http://hdl.handle.net/10174/738 2026-04-05T21:11:34Z 2026-04-05T21:11:34Z Lamar-Leon, Javier Quaresma, Paulo Nogueira, Vitor http://hdl.handle.net/10174/38637 2025-06-17T09:32:17Z 2024-06-30T23:00:00Z

Title: Mobile Digital Forensics: Report Authors: Lamar-Leon, Javier; Quaresma, Paulo; Nogueira, Vitor Abstract: In today's digital age, mobile devices are essential to daily life, serving as primary tools for communication, information storage, and data exchange. With the widespread use of smartphones, there has been a significant rise in cybercrimes, increasing the demand for effective digital forensic tools and techniques to extract, analyze, and present evidence from these devices. Mobile device forensic tools are crucial for retrieving valuable information such as text messages, emails, social media chats, location data, photographs, and videos. These tools are utilized by law enforcement, digital forensic investigators, and corporate security professionals to investigate various crimes, including fraud, theft, child exploitation, and terrorism. The rapid evolution of mobile technology presents challenges for investigators, as traditional forensic techniques are often insufficient for modern smartphones and tablets. Specialized mobile device forensic tools have become necessary to keep pace with these advancements. The following list highlights the main forensic digital tools used in this field.

2024-06-30T23:00:00Z Lamar-Leon, Javier Quaresma, Paulo Nogueira, Vitor http://hdl.handle.net/10174/38636 2025-06-17T09:32:09Z 2024-09-30T23:00:00Z

Title: Plagiarism: Report Authors: Lamar-Leon, Javier; Quaresma, Paulo; Nogueira, Vitor Abstract: Plagiarism detection is essential for maintaining academic integrity, ensuring that scholarly works are original and properly cited. With the rise of online resources and AI writing tools, the risk of plagiarism has increased, making detection crucial in the academic process. Detection methods can be monolingual or cross-lingual and are classified as intrinsic or extrinsic, utilizing various techniques such as N-gram-based, vector-based, and semantic-based methods. The expansion of the internet and new detection tools like large language models have intensified the need for effective plagiarism detection. Academic institutions rely on these tools to ensure the originality of submissions, preserving the credibility of academic work.

2024-09-30T23:00:00Z Javier, Leon Pedro, Salgueiro http://hdl.handle.net/10174/35195 2023-05-18T09:59:54Z 2022-08-31T23:00:00Z

Title: Vision Documentation Authors: Javier, Leon; Pedro, Salgueiro Abstract: Documentation on how to the Vision supercomputer, including information on how to submit and manage jobs in the best possible way.

2022-08-31T23:00:00Z Leon, Javier http://hdl.handle.net/10174/31992 2022-05-03T14:40:33Z 2021-12-01T00:00:00Z

Title: VISTA Lab Évora University GPU-Cluster - Instructions to launch Jobs Authors: Leon, Javier Abstract: Two NVIDIA DGX™ A100 Stations are deployed in the HPC laboratory "VISTA Lab" in the Évora University. Universal system purpose-built for all AI infrastructure and workloads, from analytics to training to inference. Each station is built on eight NVIDIA A100 Tensor Core GPUs. Docker Containers platform is used to deploy the toolset for high-performance computing (HPC) in the Vista Lab.

2021-12-01T00:00:00Z