perceptron (MLP). …”
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'No hugging please, we are Muslims': Akademi Fantasia, Malay television audiences and the negotiation of global popular cultural forms by Shamshudden, Rosya Izyanie, Morris, Brian

“…Based on the Mexican talent search show, La Academia, Malaysia's AF is a unique hybrid blend of an Idol-style talent contest and Big Brother observational spectacle. …”
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Damage identification for multi-rotor drone using convolutional neural network technique by Ma, Yumeng

“…Three axes vibration data were acquired under different conditions,for the sake of safety,the UAV was conducted under the ground with a idol motor speed. After the data collection,the data preprocessing techniques linear interpolation method Laida criterion were adopted to process the missing data and inconsistent data.For damage identification,three machine learning techniques, including decision tree, random forest, K-Nearest- Neighbours (KNN) were adopted to identify the damage for multi-rotor drone and finally with the accuracy of 68.74%, 67.96%, 91.71%, respectively. …”
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