Zobrazeno 1 - 10
of 424
pro vyhledávání: '"Chowdhury, Mashrur A."'
Autor:
Majumder, Reek, Comert, Gurcan, Werth, David, Gale, Adrian, Chowdhury, Mashrur, Salek, M Sabbir
The network of services, including delivery, farming, and environmental monitoring, has experienced exponential expansion in the past decade with Unmanned Aerial Vehicles (UAVs). Yet, UAVs are not robust enough against cyberattacks, especially on the
Externí odkaz:
http://arxiv.org/abs/2412.02539
Autor:
Mamun, Abdullah Al, Enan, Abyad, Indah, Debbie A., Mwakalonge, Judith, Comert, Gurcan, Chowdhury, Mashrur
This study investigates crash severity risk modeling strategies for work zones involving large vehicles (i.e., trucks, buses, and vans) when there are crash data imbalance between low-severity (LS) and high-severity (HS) crashes. We utilized crash da
Externí odkaz:
http://arxiv.org/abs/2412.02094
The rise of quantum computing threatens traditional cryptographic algorithms that secure Transportation Cyber-Physical Systems (TCPS). Shor's algorithm poses a significant threat to RSA and ECC, while Grover's algorithm reduces the security of symmet
Externí odkaz:
http://arxiv.org/abs/2411.13023
Autor:
Puspa, Sefatun-Noor, Enan, Abyad, Majumdar, Reek, Salek, M Sabbir, Comert, Gurcan, Chowdhury, Mashrur
Cyber-physical systems rely on sensors, communication, and computing, all powered by integrated circuits (ICs). ICs are largely susceptible to various hardware attacks with malicious intents. One of the stealthiest threats is the insertion of a hardw
Externí odkaz:
http://arxiv.org/abs/2411.12721
The perception module in autonomous vehicles (AVs) relies heavily on deep learning-based models to detect and identify various objects in their surrounding environment. An AV traffic sign classification system is integral to this module, which helps
Externí odkaz:
http://arxiv.org/abs/2409.17311
Driven by the significant advantages offered by quantum computing, research in quantum machine learning has increased in recent years. While quantum speed-up has been demonstrated in some applications of quantum machine learning, a comprehensive unde
Externí odkaz:
http://arxiv.org/abs/2404.05901
Autor:
Salek, M Sabbir, Thakur, Mugdha Basu, Ala, Pardha Sai Krishna, Chowdhury, Mashrur, Schmid, Matthias, Murray-Tuite, Pamela, Khan, Sakib Mahmud, Krovi, Venkat
Automated vehicle (AV) platooning has the potential to improve the safety, operational, and energy efficiency of surface transportation systems by limiting or eliminating human involvement in the driving tasks. The theoretical validity of the AV plat
Externí odkaz:
http://arxiv.org/abs/2403.05415
Autor:
Deng, Hsien-Wen, Salek, M Sabbir, Rahman, Mizanur, Chowdhury, Mashrur, Shue, Mitch, Apon, Amy W.
In this study, we developed a real-time connected vehicle (CV) speed advisory application that uses public cloud services and tested it on a simulated signalized corridor for different roadway traffic conditions. First, we developed a scalable server
Externí odkaz:
http://arxiv.org/abs/2401.16545
This study developed a generative adversarial network (GAN)-based defense method for traffic sign classification in an autonomous vehicle (AV), referred to as the attack-resilient GAN (AR-GAN). The novelty of the AR-GAN lies in (i) assuming zero know
Externí odkaz:
http://arxiv.org/abs/2401.14232
Autor:
Majumder, Reek, Pollard, Jacquan, Salek, M Sabbir, Werth, David, Comert, Gurcan, Gale, Adrian, Khan, Sakib Mahmud, Darko, Samuel, Chowdhury, Mashrur
The environmental impacts of global warming driven by methane (CH4) emissions have catalyzed significant research initiatives in developing novel technologies that enable proactive and rapid detection of CH4. Several data-driven machine learning (ML)
Externí odkaz:
http://arxiv.org/abs/2312.10879