Výsledky vyhledávání - "Rahim Azadnia"

Akademický článek

Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques

Autor: Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi

Publikováno v: Results in Engineering, Vol 17, Iss , Pp 100891- (2023)

Increasing marketability and waste management of agricultural products require quality assessment. Meanwhile, their marketability is largely affected by their shapes and overall appearance. Deep Learning (DL) has gained traction as a leading tool for

Externí odkaz: https://doaj.org/article/6c3a26ce52a94de68a71184355c1407d

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Akademický článek

An AI Based Approach for Medicinal Plant Identification Using Deep CNN Based on Global Average Pooling

Autor: Rahim Azadnia, Mohammed Maitham Al-Amidi, Hamed Mohammadi, Mehmet Akif Cifci, Avat Daryab, Eugenio Cavallo

Publikováno v: Agronomy, Vol 12, Iss 11, p 2723 (2022)

Medicinal plants have always been studied and considered due to their high importance for preserving human health. However, identifying medicinal plants is very time-consuming, tedious and requires an experienced specialist. Hence, a vision-based sys

Externí odkaz: https://doaj.org/article/0975fea2a8a04fc5a30a46967a943d22

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Plný text ve formátu HTML

New approach for rapid estimation of leaf nitrogen, phosphorus, and potassium contents in apple-trees using Vis/NIR spectroscopy based on wavelength selection coupled with machine learning

Autor: Rahim Azadnia, Ali Rajabipour, Bahareh Jamshidi, Mahmoud Omid

Publikováno v: Computers and Electronics in Agriculture. 207:107746

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6b671e1370077d29d55c2a6c13ddf30
https://doi.org/10.1016/j.compag.2023.107746

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Evaluation of hawthorns maturity level by developing an automated machine learning-based algorithm

Autor: Rahim Azadnia, Kamran Kheiralipour

Publikováno v: Ecological Informatics. 71:101804

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2da0e5e87d14d8e02243e0f23fe856a3
https://doi.org/10.1016/j.ecoinf.2022.101804

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Waste Management from Hawthorn Fruit Based on Ripeness Level Using Machine Vision and Deep Learning Approach

Autor: Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi

Publikováno v: SSRN Electronic Journal.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0e657710ee6cb466535f9509b20857b9
https://doi.org/10.2139/ssrn.3957831

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Contributors

Autor: Farid Wajdi Akashah, Hassan Z. Al Garni, Mumtaz Ali, Armando A. Apan, Anjali Awasthi, Rahim Azadnia, Hamoon Azizsoltani, Mourad Belgasmia, Omid Bozorg-Haddad, Tanmoy Chatterjee, Sourav Choudhary, Rajib Chowdhury, Xuefeng Chu, Kavina S. Dayal, Michael Delichatsios, Ravinesh C. Deo, S. Dey, Nathan J. Downs, Subhrajit Dutta, Amir H. Gandomi, J. Ramon Gaxiola-Camacho, Aboubaker Gherbi, Achintya Haldar, Soheil Sadat Hosseini, Pravin Jagtap, Mohsin M. Jamali, Madan K. Jha, Shahjahan Khan, Anoop Kodakkal, R.R. Kumar, Yuankai Li, Nehar Mandal, Tek Maraseni, Saman Maroufpoor, Vasant Matsagar, Anke Meyer-Baese, Behshad Mohebali, Tanmoy Mukhopadhya, Shahbaz Mushtaq, S. Naskar, Thong Nguyen-Huy, Wei Ning, Rachid Ouache, K.M. Pandey, Thendiyath Roshni, Zhang Runhong, Vikas Kumar Sharma, S. Sriramula, Amirhessam Tahmassebi, Anthony Teck Chee Goh, S. Mohsen Vazirizade, Francisco Javier Villegas-Mercado, Zhang Wengang, Li Yongqin, Jianping Zhang

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cfa66667f30fe6bb0b229272547390d8
https://doi.org/10.1016/b978-0-12-816514-0.01002-x

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Stochastic optimization

Autor: Omid Bozorg-Haddad, Rahim Azadnia, Saman Maroufpoor

Stochastic optimization includes a wide range of applications and methods that modify the objective functions when we face with statistical problems. The stochastic diffusion search (SDS) is the most useful method. In this chapter, the SDS was explai

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6ce7483a061fed9a5c114469cd17798e
https://doi.org/10.1016/b978-0-12-816514-0.00017-5

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Developing an automated monitoring system for fast and accurate prediction of soil texture using an image-based deep learning network and machine vision system

Autor: Rahim Azadnia, Ahmad Jahanbakhshi, Shima Rashidi, Mohammad khajehzadeh, Pourya Bazyar

Publikováno v: Measurement. 190:110669

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::572e88e98b2df282b7e3fc378b3a5e7e
https://doi.org/10.1016/j.measurement.2021.110669

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Recognition of leaves of different medicinal plant species using a robust image processing algorithm and artificial neural networks classifier

Autor: Kamran Kheiralipour, Rahim Azadnia

Publikováno v: Journal of Applied Research on Medicinal and Aromatic Plants. 25:100327

Nutritional properties and simple accessibility caused to pay attention to medicinal plants for long time. Therefore, the present study has been carried out to recognize and classify Falcaria vulgaris, Pelargonium sidoides, Trigonella foenum-graecum,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fbff3afe48bfad34f4722cfc3c285f9a
https://doi.org/10.1016/j.jarmap.2021.100327

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