المؤلفون: Amal Alshardan, Nuha Alruwais, Hamed Alqahtani, Asma Alshuhail, Wafa Sulaiman Almukadi, Ahmed Sayed

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)

مصطلحات موضوعية: Brain tumor, Medical image, Semantic segmentation, MRI image, Crayfish optimization, DeepLabv3+, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/c8a183c9969d4fd1927d9e98b77c25b3

المؤلفون: Amal Alshardan, Nazir Ahmad, Achraf Ben Miled, Asma Alshuhail, Yazeed Alzahrani, Ahmed Mahmud

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-21 (2024)

مصطلحات موضوعية: Mitotic nuclei, Coati optimization algorithm, Median filtering, Capsule network, HAU-UNet, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/23018a2cefa6464092b6d44be6f34c6a

المؤلفون: Wahida Mansouri, Amal Alshardan, Nazir Ahmad, Nuha Alruwais

المصدر: AIMS Mathematics, Vol 9, Iss 10, Pp 29107-29134 (2024)

مصطلحات موضوعية: deepfake, deep learning, image detection, coronavirus herd immunity optimizer, machine learning, Mathematics, QA1-939

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2473-6988

URL الوصول: https://doaj.org/article/c5f9d27e7b844a65badca8e2db346c9a

المؤلفون: Moneerah Alotaibi, Amal Alshardan, Mashael Maashi, Mashael M. Asiri, Sultan Refa Alotaibi, Ayman Yafoz, Raed Alsini, Alaa O. Khadidos

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)

مصطلحات موضوعية: Lung and colon cancer, Histopathological imaging, Deep learning, Tuna swarm optimization, Machine learning, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/0e48b1df7b4d44cbbd52a87fb2b3bfaf

المؤلفون: Amal Alshardan, Hany Mahgoub, Nuha Alruwais, Abdulbasit A. Darem, Wafa Sulaiman Almukadi, Abdullah Mohamed

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Biomedical image analysis, Disease detection, Deep learning, Henry gas solubility optimization, Image preprocessing, Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/926e6ba3080e424494808fc31ef527c1

المؤلفون: Amal Alshardan, Arun Kumar, Mohammed Alghamdi, Mashael Maashi, Saad Alahmari, Abeer A. K. Alharbi, Wafa Almukadi, Yazeed Alzahrani

المصدر: PeerJ Computer Science, Vol 10, p e2440 (2024)

مصطلحات موضوعية: Contrast Limited Adaptive Histogram Equalization (CLAHE), Deep learning, Security, Fusion, CNN models, Preprocessing, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://peerj.com/articles/cs-2440.pdf; https://peerj.com/articles/cs-2440/; https://doaj.org/toc/2376-5992

URL الوصول: https://doaj.org/article/9774466a8d8a4116b8300f715be494a3

المؤلفون: Oumaima Saidani, Muhammad Umer, Nazik Alturki, Amal Alshardan, Muniba Kiran, Shtwai Alsubai, Tai-Hoon Kim, Imran Ashraf

المصدر: Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)

مصطلحات موضوعية: Medicine, Science

وصف الملف: electronic resource

Relation: https://doaj.org/toc/2045-2322

URL الوصول: https://doaj.org/article/926d2866d2f641208643d21487e7faf1

المؤلفون: Saddaf Rubab, Muhammad Attique Khan, Ameer Hamza, Hussain Mobarak Albarakati, Oumaima Saidani, Amal Alshardan, Areej Alasiry, Mehrez Marzougui, Yunyoung Nam

المصدر: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13135-13148 (2024)

مصطلحات موضوعية: Augmentation, explainable AI, fusion, land cover, remote sensing (RS), self-attention, Ocean engineering, TC1501-1800, Geophysics. Cosmic physics, QC801-809

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10595420/; https://doaj.org/toc/1939-1404; https://doaj.org/toc/2151-1535

URL الوصول: https://doaj.org/article/511e84e7561c43f9ae93821a62f33d7f

المؤلفون: Amal Alshardan, Sidra Tariq, Rab Nawaz Bashir, Oumaima Saidani, Rashid Jahangir

المصدر: IEEE Access, Vol 12, Pp 129575-129586 (2024)

مصطلحات موضوعية: Wind power prediction, federated learning (FL), linear regression (LR), support vector regression (SVR), random forest regression (RFR), extreme gradient boosting regression (XGBR), Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10559827/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/8497363a366a48d6b043fb72112c9379

المؤلفون: Amal Alshardan, Mashael Maashi, Sultan M. Alanazi, Abdulbasit A. Darem, Hany Mahgoub, Mohammed A. Alliheedi, Menwa Alshammeri

المصدر: IEEE Access, Vol 12, Pp 158322-158332 (2024)

مصطلحات موضوعية: Traffic flow control, fuzzy deep neural network, feature selection, crayfish optimization algorithm, intelligent transportation systems, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10723283/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/19439662e06b4bc4b727c90d2d74f6e1

المؤلفون: Oumaima Saidani, Turki Aljrees, Muhammad Umer, Nazik Alturki, Amal Alshardan, Sardar Waqar Khan, Shtwai Alsubai, Imran Ashraf

المصدر: Diagnostics, Vol 13, Iss 15, p 2544 (2023)

مصطلحات موضوعية: transfer learning, brain tumor prediction, data features, healthcare, MRI images, ensemble learning, Medicine (General), R5-920

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2075-4418/13/15/2544; https://doaj.org/toc/2075-4418

URL الوصول: https://doaj.org/article/efd9d7078e0c474f9624f063fc5800cc

المؤلفون: Giselle Rampersad, Robert Goodwin, Amal Alshardan

المصدر: Computer and Information Science. 9:1

مصطلحات موضوعية: Vendor, Computer science, media_common.quotation_subject, Information quality, Developing country, Context (language use), Confirmatory factor analysis, Structural equation modeling, Management, Information system, Pharmacology (medical), Quality (business), Industrial organization, media_common

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::602e6ed502979f2fe04381829e30d42e
https://doi.org/10.5539/cis.v9n1p1