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Menampilkan 1–2 dari 2 artikel
Design of an Edge Computing Based Industrial Internet of Things Architecture for Real Time Predictive Maintenance in Advanced Manufacturing Systems
Simon Simarmata
; Panser Karo-Karo
; Budi Artono
; Muhammad Akbar Hariyono
; Ardy Wicaksono
; Antoni Pribadi
International Journal of Mechanical, Industrial and Control Systems Engineering
Vol 2
, No 4
(2025)
Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design...
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Design and Evaluation of Federated Deep Learning Framework for Privacy Preserving Healthcare Data Analytics Across Heterogeneous IoT Networks
Simon Simarmata
; Panser karo-karo
; Rino Ferdian Surakusumah
; Ahmad Budi Trisnawan
; Suyahman Suyahman
; Bentar Priyopradono
International Journal of Computer Technology and Science
Vol 1
, No 2
(2024)
The rapid advancement of deep learning technologies has significantly transformed healthcare analytics, particularly in medical data prediction and classification. This study proposes a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM) framework for multi-modal healthcare data analysis, integrating medical imaging, structured electronic health records (EHRs), and IoT-generated time-series physiological signals. The proposed architecture combines spatial feature extraction thr...
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