Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Mahdi Aliyari Shoorehdeli"'
Publikováno v:
IET Collaborative Intelligent Manufacturing, Vol 6, Iss 3, Pp n/a-n/a (2024)
Abstract In industrial and real‐world systems, recognising errors and adopting the best approaches are gaining relevance. The authors’ goal is to identify artificial intelligence apps that provide the most reliable and valuable data‐based fault
Externí odkaz:
https://doaj.org/article/22a544bafc124b0cb64304799a056ef4
Publikováno v:
IET Collaborative Intelligent Manufacturing, Vol 5, Iss 3, Pp n/a-n/a (2023)
Abstract In modern industrial systems, diagnosing faults in time and using the best methods becomes increasingly crucial. It is possible to fail a system or to waste resources if faults are not detected or are detected late. Machine learning and deep
Externí odkaz:
https://doaj.org/article/b94f8b7dbb0d439fab06af0c3bbb9eb3
Publikováno v:
Basic and Clinical Neuroscience, Vol 13, Iss 5, Pp 731-744 (2022)
Introduction: Natural rewards are essential for survival. However, drug-seeking behaviors can be maladaptive and endanger survival. The present study was conducted to enhance our understanding of how animals respond to food and morphine as natural an
Externí odkaz:
https://doaj.org/article/0eca46129be84ce7841b0ff54a41c9b2
Publikováno v:
هوش محاسباتی در مهندسی برق, Vol 13, Iss 2, Pp 1-14 (2022)
Permanent Magnets (PM), which are one of the most vulnerable and important components of permanent magnet machines, are at risk of demagnetization for reasons such as overheating and corrosion. One of the most critical tasks of engineers in the indus
Externí odkaz:
https://doaj.org/article/8bce6becd7374a57b11672397192c105
Publikováno v:
مجله مدل سازی در مهندسی, Vol 20, Iss 68, Pp 85-100 (2022)
The stability of the training process in the identification of nonlinear systems is one of the foremost issues in control research. This paper studies the training stability of an interval type 2 adaptive neuro-fuzzy Inference system (IT2ANFIS) as an
Externí odkaz:
https://doaj.org/article/6139653d2a854712ba5dbab4b247a361
Autor:
Sahar Hojjatinia, Mahdi Aliyari Shoorehdeli, Zahra Fatahi, Zeinab Hojjatinia, Abbas Haghparast
Publikováno v:
Basic and Clinical Neuroscience, Vol 11, Iss 1, Pp 79-90 (2020)
Introduction: Identifying the potential firing patterns following different brain regions under normal and abnormal conditions increases our understanding of events at the level of neural interactions in the brain. Furthermore, it is important to be
Externí odkaz:
https://doaj.org/article/d6b18dd235644015a40c086ef2da7542
Autor:
Marzieh Hosseini, Anna Kaasinen, Mahdi Aliyari Shoorehdeli, Guido Link, Timo Lähivaara, Marko Vauhkonen
Publikováno v:
Sensors, Vol 21, Iss 21, p 7170 (2021)
The microwave drying process has a wide application in industry, including drying polymer foams after the impregnation process for sealings in the construction industry. The objective of the drying process is to reach a certain moisture in the foam b
Externí odkaz:
https://doaj.org/article/80f3caad7ef547c6b747a950bee4cb77
Publikováno v:
Remote Sensing, Vol 7, Iss 7, Pp 8271-8299 (2015)
The growing availability of high-resolution satellite imagery provides an opportunity for identifying road objects. Most studies associated with road detection are scene-related and also based on the digital number of each pixel. Because images can p
Externí odkaz:
https://doaj.org/article/70ec7ace3991496ea88ca2168eaedec2
Autor:
Vahid Seydi Ghomsheh, Mohamad Teshnehlab, Mahdi Aliyari Shoorehdeli, Mojaba Ahmadieh Khanesar
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 7, Iss 5 (2014)
This study presents the normative knowledge source for the belief space of cultural algorithm(CA) based on an adaptive Radial Basis Function Neural Network (RBFNN). The use of the RBFNN makes it possible to use the previous upper and lower bounds of
Externí odkaz:
https://doaj.org/article/9040d98d17904b428f7ae67136494dfc
Autor:
Vahid Seydi Ghomsheh, Mohamad Teshnehlab, Mahdi Aliyari Shoorehdeli, Mojtaba Ahmadieh Khanesar
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 7, Iss 5 (2014)
Externí odkaz:
https://doaj.org/article/5d31f95b92b540fb97b89182dfac8a47