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Scopus Author ID: 58036175400

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Education and qualifications (3)

Shahid Bahonar University of Kerman: Kerman, Kermān, IR

2019-01-01 to 2025-02-06 | Phd (Engineering )
Education
Source: Self-asserted source
Seyed Mahdi Mirhoseini Nejad

Amirkabir University of Technology: Tehran, Tehran, IR

2010-12-01 to 2013-10-14 | Master of Science / Communication Engineering (Electrical Engineering )
Education
Source: Self-asserted source
Seyed Mahdi Mirhoseini Nejad

Islamic Azad University Kerman Branch: Kerman, Kerman, IR

2005-09-01 to 2010-06-01 | B.Sc. Electrical and Electronic Engineering (Engineering )
Education
Source: Self-asserted source
Seyed Mahdi Mirhoseini Nejad

Works (4)

ConvLSTM–ViT: A Deep Neural Network for Crop Yield Prediction Using Earth Observations and Remotely Sensed Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2024 | Journal article
DOI: 10.1109/JSTARS.2024.3464411
Contributors: Seyed Mahdi Mirhoseini Nejad; Dariush Abbasi-Moghadam; Alireza Sharifi
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Crossref

Capsular attention Conv-LSTM network (CACN): A deep learning structure for crop yield estimation based on multispectral imagery

European Journal of Agronomy
2024-11 | Journal article
DOI: 10.1016/j.eja.2024.127369
Part of ISSN: 1161-0301
Contributors: Seyed Mahdi Mirhoseini Nejad; Dariush Abbasi-Moghadam; Alireza Sharifi
Source: Self-asserted source
Seyed Mahdi Mirhoseini Nejad

Crop Type Classification by DESIS Hyperspectral Imagery and Machine Learning Algorithms

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2023 | Journal article
DOI: 10.1109/JSTARS.2023.3239756
Contributors: Nizom Farmonov; Khilola Amankulova; József Szatmári; Alireza Sharifi; Dariush Abbasi-Moghadam; Seyed Mahdi Mirhoseini Nejad; László Mucsi
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Multispectral Crop Yield Prediction Using 3D-Convolutional Neural Networks and Attention Convolutional LSTM Approaches

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2023 | Journal article
DOI: 10.1109/JSTARS.2022.3223423
Contributors: Seyed Mahdi Mirhoseini Nejad; Dariush Abbasi-Moghadam; Alireza Sharifi; Nizom Farmonov; Khilola Amankulova; Mucsi Laszlz
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Crossref
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