Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Ehsan Javanmardi"'
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 1124-1138 (2024)
Standalone autonomous vehicles primarily rely on their onboard sensors and may have blind spots or limited situational awareness in complex or dynamic traffic scenarios, leading to difficulties in making safe decisions. Collective perception enables
Externí odkaz:
https://doaj.org/article/971d1911b5b44220aef40c3507bfb39c
Publikováno v:
Heliyon, Vol 10, Iss 4, Pp e25962- (2024)
The medical devices, biotechnology, and healthcare industries are closely tied to innovation, with companies relying on research and development and new product introduction. However, innovation activities like research and development can be costly,
Externí odkaz:
https://doaj.org/article/11f52ebc9abe464e95b19c41273ab8b1
Autor:
Ye Tao, Ehsan Javanmardi, Pengfei Lin, Jin Nakazato, Yuze Jiang, Manabu Tsukada, Hiroshi Esaki
Publikováno v:
IEEE Access, Vol 11, Pp 142846-142861 (2023)
Cooperative perception is crucial for connected automated vehicles in intelligent transportation systems (ITSs); however, ensuring the authenticity of perception data remains a challenge as the vehicles cannot verify events that they do not witness i
Externí odkaz:
https://doaj.org/article/c3f1b8bab438461abd6edee4d54ed6f9
Autor:
Muhammad Asad, Saima Shaukat, Dou Hu, Zekun Wang, Ehsan Javanmardi, Jin Nakazato, Manabu Tsukada
Publikováno v:
Sensors, Vol 23, Iss 17, p 7358 (2023)
This paper explores the potential for communication-efficient federated learning (FL) in modern distributed systems. FL is an emerging distributed machine learning technique that allows for the distributed training of a single machine learning model
Externí odkaz:
https://doaj.org/article/53981c7ddba34b4b979f4302ed1204e7
Publikováno v:
International Journal of Automotive Engineering, Vol 12, Iss 4, Pp 125-133 (2021)
Understanding the level of environmental risk using vehicle-mounted camera traffic scenes is useful in advanced driver assistance systems (ADAS) to improve vehicle safety. We propose a fast, memory-efficient computer vision based environmental risk p
Externí odkaz:
https://doaj.org/article/1d3db9f5c7924d349ba73c5c33a34b7f
Publikováno v:
World Electric Vehicle Journal, Vol 14, Iss 5, p 120 (2023)
Electric vehicles are an important part of governments’ environmental policies, and therefore understanding the factors affecting their market share is very important. So, this research is designed to investigate the factors affecting electric vehi
Externí odkaz:
https://doaj.org/article/88a41f168a734324a4281ec426b3b005
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6201 (2023)
Big data is a rapidly growing field, and new developments are constantly emerging to address various challenges. One such development is the use of federated learning for recommendation systems (FRSs). An FRS provides a way to protect user privacy by
Externí odkaz:
https://doaj.org/article/48e1e5d34077405c94149054f62082d4
Publikováno v:
Systems, Vol 11, Iss 2, p 70 (2023)
Today’s challenges to sustainability are explored through a complex combination of interdisciplinary topics that explore various interactions between economic, social, and environmental systems that further contribute to existing uncertainties. Sol
Externí odkaz:
https://doaj.org/article/c0905f7433a04eef9d31323223c0619f
Autor:
Petra Maresova, Ehsan Javanmardi, Sabina Barakovic, Jasmina Barakovic Husic, Signe Tomsone, Ondrej Krejcar, Kamil Kuca
Publikováno v:
BMC Public Health, Vol 19, Iss 1, Pp 1-17 (2019)
Abstract Background The phenomenon of the increasing number of ageing people in the world is arguably the most significant economic, health and social challenge that we face today. Additionally, one of the major epidemiologic trends of current times
Externí odkaz:
https://doaj.org/article/860ab6e2b77345fe9baba463264be41d
Publikováno v:
IATSS Research, Vol 43, Iss 1, Pp 1-13 (2019)
Accurate vehicle self-localization is significant for autonomous driving. The localization techniques based on Global Navigation Satellite System (GNSS) cannot achieve the required accuracy in urban canyons. On the other hand, simultaneous localizati
Externí odkaz:
https://doaj.org/article/51c627634e5f4356ba4321d2633311fb