Forensic Characterization of Mobile Phone Cases Using Infrared Spectroscopy with Deep Learning Methods-Reference-Cited by-同舟云学术

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Forensic Characterization of Mobile Phone Cases Using Infrared Spectroscopy with Deep Learning Methods

Published:2023-12 Issue: Volume: Page:1-13
ISSN:0003-2719
Container-title:Analytical Letters
language:en
Short-container-title:Analytical Letters

Author:

Li Juhao¹,Ding Meng¹²,Zhao Dongyue¹,Chen Fushi¹,Lei Yongsheng¹,Yu Xiaotao³

Affiliation:

1. Department of Criminal Investigation, People’s Public Security University of China, Beijing, China

2. Public Security Behavioral Science Lab, People’s Public Security University of China, Beijing, China

3. Public Security Bureau of Jinan, Shandong, China

Funder

the People’s Public Security University of China Criminal Science and Technology double first-class program

Publisher

Informa UK Limited

Subject

Electrochemistry,Biochemistry (medical),Clinical Biochemistry,Spectroscopy,Biochemistry,Analytical Chemistry

Link

https://www.tandfonline.com/doi/pdf/10.1080/00032719.2023.2289185

Reference24 articles.

1. Digital forensics: Review of issues in scientific validation of digital evidence;Arshed H.;Journal of Information Processing Systems,2018

2. Introducing Doolittle multivariate calibration algorithm for infrared spectrometric determination of STTP, SS, and SC in Iranian washing powder

3. Multi-features extraction based on deep learning for skin lesion classification

4. Deep learning computer vision for the separation of Cast- and Wrought-Aluminum scrap

5. Deep learning analysis for energy consumption of shield tunneling machine drive system

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