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ORCIDFardad Farokhi
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Journal Articles
- 2023
[j4]Mohammad Reza Falahzadeh, Fardad Farokhi
, Ali Harimi, Reza Sabbaghi-Nadooshan:
Deep Convolutional Neural Network and Gray Wolf Optimization Algorithm for Speech Emotion Recognition. Circuits Syst. Signal Process. 42(1): 449-492 (2023)- [j3]Mohammad Reza Falahzadeh, Fardad Farokhi, Ali Harimi, Reza Sabbaghi-Nadooshan:
A 3D Tensor Representation of Speech and 3D Convolutional Neural Network for Emotion Recognition. Circuits Syst. Signal Process. 42(7): 4271-4291 (2023) - 2020
- [j2]Maryam Baghizadeh, Keivan Maghooli, Fardad Farokhi, Nader Jafarnia Dabanloo:
A new emotion detection algorithm using extracted features of the different time-series generated from ST intervals Poincaré map. Biomed. Signal Process. Control. 59: 101902 (2020) - 2013
- [j1]Shima Sabet, Mohammad Shokouhifar, Fardad Farokhi:
A discrete artificial bee colony for multiple Knapsack problem. Int. J. Reason. based Intell. Syst. 5(2): 88-95 (2013)
Conference and Workshop Papers
- 2023
- [c7]Shahzad Moghimifar, Fardad Farokhi:
Distinguishing between Tip-Toe and Normal Gaits using Knee Angle Signal from the Skeleton Data Gathered by using OpenPose Module. CSICC 2023: 1-7 - 2022
- [c6]Shahab Rezaei, Keivan Maghooli, Nader Jafarnia Dabanloo, Fardad Farokhi, Saman Parvaneh:
Blood Pressure Classification by Analyzing The Behavior of Heart Rate Variability in Poincare Plot. CinC 2022: 1-4 - 2012
- [c5]Akram Azarloo, Fardad Farokhi:
Automatic Musical Instrument Recognition Using K-NN and MLP Neural Networks. CICSyN 2012: 289-294 - 2011
- [c4]Amir Hossein Abdollahi Nohoji, Fardad Farokhi, Mohammad Shokouhifar, Majid Zamani:
Efficient parameters selection for artificial intelligence models of nanoscale MOSFETs. CCECE 2011: 840-844 - [c3]Amir Hossein Abdollahi Nohoji, Fardad Farokhi, Majid Zamani:
Performance comparison of artificial intelligence networks in nanoscale MOSFET modeling. ICNC 2011: 807-810 - [c2]Sepideh Araban, Fardad Farokhi, Kave Kangarloo:
Determining effective colour components for skin detection using a clustered neural network. ICSIPA 2011: 547-552 - 2010
- [c1]Zohreh Pazoki, Fardad Farokhi:
Effective Feature Selection for Face Recognition Based on Correspondence Analysis and Trained Artificial Neural Network. SITIS 2010: 80-84
Coauthor Index
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