A research project on a tool for annotating biometric data and a forensic expert’s workflow
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Updated
Jun 26, 2026 - TypeScript
A research project on a tool for annotating biometric data and a forensic expert’s workflow
BLOOD GROUP DETECTION USING FINGERPRINT Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials
Likelihood ratio to evaluate handwriting evidence using similarity index
A backend API for a deep learning system that provides endpoints to analyze Chrysomya megacephala specimens in images for Post-Mortem Interval (PMI) estimation.
Forensically useful mid-term and short-term temperature reconstruction for quasi-indoor death scenes
Improving accuracy of age estimates for insect evidence—calibration of physiological age at emergence (k) using insect size but without “k versus size” model
Interactive 3D forensic face approximation from skull measurements, using real tissue depth data and RBF interpolation. Built with Python, SciPy, and Plotly Dash.
Competition, cooperation, and parental effects in larval aggregations formed on carrion by communally breeding beetles Necrodes littoralis (Staphylinidae: Silphinae)
ForenScope is an advanced, high-performance forensic analysis tool designed for modern incident response. It leverages a unique hybrid architecture: Python for intelligent orchestration and parsing, and Go for high-speed raw data processing.
A new way to calculate thermal summation constants for forensically useful insects using fuzzy regression
Benchmarking forensic ancestry inference using AIM SNPs, machine learning and 1000 Genomes validation.
Interval Estimation of Thermal Summation Parameters in Forensically Important Insects
The optimal post-eclosion interval while estimating the post-mortem interval based on an empty puparium
The place, where everything started.
An open, domain-general engine for forensic surface comparison: calibrated likelihood ratios (not black-box matches) from X3P 3-D scans of bullets, cartridge cases, and toolmarks.
A web application for a deep learning system that analyzes Chrysomya megacephala specimens in images to assist in forensic Post-Mortem Interval (PMI) estimation.
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