Random forests for predicting species identity of forensically important blow flies (Diptera: Calliphoridae) and flesh flies (Diptera: Sarcophagidae) using geometric morphometric data: Proof of concept-Reference-Cited by-同舟云学术

Random forests for predicting species identity of forensically important blow flies (Diptera: Calliphoridae) and flesh flies (Diptera: Sarcophagidae) using geometric morphometric data: Proof of concept

Published:2021-01-13 Issue:3 Volume:66 Page:960-970
ISSN:0022-1198
Container-title:Journal of Forensic Sciences
language:en
Short-container-title:J Forensic Sci

Author:

Khang Tsung Fei¹²,Mohd Puaad Nur Ayuni Dayana³,Teh Ser Huy⁴,Mohamed Zulqarnain³⁵

Affiliation:

1. Institute of Mathematical Sciences University of Malaya Kuala Lumpur Malaysia

2. University of Malaya Centre for Data Analytics University of Malaya Kuala Lumpur Malaysia

3. Institute of Biological Sciences University of Malaya Kuala Lumpur Malaysia

4. Gene Express Sdn. Bhd Selangor Malaysia

5. Institute of Advanced Studies University of Malaya Kuala Lumpur Malaysia

Publisher

Wiley

Subject

Genetics,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/1556-4029.14655

Reference79 articles.

1. Forensic entomology: applications and limitations

2. Using bacterial and necrophagous insect dynamics for post-mortem interval estimation during cold season: Novel case study in Romania

3. Phoretic Mites and Carcasses: Acari Transported by Organisms Associated with Animal and Human Decomposition

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Functional data geometric morphometrics with machine learning for craniodental shape classification in shrews;Scientific Reports;2024-07-06

2. Recent Developments in the Study of Forensic Flies;Biology of Forensically Important Invertebrates;2024

3. Machine learning analysis of wing venation patterns accurately identifies Sarcophagidae, Calliphoridae and Muscidae fly species;Medical and Veterinary Entomology;2023-07-21

4. On the classification of simple and complex biological images using Krawtchouk moments and Generalized pseudo-Zernike moments: a case study with fly wing images and breast cancer mammograms;PeerJ Computer Science;2021-09-09