Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Ksibi, Amel, Ayadi, Manel, Soufiene, Ben Othman, Jamjoom, Mona M., Ullah, Zahid (2022) MobiRes-Net: A Hybrid Deep Learning Model for Detecting and Classifying Olive Leaf Diseases. Applied Sciences, 12 (20) 10278 doi:10.3390/app122010278

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleMobiRes-Net: A Hybrid Deep Learning Model for Detecting and Classifying Olive Leaf Diseases
JournalApplied Sciences
AuthorsKsibi, AmelAuthor
Ayadi, ManelAuthor
Soufiene, Ben OthmanAuthor
Jamjoom, Mona M.Author
Ullah, ZahidAuthor
Year2022 (October 12)Volume12
Issue20
PublisherMDPI AG
DOIdoi:10.3390/app122010278Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID15425910Long-form Identifiermindat:1:5:15425910:5
GUID0
Full ReferenceKsibi, Amel, Ayadi, Manel, Soufiene, Ben Othman, Jamjoom, Mona M., Ullah, Zahid (2022) MobiRes-Net: A Hybrid Deep Learning Model for Detecting and Classifying Olive Leaf Diseases. Applied Sciences, 12 (20) 10278 doi:10.3390/app122010278
Plain TextKsibi, Amel, Ayadi, Manel, Soufiene, Ben Othman, Jamjoom, Mona M., Ullah, Zahid (2022) MobiRes-Net: A Hybrid Deep Learning Model for Detecting and Classifying Olive Leaf Diseases. Applied Sciences, 12 (20) 10278 doi:10.3390/app122010278
In(2022, October) Applied Sciences Vol. 12 (20) MDPI AG

See Also

These are possibly similar items as determined by title/reference text matching only.

Ullah, Zahid, Jamjoom, Mona (2023) A smart secured framework for detecting and averting online recruitment fraud using ensemble machine learning techniques. PeerJ Computer Science, 9. doi:10.7717/peerj-cs.1234
Li, Dun, Ahmed, Kanwal, Zheng, Zhiyun, Mohsan, Syed Agha Hassnain, Alsharif, Mohammed H., Myriam, Hadjouni, Jamjoom, Mona M., Mostafa, Samih M. (2022) Roman Urdu Sentiment Analysis Using Transfer Learning. Applied Sciences, 12 (20) 10344 doi:10.3390/app122010344
Ullah, Zahid, Jamjoom, Mona (2022) An intelligent approach for Arabic handwritten letter recognition using convolutional neural network. PeerJ Computer Science, 8. doi:10.7717/peerj-cs.995
Nagpal, Dimple, Alsubaie, Najah, Soufiene, Ben Othman, Alqahtani, Mohammed S., Abbas, Mohamed, Almohiy, Hussain M. (2023) Automatic Detection of Diabetic Hypertensive Retinopathy in Fundus Images Using Transfer Learning. Applied Sciences, 13 (8) 4695 doi:10.3390/app13084695
Rabbani, Hasnain, Shahid, Muhammad Farrukh, Khanzada, Tariq Jamil Saifullah, Siddiqui, Shahbaz, Jamjoom, Mona Mamdouh, Ashari, Rehab Bahaaddin, Ullah, Zahid, Mukati, Muhammad Umair, Nooruddin, Mustafa (2024) Enhancing security in financial transactions: a novel blockchain-based federated learning framework for detecting counterfeit data in fintech. PeerJ Computer Science, 10. doi:10.7717/peerj-cs.2280
Ahmed Hamza, Manar, Abdullah Mengash, Hanan, Alotaibi, Saud S., Hassine, Siwar Ben Haj, Yafoz, Ayman, Althukair, Fahd, Othman, Mahmoud, Marzouk, Radwa (2022) Optimal and Efficient Deep Learning Model for Brain Tumor Magnetic Resonance Imaging Classification and Analysis. Applied Sciences, 12 (15) 7953 doi:10.3390/app12157953
Altalak, Maha, Uddin, Mohammad Ammad, Alajmi, Amal, Rizg, Alwaseemah (2022) A Hybrid Approach for the Detection and Classification of Tomato Leaf Diseases. Applied Sciences, 12 (16) 8182 doi:10.3390/app12168182
Chowdhury, M. Arshad Zahangir, Rice, Timothy E., Oehlschlaeger, Matthew A. (2022) VOC-Net: A Deep Learning Model for the Automated Classification of Rotational THz Spectra of Volatile Organic Compounds. Applied Sciences, 12 (17) 8447 doi:10.3390/app12178447
Goshika, Sandeep, Meksem, Khalid, Ahmed, Khaled R., Lakhssassi, Naoufal (2023) Deep Learning Model for Classifying and Evaluating Soybean Leaf Disease Damage. International Journal of Molecular Sciences, 25 (1) 106 doi:10.3390/ijms25010106
Ni, Jianjun, Chen, Yan, Gu, Yu, Fang, Xiaolong, Shi, Pengfei (2022) An Improved Hybrid Transfer Learning-Based Deep Learning Model for PM2.5 Concentration Prediction. Applied Sciences, 12 (7) 3597pp. doi:10.3390/app12073597
Yang, Lifeng, Liu, Shengzong, Zhao, Yiqi (2022) Deep-Learning Based Algorithm for Detecting Targets in Infrared Images. Applied Sciences, 12 (7) 3322pp. doi:10.3390/app12073322
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are Β© OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 20, 2025 09:46:25
Go to top of page