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2020 – today
- 2024
[j7]Ali Akbari
, Mohsen Nowkarizi, Reza Rostami, Ali Moghimi:
The role of psychological, skill level and demographic variables in information-seeking behaviours in mental health professionals. J. Inf. Sci. 50(2): 420-433 (2024)- 2022
- [j6]Ryan Omidi, Alireza Pourreza, Ali Moghimi, German Zuniga-Ramirez, Hamid Jafarbiglu, ZinThuZar Maung, Andreas Westphal:
A Semi-supervised approach to cluster symptomatic and asymptomatic leaves in root lesion nematode infected walnut trees. Comput. Electron. Agric. 194: 106761 (2022) - 2020
- [j5]Ali Moghimi, Ce Yang, James A. Anderson:
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat. Comput. Electron. Agric. 172: 105299 (2020) - [j4]Ali Moghimi, Alireza Pourreza, German Zuniga-Ramirez, Larry E. Williams, Matthew W. Fidelibus:
A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery. Remote. Sens. 12(21): 3515 (2020) - [c4]Ryan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy, Anas Salah Eddin:
Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves. ICMLA 2020: 286-293 - [i2]Ryan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy, Anas Salah Eddin:
Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves. CoRR abs/2010.04225 (2020)
2010 – 2019
- 2019
- [j3]Ruicheng Qiu, Ce Yang, Ali Moghimi, Man Zhang, Brian J. Steffenson, Cory D. Hirsch:
Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging. Remote. Sens. 11(22): 2658 (2019) - [i1]Ali Moghimi, Ce Yang, James A. Anderson:
Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat. CoRR abs/1906.09666 (2019) - 2018
- [j2]Ali Moghimi, Ce Yang, Peter M. Marchetto:
Ensemble Feature Selection for Plant Phenotyping: A Journey From Hyperspectral to Multispectral Imaging. IEEE Access 6: 56870-56884 (2018) - 2017
- [c3]Zahra Khodadadi, Hamid Reza Kobravi, Ali Moghimi:
Effect of two different treadmill training protocols on locomotion recovery in spinalized rats. NER 2017: 452-455 - 2016
- [j1]Moein Asefi, Sahar Moghimi, Hadi Kalani, Ali Moghimi:
Dynamic modeling of SEMG-force relation in the presence of muscle fatigue during isometric contractions. Biomed. Signal Process. Control. 28: 41-49 (2016) - 2010
- [c2]Maryam Vatankhah, Mohammad R. Akbarzadeh-Totonchi, Ali Moghimi:
An intelligent system for diagnosing sleep stages using wavelet coefficients. IJCNN 2010: 1-5
2000 – 2009
- 2009
- [c1]Maryam Vatankhah, Mohammad Reza Akbarzadeh-Totonchi, Ali Moghimi, Vahid Asadpour:
GA/SVM for Diagnosis Sleep Stages Using Non-linear and Spectral Features. WSC 2009: 175-184
Coauthor Index
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