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Menampilkan 1–2 dari 2 artikel
Development of a Digital Twin Based Smart Green Building Energy Management Model Integrating IoT Sensors and Predictive Sustainability Analytics
Asro Asro
; Solihin Solihin
; John Chaidir
; Febri Adi Prasetya
; Tuti Susilawati
; Muhamad Furqon
; Bentar Priyopradono
International Journal of Engineering and Applied Science
Vol 2
, No 2
(2025)
Introduction: The integration of Digital Twin (DT) technology and the Internet of Things (IoT) into Building Energy Management Systems (BEMS) offers a transformative approach to optimizing energy consumption in buildings. This study explores the development of a Digital Twin based BEMS prototype, which leverages real time data collection, predictive analytics, and machine learning to enhance energy efficiency, reduce costs, and support sustainability goals in modern buildings. The research also...
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Adaptive Reinforcement Learning Driven Intrusion Detection and Response Mechanisms for Zero Trust Architecture in 5G and Beyond Networks
Dwi Utari Iswavigra
; Ahmad Jurnaidi Wahidin
; Yogiek Indra Kurniawan
; Yulaikha Maratullatifah
; Tuti Susilawatii
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
This study explores the development and evaluation of an adaptive Intrusion Detection and Response System (IDRS) driven by Reinforcement Learning (RL) for securing 5G networks. The RL-based IDS is designed to overcome the limitations of traditional security systems by dynamically learning from real time network traffic and adapting to emerging cyber threats. Introduction: The rapid growth of 5G networks, with their increased number of connected devices and complex traffic patterns, necessitates...
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