Abstract Purpose Baselining is a deception detection technique that compares a statement of interest to a baseline. This study focused on verbal baselining: it examined differences in detailedness between the baseline and the statement of interest as a cue to deception.
Glynis Bogaard +2 more
wiley +1 more source
Temporal Tampering Detection in Automotive Dashcam Videos via Multi-Feature Forensic Analysis and a 1D Convolutional Neural Network. [PDF]
Shinwari AR, Khairuddin UB, Haniff MFB.
europepmc +1 more source
IMAGE AND VIDEO FORENSICS FOR DETECTING FORGERY AND TEMPERED MEDIA
Raj Kewlani +3 more
openalex +1 more source
The deception group (DG) exhibited higher inter‐brain synchronization (IBS) before the interview in a theta band cluster and during the interview in an alpha band cluster, while displaying decreased heart rate synchrony (HRS) in the high frequency band compared to the non‐deception group (NDG).
Giorgio Veneziani +4 more
wiley +1 more source
Drone forensics redefined: Integrating live, digital, and non-digital evidence acquisition systems. [PDF]
Lee D, Kang W.
europepmc +1 more source
Deepfake defense: Combining spatial and temporal cues with CNN-BiLSTM-transformer architecture. [PDF]
Yadav S, Mangalampalli SS.
europepmc +1 more source
Tencent Meeting forensics based on memory reverse analysis. [PDF]
Yu S +6 more
europepmc +1 more source
Post Incident Analysis Framework for Automated Video Forensic Investigation
Abdullah AlShaikh, Mohamed Sedky
openalex +1 more source
Novel 59-layer dense inception network for robust deepfake identification. [PDF]
Alharbi A +8 more
europepmc +1 more source
Virtual dental autopsy: undertaking forensic dental identification remotely using an intra-oral video camera [PDF]
S. F. McDonald +2 more
openalex +1 more source

