AIMC Topic: Forensic Sciences

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Integrating microbial profiling and machine learning for inference of drowning sites: a forensic investigation in the Northwest River.

Microbiology spectrum
Drowning incidents present significant challenges for forensic investigators in determining the exact site of occurrence. Traditional forensic methods often rely on physical evidence and circumstantial clues, but the emerging field of forensic microb...

A first step towards a machine learning-based framework for bloodstain classification in forensic science.

Forensic science international
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...

Classification of 3D shoe prints using the PointNet architecture: proof of concept investigation of binary classification of nike and adidas outsoles.

Forensic science, medicine, and pathology
Shoe prints are one of the most common types of evidence found at crime scenes, second only to fingerprints. However, studies involving modern approaches such as machine learning and deep learning for the detection and analysis of shoe prints are qui...

Discrimination of coal geographical origins through HS-GC-IMS assisted with machine learning algorithms in larceny case.

Journal of chromatography. A
The process of globalization and industrialization has resulted in a rise in the theft of coal and other related products, thereby becoming a focal point for forensic science. This situation has engendered an escalated demand for effective detection ...

On the advantages of using AI-generated images of filler faces for creating fair lineups.

Scientific reports
Recent advances in artificial intelligence (AI) enable the generation of realistic facial images that can be used in police lineups. The use of AI image generation offers pragmatic advantages in that it allows practitioners to generate filler images ...

A robust self-supervised image hashing method for content identification with forensic detection of content-preserving manipulations.

Neural networks : the official journal of the International Neural Network Society
Image content identification systems have many applications in industry and academia. In particular, a hash-based content identification system uses a robust image hashing function that computes a short binary identifier summarizing the perceptual co...

Prescription eyeglasses as a forensic physical evidence: Prediction of age based on refractive error measures using machine learning algorithm.

Journal of forensic sciences
Refractive errors (RE) are commonly reported visual impairment problems worldwide. Previous clinical studies demonstrated age-related changes in human eyes. We hypothesized that the binocular RE metrics including sphere and cylinder power, axis orien...

Closing remarks on "The integration and implications of artificial intelligence in forensic science".

Forensic science, medicine, and pathology
This commentary examines the use of artificial intelligence (AI) in forensic science, highlighting its benefits in enhancing accuracy and efficiency across a number of forensic disciplines, including medicine, anthropology, forensics, and taphonomy. ...

The integration and implications of artificial intelligence in forensic science.

Forensic science, medicine, and pathology
This commentary explores the integration of artificial intelligence (AI) in forensic science and its potential implications. The applications of AI in forensic disciplines such as medicine, forensic anthropology, digital forensics, and taphonomy have...