Machine learning in digital forensics: a systematic literature review
T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …
complexity of digital crimes. On the other hand, the growing volume of data and …
[HTML][HTML] Towards a joint semantic analysis in mobile forensics environments
J Xi, M Siegel, D Labudde, M Spranger - Forensic Science International …, 2025 - Elsevier
In recent years, mobile devices have become the dominant communication medium in our
daily lives. This trend is also evident in the planning, arranging, and committing of criminal …
daily lives. This trend is also evident in the planning, arranging, and committing of criminal …
A Novel 2D Deep Convolutional Neural Network for Multimodal Document Categorization
R Abkrakhmanov, A Elubaeva… - International …, 2023 - search.proquest.com
Digitized documents are increasingly becoming prevalent in various industries. The ability to
accurately classify these documents is critical for efficient and effective management …
accurately classify these documents is critical for efficient and effective management …
[PDF][PDF] Multimodal Deep Neural Networks for Digitized Document Classification.
A Baimakhanova, A Zhumadillayeva… - … Systems Science & …, 2024 - cdn.techscience.cn
As digital technologies have advanced more rapidly, the number of paper documents
recently converted into a digital format has exponentially increased. To respond to the …
recently converted into a digital format has exponentially increased. To respond to the …
Arm movements recognition by implementing CNN on microcontrollers
S Qin, J Zhang, H Shen, Y Wang - 2021 9th international …, 2021 - ieeexplore.ieee.org
Surface electromyography is a technique mainly used to detect hand movements to help
patients regain control over their fingers or manipulate prosthetic arms. This body signal …
patients regain control over their fingers or manipulate prosthetic arms. This body signal …
A forensic approach: identification of source printer through deep learning
K Chugh, P Ahuja - International Journal of Electronic …, 2024 - inderscienceonline.com
Forensic document forgery investigations have elevated the need for source identification for
printed documents during the past few years. It is necessary to create a reliable and …
printed documents during the past few years. It is necessary to create a reliable and …
A Hybrid 2D-1D CNN for Scanner Device Linking Based on Scanning Noise
CB Rabah, G Coatrieux… - 2023 IEEE Symposium …, 2023 - ieeexplore.ieee.org
Ensuring the authenticity of scanned documents is of major concern, these ones being often
admitted as evidence by organizations.“Is there any way to verify that a document was …
admitted as evidence by organizations.“Is there any way to verify that a document was …
Analysis of scanned documents for integrity and authenticity checking
CB Rabah - 2021 - theses.hal.science
There is no universal method for detecting counterfeit images. Several techniques have
been proposed but each has its limits. Among these methods, the so-called" forensic digital …
been proposed but each has its limits. Among these methods, the so-called" forensic digital …