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Fardad Farokhi
ORCID
Publication Activity (10 Years)
Years Active: 2010-2023
Publications (10 Years): 4
Top Topics
Artificial Bee Colony
Motion Detection
Emotion Recognition
Convolutional Neural Network
Top Venues
Circuits Syst. Signal Process.
Int. J. Reason. based Intell. Syst.
Biomed. Signal Process. Control.
CSICC
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Publications
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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)
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) (2023)
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) (2023)
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 (2020)
Shima Sabet
,
Mohammad Shokouhifar
,
Fardad Farokhi
A discrete artificial bee colony for multiple Knapsack problem.
Int. J. Reason. based Intell. Syst.
5 (2) (2013)
Akram Azarloo
,
Fardad Farokhi
Automatic Musical Instrument Recognition Using K-NN and MLP Neural Networks.
CICSyN
(2012)
Amir Hossein Abdollahi Nohoji
,
Fardad Farokhi
,
Mohammad Shokouhifar
,
Majid Zamani
Efficient parameters selection for artificial intelligence models of nanoscale MOSFETs.
CCECE
(2011)
Amir Hossein Abdollahi Nohoji
,
Fardad Farokhi
,
Majid Zamani
Performance comparison of artificial intelligence networks in nanoscale MOSFET modeling.
ICNC
(2011)
Sepideh Araban
,
Fardad Farokhi
,
Kave Kangarloo
Determining effective colour components for skin detection using a clustered neural network.
ICSIPA
(2011)
Zohreh Pazoki
,
Fardad Farokhi
Effective Feature Selection for Face Recognition Based on Correspondence Analysis and Trained Artificial Neural Network.
SITIS
(2010)