AIMC Topic: Forensic Sciences

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Multi-omics integration strategy in the post-mortem interval of forensic science.

Talanta
Estimates of post-mortem interval (PMI), which often serve as pivotal evidence in forensic contexts, are fundamentally based on assessments of variability among diverse molecular markers (including proteins and metabolites), their correlations, and t...

Mapping AI-ethics' dilemmas in forensic case work: To trust AI or not?

Forensic science international
In this paper I discuss the challenges and ethical considerations surrounding the use of Artificial Intelligence (AI) in forensic science, particularly in criminal cases, and I emphasize the need for a comprehensive definition of AI systems within th...

ChatGPT: Forensic, legal, and ethical issues.

Medicine, science, and the law
Artificial intelligence (AI) refers to a group of technologies that enable people to perform a variety of activities, including observing, comprehending, analysing and translating data, among other things. Nowadays, practically every school of though...

A forensic evaluation method for DeepFake detection using DCNN-based facial similarity scores.

Forensic science international
Detecting DeepFake videos has become a central task in modern multimedia forensics applications. This article presents a method to detect face swapped videos when the portrayed person in the video is known. We propose using a threshold classifier bas...

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

Forensic science international
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...

PIXE based, Machine-Learning (PIXEL) supported workflow for glass fragments classification.

Talanta
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 ...

The RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosis.

Sensors (Basel, Switzerland)
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 ...

Assessment and Estimation of Face Detection Performance Based on Deep Learning for Forensic Applications.

Sensors (Basel, Switzerland)
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 ...

Social media forensics applied to assessment of post-critical incident social reaction: The case of the 2017 Manchester Arena terrorist attack.

Forensic science international
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...

Likelihood Ratios for Deep Neural Networks in Face Comparison.

Journal of forensic sciences
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...