Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Fatemeh Golpayegani"'
Publikováno v:
IEEE Access, Vol 12, Pp 74558-74571 (2024)
Workload orchestration at the edge of the network has become increasingly challenging with the ever-increasing penetration of resource demanding mobile, and heterogeneous devices offering low latency services. Literature has addressed this challenge
Externí odkaz:
https://doaj.org/article/5c4e23e499f34f3b9fc2e54707ab6f97
Autor:
Fatemeh Golpayegani, Maxime Gueriau, Pierre-Antoine Laharotte, Saeedeh Ghanadbashi, Jiaying Guo, Jack Geraghty, Shen Wang
Publikováno v:
IEEE Access, Vol 10, Pp 35302-35320 (2022)
Shared Mobility Systems (SMS) facilitate on-demand journeys using one or more transportation modes such as car-sharing, bike-sharing, or ride-sharing. As a result, SMS often face challenges such as finding suitable facility locations, efficient routi
Externí odkaz:
https://doaj.org/article/02a8a9ed14404de6955587730beea2d4
Autor:
Abdollah Malekjafarian, Chalres-Antoine Sarrabezolles, Muhammad Arslan Khan, Fatemeh Golpayegani
Publikováno v:
Sensors, Vol 23, Iss 17, p 7568 (2023)
In this paper, a novel railway track monitoring approach is proposed that employs acceleration responses measured on an in-service train to detect the loss of stiffness in the track sub-layers. An Artificial Neural Network (ANN) algorithm is develope
Externí odkaz:
https://doaj.org/article/683beebea4fe40b3a935a9380cd8df5f
Autor:
Alireza Saliminia, Fatemeh Golpayegani
Publikováno v:
Archives of Anesthesia and Critical Care, Vol 8, Iss 1 (2022)
Background: The occurrence of bleeding during major surgeries is common and requires timely and accurate management in the prevention and treatment of hypovolemia and hemodynamic instability during and after surgery. This study evaluated the correlat
Externí odkaz:
https://doaj.org/article/3ab7586956124f45bfe02ba471c2947e
Publikováno v:
Infrastructures, Vol 6, Iss 6, p 93 (2021)
This paper presents an innovative numerical framework for railway track monitoring using acceleration measurements from sensors installed on a passenger train. A numerical model including a 10 degrees of freedom train passing over a three-layer track
Externí odkaz:
https://doaj.org/article/903345c4fe1d46c3bdeacf7d48959332
A Machine Learning Approach to Bridge-Damage Detection Using Responses Measured on a Passing Vehicle
Publikováno v:
Sensors, Vol 19, Iss 18, p 4035 (2019)
This paper proposes a new two-stage machine learning approach for bridge damage detection using the responses measured on a passing vehicle. In the first stage, an artificial neural network (ANN) is trained using the vehicle responses measured from m
Externí odkaz:
https://doaj.org/article/b70a44b8f207456fa96f5287ce2aa2e0
Publikováno v:
Applied Intelligence. 52:11257-11272
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a23834181083bc6fd07d0ddf9bf4c07d
https://doi.org/10.1007/s10489-021-02887-1
https://doi.org/10.1007/s10489-021-02887-1
Publikováno v:
Journal of Reliable Intelligent Environments.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd8f94fb286cd0f3ef21554d52c446c9
https://doi.org/10.1007/s40860-022-00198-x
https://doi.org/10.1007/s40860-022-00198-x
Publikováno v:
Proceedings of the 15th International Conference on Agents and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1416c62f60fe8365bbedd12f4186669d
https://doi.org/10.5220/0011793200003393
https://doi.org/10.5220/0011793200003393
Publikováno v:
Proceedings of the 15th International Conference on Agents and Artificial Intelligence.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69b5deeeec23495acc1f56d24d2cf9b8
https://doi.org/10.5220/0011782500003393
https://doi.org/10.5220/0011782500003393