المؤلفون: Guoming Li, Baoming Li, Zhengxiang Shi, Guoyu Lu, Lilong Chai, Khaled M. Rasheed, Prafulla Regmi, Ahmad Banakar

المصدر: Poultry Science, Vol 102, Iss 11, Pp 103076- (2023)

مصطلحات موضوعية: artificial intelligence, precision livestock farming, animal welfare, space allocation, oriented object detection, Animal culture, SF1-1100

وصف الملف: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0032579123005953; https://doaj.org/toc/0032-5791

URL الوصول: https://doaj.org/article/f2669f05148d4ad4b70dac36dc3d557d

المؤلفون: Christopher D. Whitmire, Jonathan M. Vance, Hend K. Rasheed, Ali Missaoui, Khaled M. Rasheed, Frederick W. Maier

المصدر: AI, Vol 2, Iss 1, Pp 71-88 (2021)

مصطلحات موضوعية: alfalfa, cross validation, feature selection, machine learning, regression, yield prediction, Electronic computers. Computer science, QA75.5-76.95

وصف الملف: electronic resource

Relation: https://www.mdpi.com/2673-2688/2/1/6; https://doaj.org/toc/2673-2688

URL الوصول: https://doaj.org/article/c783f4f52b2943849e33934d3fa1706a

المؤلفون: Shrinidhi Adke, Changying Li, Khaled M. Rasheed, Frederick W. Maier

المصدر: Sensors, Vol 22, Iss 10, p 3688 (2022)

مصطلحات موضوعية: cotton phenotyping, boll counting, supervised learning, mask R-CNN, weakly supervised learning, Chemical technology, TP1-1185

وصف الملف: electronic resource

Relation: https://www.mdpi.com/1424-8220/22/10/3688; https://doaj.org/toc/1424-8220

URL الوصول: https://doaj.org/article/d86e32e093f040c591d43fe1380c3f2f

المؤلفون: Mehdi Assefi, Mehdi Bahrami, Sarthak Arora, Thiab R. Taha, Hamid R. Arabnia, Khaled M. Rasheed, Wei-Peng Chen

المصدر: 2022 IEEE International Conference on Web Services (ICWS).

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::260338de6ffbd624649cc1d2bf56e6a7
https://doi.org/10.1109/icws55610.2022.00064

المؤلفون: Yaochu Jin, Sushil J. Louis, Khaled M. Rasheed

المصدر: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jan2005, Vol. 9 Issue 1, p1-2, 10p

المؤلفون: Rahil Taujale, Aarya Venkat, Liang-Chin Huang, Zhongliang Zhou, Wayland Yeung, Khaled M Rasheed, Sheng Li, Arthur S Edison, Kelley W Moremen, Natarajan Kannan

المصدر: eLife, Vol 9 (2020)

مصطلحات موضوعية: glycosyltransferase, GT evolution, donor prediction, GT phylogeny, common core, machine learning, Medicine, Science, Biology (General), QH301-705.5

وصف الملف: electronic resource

Relation: https://elifesciences.org/articles/54532; https://doaj.org/toc/2050-084X

URL الوصول: https://doaj.org/article/3af3aed9f09e483db012d4bc7e1b0006