AIMC Topic: Blood Stains

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Automated identification of impact spatters and fly spots with a residual neural network.

Forensic science international Dec 20, 2024
In criminal investigations, distinguishing between impact spatters and fly spots presents a challenge due to their morphological similarities. Traditional methods of bloodstain pattern analysis (BPA) rely significantly on the expertise of professiona...
Machine Learning Convolutional Neural Networks Humans Neural Networks, Computer Forensic Sciences Blood Stains Image Processing, Computer-Assisted Pattern Recognition, Automated
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A first step towards a machine learning-based framework for bloodstain classification in forensic science.

Forensic science international Oct 31, 2024
Bloodstains found at a crime scene can help estimate the events that occurred during the crime. Reconstructing the crime scene by analyzing the bloodstain pattern contributes to understanding the bloody event. Therefore, it is essential to classify b...
Machine Learning Deep Learning Forensic Sciences Blood Stains Humans
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Identification of Bloodstains by Species Using Extreme Learning Machine and Hyperspectral Imaging Technology.

Applied spectroscopy Jun 17, 2024
How to identify bloodstains and obtain some potential evidence is of great significance for solving criminal cases. First, the spectral data of different species of bloodstain samples (human blood and animal blood) were acquired by using a hyperspect...
Humans Animals Support Vector Machine Machine Learning Algorithms Blood Stains Hyperspectral Imaging
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Discrimination of human and animal bloodstains using hyperspectral imaging.

Forensic science, medicine, and pathology Sep 18, 2023
Blood is the most encountered type of biological evidence in violent crimes and contains pertinent information to a forensic investigation. The false presumption that blood encountered at a crime scene is human may not be realised until after costly ...
Blood Stains Forensic Medicine Hyperspectral Imaging Mice Rats Support Vector Machine Rabbits Swine Cattle Animals Humans
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Blood Stain Classification with Hyperspectral Imaging and Deep Neural Networks.

Sensors (Basel, Switzerland) Nov 21, 2020
In recent years, growing interest in deep learning neural networks has raised a question on how they can be used for effective processing of high-dimensional datasets produced by hyperspectral imaging (HSI). HSI, traditionally viewed as being within ...
Forensic Medicine Blood Stains Neural Networks, Computer Hyperspectral Imaging Humans Support Vector Machine
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Age estimation using bloodstain miRNAs based on massive parallel sequencing and machine learning: A pilot study.

Forensic science international. Genetics Apr 22, 2020
Age estimation is one of the most important components in the practice of forensic science, especially for body fluids or stains at crime scenes. Recent studies have focused on the application of DNA methylation for chronological age determination in...
MicroRNAs Female Ethnicity Aged High-Throughput Nucleotide Sequencing Algorithms Blood Stains Polymerase Chain Reaction Humans Middle Aged Gene Expression Profiling Young Adult Male Machine Learning Pilot Projects Adult Aging
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Bloodstain pattern analysis as optimisation problem.

Forensic science international Jun 24, 2016
Bloodstain pattern analysis (BPA) is an approach to support forensic investigators in reconstructing the dynamics of bloody crimes. This forensic technique has been successfully applied in solving heinous and complex murder cases around the world and...
Forensic Sciences Humans Neural Networks, Computer Blood Stains Algorithms
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