Application of Bayesian Theorem in the Classification of Electrical Circuits Using YOLOv8

Author:

Shayakhmetova AssemORCID,Abdildayeva AsselORCID,Akhmetova ArdakORCID,Abdurakhmanov Nurken

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Jin, H., Verma, F., Nagarajan, S.S., Raj, A.: Bayesian derivation of the spectral graph model for brain oscillations. NeuroImage (2023)

2. Bian, L., Wang, N., Novelli, L., Keith, D., Razi, A.: Hierarchical Bayesian inference for discovering communities and connections of functional brain networks. arXiv preprint (2023)

3. Kerson, C., Lubar, D., de Beus, R., Pan, H., Rice, R.: EEG association in ADHD vs. Normative database: a cohort analysis of 120 subjects from the ICAN study. Applied Materials (2023)

4. Deepshikh, K., Yelleny, S.H., Srijit, K.: Monte Carlo dropblock for modeling uncertainty in the detection of objects. arXiv preprint (2021)

5. Azevedo, T., de Jong, R., Mattina, M., Maji, P.: Stochastic-YOLO: efficient probabilistic detection of features in a dataset by. arXiv preprint (2020)

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