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Pulmonary tuberculosis detection on chest X-ray images using deep learning
Author: Syifa Nurhayati; | Call Number: TR-CSUI/022 (021-025) 2022 | Type: Technical Report
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Chest X-ray patch classification for tuberculosis detection
Author: Syifa Nurhayati; Laksmita Rahadianti Dina Chahyati Prasandhya Astagiri Yusuf Erikc Daniel; | Call Number: Mak T Jilid 096-120 (T-1318) (Mak T-117) | Type: Makalah Tesis
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Vessel Detection Based On Deep Learning Approach
Author: Irwan Priyanto; | Call Number: TR-CSUI/004(001-010) 2022 | Type: Technical Report
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Ensemble Learning Versus Deep Learning for Hypoxia Detection in CTG Signal
Author: Riskyana Dewi Intan P; M. Anwar Ma`Sum Noverina Alfiany Wisnu Jaymiko Aria Kekalih Alhadi Bustamam; | Call Number: Mak T Jilid 071-095 (T-1271) (Mak T-075) | Type: Makalah Tesis
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Ensemble Learning versus deep learning for Hypoxia detection in CTG Signal (57-62)
Author: Riskyana Dewi Intan Puspitasari M. Anwar Ma'sum Noverina Alfiany Wisnu Jatmiko; | Call Number: SEM-373 | Type: Indeks Artikel prosiding/Sem
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Automatic Nucleus Detection of Pap Smear Images using Stacked Sparse Autoencoder
Author: Ratna Mufidah; Ito Wasito; Nurul Hanifah; Moh. Faturrahman; Fakhirah D.; Ghaisani; | Call Number: Mak T Jilid 016-035 (T-1217) (Mak T-025) | Type: Makalah Tesis
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Shoreline Change Detection Based on Multispectral Images Using 2D-Principial Component Analysis of Band Images And Histogram of Oriented Gradient Features
Author: I Gede Wahyu Surya Dharma, Aniati Murni Arymurthy; | Call Number: SEM-372 | Type: Indeks Artikel prosiding/Sem
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Single image dehazing using deep learning
Author: Cahyo Adhi Hartanto; Laksmita Rahadianti; | Call Number: Mak T Jilid 096-120 (T-1304) (Mak T-103) | Type: Makalah Tesis
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Weather Forecasting Using Deep Learning Techniques (281-286)
Author: Afan Galih Salman Bayu Kanigoro Yaya Heryadi; | Call Number: SEM-345 | Type: Indeks Artikel prosiding/Sem
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past, present, and future trend of GPU Computing in deep learning on medical images (hal. 21-27)
Author: Toto Haryanto, Heru Suhartanto, Xue Lie; | Call Number: SEM- 372 | Type: Indeks Artikel prosiding/Sem
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