Výsledky vyhledávání - "Mehrdad Nojoumian"

Akademický článek

Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques

Autor: Fangming Qu, Nolan Dang, Borko Furht, Mehrdad Nojoumian

Publikováno v: Journal of Big Data, Vol 11, Iss 1, Pp 1-44 (2024)

Abstract The flourishing realm of advanced driver-assistance systems (ADAS) as well as autonomous vehicles (AVs) presents exceptional opportunities to enhance safe driving. An essential aspect of this transformation involves monitoring driver behavio

Externí odkaz: https://doaj.org/article/9de97d423e7d4be280850b0883ec8d1e

Zobrazit plný text záznamu

Akademický článek

Analysis of reputation-based mining paradigm under dishonest mining attacks

Autor: Pouya Pourtahmasbi, Mehrdad Nojoumian

Publikováno v: Blockchain: Research and Applications, Vol 3, Iss 2, Pp 100065- (2022)

Since the introduction of Bitcoin, numerous studies on Bitcoin mining attacks have been conducted, and as a result, many countermeasures to these attacks have been proposed. The reputation-based mining paradigm is a comprehensive countermeasure solut

Externí odkaz: https://doaj.org/article/3b1bf8dd62454f288363b3199b514219

Zobrazit plný text záznamu

Akademický článek

Localized State-Change Consensus in Immense and Highly Dynamic Environments

Autor: Linir Zamir, Mehrdad Nojoumian

Publikováno v: Cryptography, Vol 6, Iss 2, p 23 (2022)

Consensus algorithms are the building block of any decentralized network where the risk of malicious users is high. These algorithms are required to be robust, scalable, and secure in order to operate properly. Localized state-change consensus (LSC)

Externí odkaz: https://doaj.org/article/510ca2b4ebc94cf6aaee942128fda88c

Zobrazit plný text záznamu

Akademický článek

Sphinx: a Colluder-Resistant Trust Mechanism for Collaborative Intrusion Detection

Autor: Carlos Garcia Cordero, Giulia Traverso, Mehrdad Nojoumian, Sheikh Mahbub Habib, Max Muhlhauser, Johannes Buchmann, Emmanouil Vasilomanolakis

Publikováno v: IEEE Access, Vol 6, Pp 72427-72438 (2018)

The destructive effects of cyber-attacks demand more proactive security approaches. One such promising approach is the idea of collaborative intrusion detection systems (CIDSs). These systems combine the knowledge of multiple sensors (e.g., intrusion

Externí odkaz: https://doaj.org/article/ef99bbdc052c4a6d82bb62fcc4ee5e18

Zobrazit plný text záznamu

Akademický článek

Simulated robotic device malfunctions resembling malicious cyberattacks impact human perception of trust, satisfaction, and frustration

Autor: Moaed A Abd, Iker Gonzalez, Craig Ades, Mehrdad Nojoumian, Erik D Engeberg

Publikováno v: International Journal of Advanced Robotic Systems, Vol 16 (2019)

Robot assistants and wearable devices are highly useful; however, these artificial systems are susceptible to hackers. In this article, two sets of experiments were conducted. The first part of this study simulated a malicious attack on a prosthetic

Externí odkaz: https://doaj.org/article/295912c0235a4465b4b3df33d057af2e

Zobrazit plný text záznamu

Cross-Cultural Expectations from Self-Driving Cars

Autor: Steven Tolbert, Mehrdad Nojoumian

International adoption of autonomous vehicles has been in the center of attention in academia and industry. This paper therefore proposes to shed light on cross-cultural expectations of autonomous vehicles. We utilized a survey with 57 questions prep

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::896eee8ab65ac58b8f40570b72a95ebe
https://doi.org/10.21203/rs.3.rs-2432387/v1

Zobrazit plný text záznamu

Photo quality classification using deep learning

Autor: Arash Golchubian, Mehrdad Nojoumian, Oge Marques

Publikováno v: Multimedia Tools and Applications. 80:22193-22208

The detection of poor quality images for reasons such as focus, lighting, compression, and encoding is of great importance in the field of computer vision. The ability to quickly and automatically classify an image as poor quality creates opportuniti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bde248255b16bae356eb8d89d2deb601
https://doi.org/10.1007/s11042-021-10766-7

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání