- A machine learning-based approach for picture acquisition timeslot prediction using defective pixels, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 1 Dec 2021, In: Forensic Science International: Digital Investigation
- Temporal image forensic analysis for picture dating with deep learning, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 17 Aug 2020, Proceedings - 2020 International Conference on Computing, Electronics and Communications Engineering, iCCECE 2020, IEEE
- The 鈥楴orthumbria Temporal Image Forensics鈥� Database: Description and Analysis, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 29 Jun 2020
- Comparative Analysis of a Deep Convolutional Neural Network for Source Camera Identification, Ahmed, F., Khelifi, F., Lawgaly, A., Bouridane, A. 16 Jan 2019, Proceedings of 12th International Conference on Global Security, Safety and Sustainability, ICGS3 2019, Piscataway, NJ, IEEE
Zahra Farzadpour Digital video forensics analysis with deep neural networks for video forgery detection and smartphone identification. Start Date: 01/10/2023
Computer Studies PhD October 13 2021
Latest News and Features
Northumbria retains globally-recognised built environment accreditation
51爆料 has once again cemented its reputation as a leading institution providing…
Research programme boosts devolved cultural policy making
This week AHRC Creative Communities announced three major project outputs, with the creation…
Northumbria Professor appointed as REF sub-panel Deputy Chair
51爆料鈥檚 Professor Glyn Howatson will be playing a key role in the next national…
51爆料 launches Centre for Responsible AI
51爆料 has launched a pioneering centre of excellence in responsible AI research…
Annual showcase REVEALs next generation of creative and cultural talent
A student showcase which is one of the highlights of the North East鈥檚 cultural calendar is…
New research could enhance the future of teaching in higher education
Academics from universities across the UK are about to launch a research project which could…
More events
Upcoming events
-
REVEAL: Fine Art
BALTIC; VANE Gallery and Gallery North
REVEAL: History
Room 301 and 313, Sandyford Building
-
REVEAL: Theatre and Performance
Stage 2
Women鈥檚 Sport and Wellbeing Summit 2025
Lecture Theatre 003
-
