Effective Feature Selection for Face Recognition Based on Correspondence Analysis and Trained Artificial Neural Network. - Zohreh Pazoki; Fardad Farokhi (SITIS, 2010)

Efficient parameters selection for artificial intelligence models of nanoscale MOSFETs. - Amir Hossein Abdollahi Nohoji; Fardad Farokhi; Mohammad Shokouhifar; Majid Zamani 002 (CCECE, 2011)

Performance comparison of artificial intelligence networks in nanoscale MOSFET modeling. - Amir Hossein Abdollahi Nohoji; Fardad Farokhi; Majid Zamani 002 (ICNC, 2011)

Determining effective colour components for skin detection using a clustered neural network. - Sepideh Araban; Fardad Farokhi; Kave Kangarloo (ICSIPA, 2011)

Automatic Musical Instrument Recognition Using K-NN and MLP Neural Networks. - Akram Azarloo; Fardad Farokhi (CICSyN, 2012)

A discrete artificial bee colony for multiple Knapsack problem. - Shima Sabet; Mohammad Shokouhifar; Fardad Farokhi (Int. J. Reason. based Intell. Syst., 2013)

A new emotion detection algorithm using extracted features of the different time-series generated from ST intervals Poincaré map. - Maryam Baghizadeh; Keivan Maghooli; Fardad Farokhi; Nader Jafarnia Dabanloo (Biomed. Signal Process. Control., 2020)

Blood Pressure Classification by Analyzing The Behavior of Heart Rate Variability in Poincare Plot. - Shahab Rezaei; Keivan Maghooli; Nader Jafarnia Dabanloo; Fardad Farokhi; Saman Parvaneh (CinC, 2022)

Distinguishing between Tip-Toe and Normal Gaits using Knee Angle Signal from the Skeleton Data Gathered by using OpenPose Module. - Shahzad Moghimifar; Fardad Farokhi (CSICC, 2023)

Deep Convolutional Neural Network and Gray Wolf Optimization Algorithm for Speech Emotion Recognition. - Mohammad Reza Falahzadeh; Fardad Farokhi; Ali Harimi; Reza Sabbaghi-Nadooshan (Circuits Syst. Signal Process., 2023)

A 3D Tensor Representation of Speech and 3D Convolutional Neural Network for Emotion Recognition. - Mohammad Reza Falahzadeh; Fardad Farokhi; Ali Harimi; Reza Sabbaghi-Nadooshan (Circuits Syst. Signal Process., 2023)

Segmentation of coronary arteries from X-ray angiographic images using density based spatial clustering of applications with noise (DBSCAN). - Kamran Mardani; Keivan Maghooli; Fardad Farokhi (Biomed. Signal Process. Control., 2025)