Content-Based Machine Learning Approach for Hardware Vulnerabilities Identification System-Reference-Cited by-同舟云学术

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Content-Based Machine Learning Approach for Hardware Vulnerabilities Identification System

Published:2021 Issue: Volume: Page:117-126
ISSN:2367-4512
Container-title:Advances in Computer Science for Engineering and Education IV
language:
Short-container-title:

Author:

Iashvili Giorgi,Avkurova Zhadyra,Iavich Maksim,Bauyrzhan Madina,Gagnidze Avtandil,Gnatyuk Sergiy

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-80472-5_10

Reference13 articles.

1. Lecture Notes in Computer Science;MJ Pazzani,2007

2. Lops, P., Jannach, D., Musto, C., Bogers, T., Koolen, M.: Trends in content-based recommendation. User Model. User-Adap. Inter. 29(2), 239–249 (2019). https://doi.org/10.1007/s11257-019-09231-w

3. Roy, P., Chowdhary, S., Bhatia, R.: A machine learning approach for automation of resume recommendation system. Procedia Comput. Sci. 167, 2318–2327 (2020). https://doi.org/10.1016/j.procs.2020.03.284

4. Gorakala, S.K.: Building Recommendation Engines. Packt Publishing, Birmingham (2016)

5. Mohidul Islam, S.M., Debnath, R.: A comparative evaluation of feature extraction and similarity measurement methods for content-based image retrieval. Int. J. Image Graph. Signal Process. (IJIGSP) 12(6), 19–32 (2020). https://doi.org/10.5815/ijigsp.2020.06.03

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