ENHANCING SLA RELIABILITY IN TELCO NETWORKS THROUGH LSTM-BASED TIME SERIES PREDICTIONS
This study delves into the integration of Long Short-Term Memory (LSTM) networks and Genetic Algorithms (GA) to enhance Service Level Agreements (SLAs) in telecommunication infrastructure, with a particular focus on Indonesia’s 3T regions (Tertinggal, Terdepan, dan Terluar). These regions, character...
Saved in:
Main Author: | Farros Alfarobby, Daffa |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/87820 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
Leadership in Philippine Telco Industry
by: Mosqueda, Cathrina P.
Published: (2001) -
Travel time prediction using LSTM
by: Narayanan Aakash Kumar
Published: (2019) -
Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)
by: Zhang, Ying, et al.
Published: (2024) -
When to turn to mediation in telco disputes
by: QUEK ANDERSON, Dorcas
Published: (2016) -
Implementation of Empath X SLA predictive tool for a government agency
by: LEE, Hui Shan, et al.
Published: (2022)