A hybrid approach of ConvLSTMBNN-DT and GPT-4 for real-time anomaly detection decision support in edge–cloud environments-Reference-Cited by-同舟云学术

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A hybrid approach of ConvLSTMBNN-DT and GPT-4 for real-time anomaly detection decision support in edge–cloud environments

Published:2024-07 Issue: Volume: Page:
ISSN:2405-9595
Container-title:ICT Express
language:en
Short-container-title:ICT Express

Author:

Pamungkas Radityo Fajar^ORCID,Utama Ida Bagus Krishna Yoga^ORCID,Hindriyandhito Khairi^ORCID,Jang Yeong Min^ORCID

Funder

IITP

Publisher

Elsevier BV

Reference17 articles.

1. State of IoT 2023: Number of connected IoT growing 16% to 16.7 billion globally,2023

2. Global anomaly detection market overview,2023

3. Fault identification model using iIoT for industrial application;Kumar;Meas.: Sens.,2022

4. Challenges in predictive maintenance – A review;Nunes;CIRP J. Manuf. Sci. Technol.,2023

5. Integrated prescriptive maintenance and production planning: a machine learning approach for the development of an autonomous decision support agent;Elbasheer;IFAC-PapersOnLine,2022

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