Machine Learning-Based Run-Time DevSecOps: ChatGPT Against Traditional Approach

被引：0
作者：
Petrović, Nenad [1 ]
机构：
[1] University of Niš, Faculty of Electronic Engineering, Niš, Serbia
来源：
Proceedings - 10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023 | 2023年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
10th International Conference on Electrical, Electronic and Computing Engineering, IcETRAN 2023
中图分类号：
学科分类号：
摘要：
Python - Well logging
引用
收藏
相关论文
共 32 条
  • [21] Deep Learning-Based CSI Feedback for RIS-Aided Massive MIMO Systems with Time Correlation
    Peng, Zhangjie
    Li, Zhaotian
    Liu, Ruijing
    Pan, Cunhua
    Yuan, Feiniu
    Wang, Jiangzhou
    arXiv,
  • [22] Machine Learning-Based Daily Rainfall Data Gap-Filling Method: A Case Study of DKI Jakarta Area
    Asshidiqi, Muhammad Fajar
    Saputro, Adhi Harmoko
    Proceedings - 2023 3rd International Conference on Electronic and Electrical Engineering and Intelligent System: Responsible Technology for Sustainable Humanity, ICE3IS 2023, 2023, : 19 - 24
  • [23] Detecting Ransomware Attacks in Cloud Environment Using Machine Learning-Based Intelligence System in COVID-19 Chaos
    Ghazi, Mohd. Rehan
    Raghava, N.S.
    2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation, IATMSI 2022, 2022,
  • [24] A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
    Nguyen, Anh-Tu
    Nguyen, Thao
    Le, Huy-Khiem
    Pham, Huy-Hieu
    Do, Cuong
    arXiv, 2022,
  • [25] CM-SegNet: A deep learning-based automatic segmentation approach for medical images by combining convolution and multilayer perceptron
    Xing, Wenyu
    Zhu, Zhibin
    Hou, Dongni
    Yue, Yaoting
    Dai, Fei
    Li, Yifang
    Tong, Lin
    Song, Yuanlin
    Ta, Dean
    Computers in Biology and Medicine, 2022, 147
  • [26] Time Series Forecasting of Cardiovascular Mortality: Machine Learning Based on State Economic and Local Medical Data
    Gebel, German
    Metsker, Oleg
    Fedorenko, Alexey
    Yakovlev, Alexey
    Zvartau, Nadezhda E.
    Kopanitsa, Georgy
    Studies in Health Technology and Informatics, 314 : 42 - 46
  • [27] An Examination of Machine Learning Methods for Predicting Station Departure Delay Time Based on Actual Stopping Time Data of Trains at Stations
    Takumi, Fukuda
    Member, Shuniti Sato
    Non-Member, Sei Takahashi
    Member, Hideo Nakamura
    IEEJ Transactions on Electronics, Information and Systems, 2024, 144 (08): : 831 - 837
  • [28] Machine Learning-Based Automated Diagnostic Systems Developed for Heart Failure Prediction Using Different Types of Data Modalities: A Systematic Review and Future Directions
    Javeed, Ashir
    Khan, Shafqat Ullah
    Ali, Liaqat
    Ali, Sardar
    Imrana, Yakubu
    Rahman, Atiqur
    Computational and Mathematical Methods in Medicine, 2022, 2022
  • [29] TraM: Enhancing User Sleep Prediction with Transformer-based Multivariate Time Series Modeling and Machine Learning Ensembles
    Kim, Jinjae
    Ma, Minjeong
    Choi, Eunjee
    Cho, Keunhee
    Lee, Changwoo
    arXiv,
  • [30] Predicting the impact of the third wave of COVID-19 in India using hybrid statistical machine learning models: A time series forecasting and sentiment analysis approach
    Mohan, Sumit
    Solanki, Anil Kumar
    Taluja, Harish Kumar
    Anuradha
    Singh, Anuj
    Computers in Biology and Medicine, 2022, 144
1234