Ali Moghimi

According to our database, Ali Moghimi authored at least 11 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

The role of psychological, skill level and demographic variables in information-seeking behaviours in mental health professionals.

Ali Akbari, Mohsen Nowkarizi, Reza Rostami, Ali Moghimi

J. Inf. Sci., 2024

2022

A Semi-supervised approach to cluster symptomatic and asymptomatic leaves in root lesion nematode infected walnut trees.

Ryan Omidi, Alireza Pourreza, Ali Moghimi, German Zuniga-Ramirez, Hamid Jafarbiglu, ZinThuZar Maung, Andreas Westphal

Comput. Electron. Agric., 2022

2020

A Novel Machine Learning Approach to Estimate Grapevine Leaf Nitrogen Concentration Using Aerial Multispectral Imagery.

Ali Moghimi, Alireza Pourreza, German Zuniga-Ramirez, Larry E. Williams, Matthew W. Fidelibus

Remote. Sens., 2020

Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat.

Ali Moghimi, Ce Yang, James A. Anderson

Comput. Electron. Agric., 2020

Ensemble Hyperspectral Band Selection for Detecting Nitrogen Status in Grape Leaves.

Ryan Omidi, Ali Moghimi, Alireza Pourreza, Mohamed El-Hadedy, Anas Salah Eddin

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

2019

Detection of Fusarium Head Blight in Wheat Using a Deep Neural Network and Color Imaging.

Ruicheng Qiu, Ce Yang, Ali Moghimi, Man Zhang, Brian J. Steffenson, Cory D. Hirsch

Remote. Sens., 2019

2018

Ensemble Feature Selection for Plant Phenotyping: A Journey From Hyperspectral to Multispectral Imaging.

Ali Moghimi, Ce Yang, Peter M. Marchetto

IEEE Access, 2018

2017

Effect of two different treadmill training protocols on locomotion recovery in spinalized rats.

Zahra Khodadadi, Hamid Reza Kobravi, Ali Moghimi

Proceedings of the 8th International IEEE/EMBS Conference on Neural Engineering, 2017

2016

Dynamic modeling of SEMG-force relation in the presence of muscle fatigue during isometric contractions.

Moein Asefi, Sahar Moghimi, Hadi Kalani, Ali Moghimi

Biomed. Signal Process. Control., 2016

2010

An intelligent system for diagnosing sleep stages using wavelet coefficients.

Maryam Vatankhah, Mohammad R. Akbarzadeh-Totonchi, Ali Moghimi

Proceedings of the International Joint Conference on Neural Networks, 2010

2009

GA/SVM for Diagnosis Sleep Stages Using Non-linear and Spectral Features.

Maryam Vatankhah, Mohammad Reza Akbarzadeh-Totonchi, Ali Moghimi, Vahid Asadpour

Proceedings of the Soft Computing in Industrial Applications, 2009