| Your search for 49331 returns 2906 document(s) |
| Optimized sampling with clustering approach for large instrusion detection data. hal, 56 |
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Author: Nani yasmin, Anto Satriyo Nugroho, Harya Widiputra; | Call Number: SEM-317 | Type: Indeks Artikel prosiding/Sem
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| Identifying the degree of separability in signal detection, for use in cognitive radio approach, 445-447 |
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Author: Hadi Alipour, Saeed Ayat; | Call Number: SEM-347 | Type: Indeks Artikel prosiding/Sem
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| Topic detection and tracking interface with named entities approach. ( hal. 215-219 ) |
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Author: Omar Mabrook A. Bashaddadh and Masnizah Modh; | Call Number: SEM-364 | Type: Indeks Artikel prosiding/Sem
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| Silny approach to edge detection for central berneo batik (hal 387 - 391) |
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Author: Silvia, Suyoto; | Call Number: SEM - 362 | Type: Indeks Artikel prosiding/Sem
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| Hate Speech Detection on Indonesian Instagram Comments using FastText Approach |
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Author: Nur Indah Pratiwi; Indra Budi; Ika Alfiana; | Call Number: Mak T Jilid 016-035 (T-1227) (Mak T-034) | Type: Makalah Tesis
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| Artificial intelligence: a knowledge-based approach |
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Author: Firebough, Morris W.; | Call Number: 006.3 Fir a | Type: Buku Pusat
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| Statistical edge detection: learning and evaluating edge cues, page 57 |
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Author: S. Konishi | Type: Indeks Artikel Jurnal
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| Identifikasi Target, Kategori, dan Level Ujaran Kebencian Pada Data Twitter Berbahasa Daerah Menggunakan Classical Machine Learning dan Deep Learning |
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Author: Ajeng Dwi Asti; | Call Number: T-1321 (softcopy T-1029) Source code T-352, Mak T-120 | Edition: 2022 | Type: Tesis
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| Perbandingan Machine Learning Dan Deep Learning Pada Klasifikasi Teks dan Analisis Sentimen Terhadap Dampak Covid-19 Di Indonesia Pada Twitter Dengan Pendekatan Multi-Label |
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Author: Nadya Safitri; | Call Number: T- 1294 (Sofrtcopy T- 1002) Mak T- 93 | Edition: 2021 | Type: Tesis
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| Perbandingan penggunaan metode machine learning dan deep learning word embedding dan feature engineering pada pendeteksian berita palsu |
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Author: Rini Jannati; | Call Number: T-1261 (Softcopy T-969) Mak T-65 | Edition: 2020 | Type: Tesis
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