AIMC Topic: Forensic Sciences

Clear Filters Showing 41 to 46 of 46 articles

Classification of teeth in cone-beam CT using deep convolutional neural network.

Computers in biology and medicine
Dental records play an important role in forensic identification. To this end, postmortem dental findings and teeth conditions are recorded in a dental chart and compared with those of antemortem records. However, most dentists are inexperienced at r...

Bloodstain pattern analysis as optimisation problem.

Forensic science international
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...

Temporal evolution stages classification and aging time prediction of gel-pen ink using GC-IMS combined with machine learning for forensic science applications.

Journal of chromatography. A
Determining the temporal evolution of inks remains a critical challenge in forensic document analysis. The temporal evolution stages classification and aging time prediction of gel-pen ink were investigated by integrating gas chromatography-ion mobil...

Visualization Analysis of Artificial Intelligence Literature in Forensic Research.

Fa yi xue za zhi
OBJECTIVES: To analyze the literature on artificial intelligence in forensic research from 2012 to 2022 in the Web of Science Core Collection Database, to explore research hotspots and developmental trends.

Visualization of Literature Information on Postmortem Interval Estimation Indexed by CNKI Database from 1990 to 2020.

Fa yi xue za zhi
OBJECTIVES: To explore the development process of the postmortem interval (PMI) research in China from January 1990 to August 2020, research hotspots in different periods, authors and cooperation between institutions, and to provide a reference for t...

Deepfake detection by human crowds, machines, and machine-informed crowds.

Proceedings of the National Academy of Sciences of the United States of America
The recent emergence of machine-manipulated media raises an important societal question: How can we know whether a video that we watch is real or fake? In two online studies with 15,016 participants, we present authentic videos and deepfakes and ask ...