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ICT For Knowledge-Based Economy: The Case Of Bahrain (B1-B7)
Author: Hadeel Al-Obaidy; | Call Number: SEM-384 | Type: Indeks Artikel prosiding/Sem
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Program development by refinement: case studies using the B method
Author: Sekerinski, E.; | Call Number: 005.133 Sek p | Type: Buku
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Facial feature point extraction using partial least square regression/ M. Hasrul Ma'ruf, M. Rahmat Widyanto
Author: Ma'ruf, M. Hasrul; Widyanto, M. Rahmat | Call Number: Pub. Staf PI-0012 | Type: Prosiding Internasional
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Dental arch form template extraction using quadratic regression/ Shinta Puspasari; M. Rahmat Widyanto
Author: Puspasari, Shinta; Widyanto, M. Rahmat | Call Number: Pub. Staf PI-0013 | Type: Prosiding Internasional
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Fixed-width sequential confidence bands in kernel regression using bootstrap approxiation, HAL. 1252-1260
Author: Sandamali Dharmshila; | Call Number: SEM-291B | Type: Indeks Artikel prosiding/Sem
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Comparative study of template design on dental arch form classification using quadratic regression, 39-44
Author: Dwina Kuswardani, M.Rahmat Widyanto; | Call Number: SEM-348 | Type: Indeks Artikel prosiding/Sem
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Constant-aplitude multiple site fatigue damage regression on an aircraft lap jont using long-short-term-memory network
Author: Muhammad Ihsan Mas; | Call Number: T-1207 (Softcopy T-915) Mak T-017 | Edition: 2018 | Type: Tesis
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Vector-based semantic analysis using random indexing for cross-lingual query expansion, (LNCS-Lecture Notes in Computer Science, 2406), 169-170
Author: Magnus Sahigren; Jussi Karigren; | Call Number: 025.04 Eva | Type: Indeks Artikel LNCS
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Prediction on Fozen Periode of Inner Monggolia Sction in Yellow River Based on an Artifical Neural Network Model (V1-467 -- V1-469)
Author: Zhang Xiaohua Deng Yu; | Call Number: SEM-334 | Type: Indeks Artikel prosiding/Sem
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The impact of feature selection methods on machine learning-based docking prediction of Indonesian medicinal plant compounds and HIV-1 protease (181-186)
Author: Rahaman Pujianto Yohanes Gultom Ari Wibisono Arry Yanuar Heru Suhartanto; | Call Number: SEM-371 | Type: Indeks Artikel prosiding/Sem
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