Process identification and discrimination in the environmental dose rate time series of a radiopharmaceutical facility using machine learning techniques-Reference-Cited by-同舟云学术

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Process identification and discrimination in the environmental dose rate time series of a radiopharmaceutical facility using machine learning techniques

Published:2023-08 Issue: Volume:198 Page:110878
ISSN:0969-8043
Container-title:Applied Radiation and Isotopes
language:en
Short-container-title:Applied Radiation and Isotopes

Author:

Chandra Anirudh^ORCID,Saindane Shashank,Murali S.

Funder

Bhabha Atomic Research Centre

Publisher

Elsevier BV

Subject

Radiation

Reference33 articles.

1. The k-means algorithm: a comprehensive survey and performance evaluation;Ahmed;Electronics,2020

2. Support vector machines for classification;Awad,2015

3. Preparing, conducting, and analyzing Delphi surveys: cross-disciplinary practices, new directions, and advancements;Beiderbeck;MethodsX,2021

4. Analysis of a random forests model;Biau;J. Mach. Learn. Res.,2012

5. A review on outlier/anomaly detection in time series data;Blazquez-Garcia;ACM Comput. Surv.,2022

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1. The Smart Early Detection of Addison's Disease Using Time Series Analysis;2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC);2024-01-29

2. Ionizing Radiation Measurements;Handbook on Radiation Environment, Volume 2;2024

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