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Perbaikan practicality congestion control berbasis deep reinforment learning

Author: Haidlir Achmad Naqvi; | Call Number: T-1361 (Softcopy T-1070) Mak T-161 | Edition: 2023 | Type: Tesis

Analisis Perbaikan Practically Congestion Control Berbasis Deep Reinforcement Learning pada Skenario Jaringan Streaming Video

Author: Muhammad Taufiqul Mawarid Nazarauddin Lopa; | Call Number: SK-2349 (Softcopy SK-1831) Source Code-846 | Edition: Muhammad Hafizhuddin Hilman | Type: Skripsi

Demonstration of the congestion control algoriths implemented by TCP

Author: Ikram Ud Din; Saeed Mahfooz; Muhammad Adnan | Type: Indeks Artikel Jurnal

Congestion control in secure multiparty computation, HAL.902-909

Author: Zulfa Shaikh and Manta Sakpal; | Call Number: SEM-291A | Type: Indeks Artikel prosiding/Sem

Metode Seleksi Partisipan pada Mobile Crowdsensing Berbasis Deep Reinforcement Learning

Author: Otniel Yosi Viktorisa; | Call Number: T-1190 (Softcopy T-898) Source Code T-285 , Mak T-002 | Edition: 2017 | Type: Tesis

Sistem Rekomendasi Berbasis Deep Learning dengan data Gabungan Review dan Rating

Author: Raditya Nurfadillah; | Call Number: T-1392 (softcopy T-1101) MAK PI-192 TR-CSUI-065 | Edition: 2021 | Type: Tesis

Aggregate TCP Congestion Control using Multiple Network Probing (30-37)

Author: P. Pradhan T. Chiueh A. Neogi; | Call Number: SEM-287 | Type: Indeks Artikel prosiding/Sem

On the Burstiness of the TCP Congestion-Control Mechanism in a Distributed Computing System (110-119)

Author: P. Tinnakornsrisuphap W. Feng I. Philp; | Call Number: SEM-287 | Type: Indeks Artikel prosiding/Sem

The failure of conservative congestion control in large bandwidth-delay product networks

Author: Hyogon Kim; David J. Farber; | Call Number: SEM-217 | Type: Indeks Artikel prosiding/Sem

Deep learning: a practitioner's approach

Author: Patterson, Josh; | Call Number: 006.31 Pat d | Type: Buku

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