Zobrazeno 1 - 10 of 374 pro vyhledávání: '"Mo. Jamshidi"'
1
Akademický článek
Application of Sentinel-1 SAR Data for Detecting a Nuclear Test Location in North Korea
Autor: Asset A. Akhmadiya, Khuralay Moldamurat, Mo Jamshidi, Saule Brimzhanova, Nabi Nabiyev, Aigerim Kismanova
Publikováno v: Canadian Journal of Remote Sensing, Vol 48, Iss 2, Pp 327-335 (2022)
Sentinel-1 C-band radar data were applied for the first time to determine a nuclear test, its underground H-bomb explosion location and the affected zone in North Korea on September 3, 2017. The nuclear test location was found according to line-of-si
Externí odkaz: https://doaj.org/article/110348155eaf4b20b1b0c97b4907da10
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2
Akademický článek
Feature Fusion Models for Deep Autoencoders: Application to Traffic Flow Prediction
Autor: Arezu Moussavi-Khalkhali, Mo Jamshidi
Publikováno v: Applied Artificial Intelligence, Vol 33, Iss 13, Pp 1179-1198 (2019)
Due to reduction in dimensionality and extraction of the definitive features of input data, deep architectures have achieved significant success in various machine learning applications. Considering their successful applications in speech recognition
Externí odkaz: https://doaj.org/article/813c9d52299f4869a6acef4955b23c9c
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4
Akademický článek
A Fault Diagnosis Design Based on Deep Learning Approach for Electric Vehicle Applications
Autor: Halid Kaplan, Kambiz Tehrani, Mo Jamshidi
Publikováno v: Energies, Vol 14, Iss 20, p 6599 (2021)
Diagnosing faults in electric vehicles (EVs) is a great challenge. The purpose of this paper is to demonstrate the detection of faults in an electromechanical conversion chain for conventional or autonomous EVs. The information and data coming from d
Externí odkaz: https://doaj.org/article/788198ac58d0443ab50dbf26f15ebf87
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5
FLC-ROS: A generic and configurable ROS package for developing fuzzy logic controllers1
Autor: Ali Karimoddini, Abel Hailemichael, Mo Jamshidi
Publikováno v: Journal of Intelligent & Fuzzy Systems. 42:4891-4906
Fuzzy logic controllers can handle complex systems by incorporating expert’s knowledge in the absence of formal mathematical models. Further, fuzzy logic controllers can effectively capture and accommodate uncertainties that are inherent in real-wo
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c4637500bdfeb5afacefbd2f06eca866
https://doi.org/10.3233/jifs-210341
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6
Akademický článek
Survey of Datafusion Techniques for Laser and Vision Based Sensor Integration for Autonomous Navigation
Autor: Prasanna Kolar, Patrick Benavidez, Mo Jamshidi
Publikováno v: Sensors, Vol 20, Iss 8, p 2180 (2020)
This paper focuses on data fusion, which is fundamental to one of the most important modules in any autonomous system: perception. Over the past decade, there has been a surge in the usage of smart/autonomous mobility systems. Such systems can be use
Externí odkaz: https://doaj.org/article/9830358a26354d248109a1995d640cbb
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