AIMC Topic: Forensic Sciences

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Automatic sex estimation using deep convolutional neural network based on orthopantomogram images.

Forensic science international Apr 20, 2023
Sex estimation is very important in forensic applications as part of individual identification. Morphological sex estimation methods predominantly focus on anatomical measurements. Based on the close relationship between sex chromosome genes and faci...
Humans Neural Networks, Computer China Forensic Medicine Forensic Sciences Artificial Intelligence Adult
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PIXE based, Machine-Learning (PIXEL) supported workflow for glass fragments classification.

Talanta Jun 24, 2021
This paper presents a structured workflow for glass fragment analysis based on a combination of Elemental Analysis using PIXE and Machine Learning tools, with the ultimate goal of standardizing and helping forensic efforts. The proposed workflow was ...
Forensic Sciences Machine Learning Glass Workflow
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The RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosis.

Sensors (Basel, Switzerland) Nov 20, 2020
The RoScan is a novel, high-accuracy multispectral surface scanning system producing colored 3D models that include a thermal layer. (1) Background: at present, medicine still exhibits a lack of objective diagnostic methods. As many diseases involve ...
Humans Forensic Sciences Pain Measurement Imaging, Three-Dimensional Thermography Robotics Dermatitis, Atopic
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Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications.

Sensors (Basel, Switzerland) Aug 11, 2020
Face recognition is a valuable forensic tool for criminal investigators since it certainly helps in identifying individuals in scenarios of criminal activity like fugitives or child sexual abuse. It is, however, a very challenging task as it must be ...
Humans Deep Learning Forensic Sciences Child Face
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Social media forensics applied to assessment of post-critical incident social reaction: The case of the 2017 Manchester Arena terrorist attack.

Forensic science international Jun 13, 2020
Forensic science is constantly evolving and transforming, reflecting the numerous technological innovations of recent decades. There are, however, continuing issues with the use of digital data, such as the difficulty of handling large-scale collecti...
Forensic Sciences Terrorism Social Media Natural Language Processing Data Mining United Kingdom Humans Machine Learning
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Likelihood Ratios for Deep Neural Networks in Face Comparison.

Journal of forensic sciences May 12, 2020
In this study, we aim to compare the performance of systems and forensic facial comparison experts in terms of likelihood ratio computation to assess the potential of the machine to support the human expert in the courtroom. In forensics, transparenc...
Software Sensitivity and Specificity Models, Statistical Automated Facial Recognition Humans Forensic Sciences Neural Networks, Computer Likelihood Functions
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Characteristic analysis and fuzzy simulation of falls-from-height mechanics, and case studies.

Forensic science international Apr 7, 2020
In this paper, methods for scientifically inferring the causes of the falls-from-height accidents, that is, the initial fall postures, and reconstructing the fall accident are presented. For this purpose, the general types of fall were subdivided int...
Posture Forensic Sciences Reproducibility of Results Biomechanical Phenomena Accidental Falls Fuzzy Logic Humans Computer Simulation
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Identification of the Species Constituents of Maggot Populations Feeding on Decomposing Remains-Facilitation of the Determination of Post Mortem Interval and Time Since Tissue Infestation through Application of Machine Learning and Direct Analysis in Real Time-Mass Spectrometry.

Analytical chemistry Mar 12, 2020
The utilization of entomological specimens such as larvae (maggots) for the estimation of time since oviposition (i.e., egg laying) for post mortem interval determination, or for estimation of time since tissue infestation (in investigations of elder...
Forensic Sciences Oviposition Machine Learning Mass Spectrometry Animals Larva Insecta Time Factors
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Election forensics: Using machine learning and synthetic data for possible election anomaly detection.

PloS one Oct 31, 2019
Assuring election integrity is essential for the legitimacy of elected representative democratic government. Until recently, other than in-person election observation, there have been few quantitative methods for determining the integrity of a democr...
Machine Learning Forensic Sciences Risk Democracy
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Machine learning & forensic science.

Forensic science international Mar 13, 2019
Big Data Humans Forensic Sciences Data Analysis Machine Learning Algorithms
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