A Decentralized ComBat Algorithm and Applications to Functional Network Connectivity

Autor: Biozid Bostami, Frank G. Hillary, Harm Jan van der Horn, Joukje van der Naalt, Vince D. Calhoun, Victor M. Vergara

Publikováno v: Frontiers in Neurology, Vol 13 (2022)

Recent studies showed that working with neuroimage data collected from different research facilities or locations may incur additional source dependency, affecting the overall statistical power. This problem can be mitigated with data harmonization a

Externí odkaz: https://doaj.org/article/22b0b569bae6402aa5350d379237265d

Multi-Site Mild Traumatic Brain Injury Classification with Machine Learning and Harmonization

Autor: Biozid Bostami, Flor A. Espinoza, Harm J. van der Horn, Joukje van der Naalt, Vince D. Calhoun, Victor M. Vergara

Publikováno v: 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022, 537-540
STARTPAGE=537;ENDPAGE=540;TITLE=44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2022

Traumatic brain injury (TBI) can drastically affect an individual's cognition, physical, emotional wellbeing, and behavior. Even patients with mild TBI (mTBI) may suffer from a variety of long-lasting symptoms, which motivates researchers to find bet

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33afa256d36f7899d71592e9d36d8548
https://research.rug.nl/en/publications/7d1e5ff3-4a85-4c6d-a1c5-0690489dffdc

Deep Learning Meets Malware Detection: An Investigation

Autor: Biozid Bostami, Mohiuddin Ahmed

Publikováno v: Advanced Sciences and Technologies for Security Applications ISBN: 9783030356415

From the dawn of computer programs, malware programs were originated and still with us. With evolving of technology, malware programs are also evolving. It is considered as one of the prime issues regarding cyber world security. Damage caused by the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f946c29c9a4f1a3f8fae1b5cbef003c4
https://doi.org/10.1007/978-3-030-35642-2_7

False Data Injection Attacks in Internet of Things

Autor: Salimur Choudhury, Mohiuddin Ahmed, Biozid Bostami

Publikováno v: Performability in Internet of Things ISBN: 9783319935560

Internet of Things (IoT) facilitates networking among different types of electronic devices. The emerging false data injection attacks (FDIAs) have drawn attention and heavily researched in power systems and smart grid. The cyber criminals compromise

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3c21d618533fe85d9b81cd2203f2535f
https://doi.org/10.1007/978-3-319-93557-7_4