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Mohammad Momeny
Observed name:
Mohamad Momeny
Institutions:
Yazd University,
University of Helsinki
Observed institutions:
Yazd University,
University of Helsinki,
University of Florida,
Southwest Florida Research,
University of Mohaghegh Ardabili
ORCID:
0000-0002-8512-8307
Observed ORCID:
0000-0002-8512-8307
OpenAlex ID:
A5029685429
Accurate classification of cherry fruit using deep CNN based on hybrid pooling approach
2020
·
Mohammad Momeny
, Ahmad Jahanbakhshi
, et al.
·
Postharvest Biology and Technology
·
188
Classification of sour lemons based on apparent defects using stochastic pooling mechanism in deep convolutional neural networks
2019
·
Ahmad Jahanbakhshi
, Mohammad Momeny
, et al.
·
Scientia Horticulturae
·
167
A noise robust convolutional neural network for image classification
2021
·
Mohammad Momeny
, Ali Mohammad Latif
, et al.
·
Results in Engineering
·
131
PDF
Detection of citrus black spot disease and ripeness level in orange fruit using learning-to-augment incorporated deep networks
2022
·
Mohammad Momeny
, Ahmad Jahanbakhshi
, et al.
·
Ecological Informatics
·
95
A novel method based on machine vision system and deep learning to detect fraud in turmeric powder
2021
·
Ahmad Jahanbakhshi
, Yousef Abbaspour-Gilandeh
, et al.
·
Computers in Biology and Medicine
·
95
Influence of ultrasound pre‐treatment and temperature on the quality and thermodynamic properties in the drying process of nectarine slices in a hot air dryer
2020
·
Ahmad Jahanbakhshi
, Reza Yeganeh
, et al.
·
Journal of Food Processing and Preservation
·
95
Detection of fraud in ginger powder using an automatic sorting system based on image processing technique and deep learning
2021
·
Ahmad Jahanbakhshi
, Yousef Abbaspour-Gilandeh
, et al.
·
Computers in Biology and Medicine
·
83
Grading and fraud detection of saffron via learning-to-augment incorporated Inception-v4 CNN
2022
·
Mohammad Momeny
, Ali Asghar Neshat
, et al.
·
Food Control
·
76
Waste management using an automatic sorting system for carrot fruit based on image processing technique and improved deep neural networks
2021
·
Ahmad Jahanbakhshi
, Mohammad Momeny
, et al.
·
Energy Reports
·
73
PDF
Learning-to-augment strategy using noisy and denoised data: Improving generalizability of deep CNN for the detection of COVID-19 in X-ray images
2021
·
Mohammad Momeny
, Ali Asghar Neshat
, et al.
·
Computers in Biology and Medicine
·
67
PDF
Detection of Covid-19 in Noisy X-Ray Images Using Learning-to-Augment Incorporated Noise-Robust Deep Cnn
2021
·
Adel Akbarimajd
, Nicolas Hoertel
, et al.
·
Journal of Computational Science
·
43
PDF
RETRACTED: Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy
2021
·
Mohammad Momeny
, Ali Asghar Neshat
, et al.
·
Computers in Biology and Medicine
·
41
Vision-based strawberry classification using generalized and robust deep networks
2023
·
Hossein Azizi
, Ezzatollah Askari Asli-Ardeh
, et al.
·
Journal of Agriculture and Food Research
·
29
LAIU-Net: A learning-to-augment incorporated robust U-Net for depressed humans’ tongue segmentation
2023
·
Mahmoud Marhamati
, Ali Asghar Latifi Zadeh
, et al.
·
Displays
·
29
Active deep learning from a noisy teacher for semi-supervised 3D image segmentation: Application to COVID-19 pneumonia infection in CT
2022
·
Mohammad Arafat Hussain
, Zahra Mirikharaji
, et al.
·
Computerized Medical Imaging and Graphics
·
19
PDF
Removal of high density impulse noise using a novel decision based adaptive weighted and trimmed median filter
2013
·
Mahdi Nooshyar
, Mohamad Momeny
·
Iranian Conference on Machine Vision and Image Processing
·
14
A Convolutional Neural Network based on Adaptive Pooling for Classification of Noisy Images
2021
·
Mohammad Momeny
, Mehdi Agha Sarram
, et al.
·
Signal and Data Processing
·
9
PDF
Harnessing social media data to track species range shifts
2026
·
Shawan Chowdhury
, Niloy Hawladar
, et al.
·
Conservation Biology
·
7
Patient's airway monitoring during cardiopulmonary resuscitation using deep networks
2024
·
Mahmoud Marhamati
, Behnam Dorry
, et al.
·
Medical Engineering & Physics
·
3
Applications of electronic nose, electronic tongue and machine learning to measure the quality of ginger powder based on aroma and taste
2026
·
Ahmad Jahanbakhshi
, Yousef Abbaspour-Gilandeh
, et al.
·
Journal of Food Engineering
·
2
Authenticity verification and fraud detection in turmeric powder based on aroma and taste profiles using electronic nose, electronic tongue and artificial intelligence
2026
·
Ahmad Jahanbakhshi
, Yousef Abbaspour-Gilandeh
, et al.
·
Results in Chemistry
·
2
A multimodal learning approach for automated detection of wildlife trade on social media
2026
·
Mohammad Momeny
, Ritwik Kulkarni
, et al.
·
Global Ecology and Conservation
·
1
PDF
Shuffle PatchMix augmentation for generalizable deep learning in cinnamon powder authentication
2026
·
Ahmad Jahanbakhshi
, Yousef Abbaspour-Gilandeh
, et al.
·
Applied Food Research
Retraction notice to "Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy" [Computers in Biology and Medicine 141 (2022) 105175]
2026
·
Mohammad Momeny
, Ali Asghar Neshat
, et al.
·
Computers in Biology and Medicine
PDF
Corrigendum to “Authenticity verification and fraud detection in turmeric powder based on aroma and taste profiles using electronic nose, electronic tongue and artificial intelligence” [Res. Chem. 28, 103520]
2026
·
Ahmad Jahanbakhshi
, Yousef Abbaspour-Gilandeh
, et al.
·
Results in Chemistry
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Works count:
31
Citation count:
1,269
H-index:
15
I10-index:
16
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