Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Khaled Rasheed"'
Autor:
Saeid Safaei, Zerotti Woods, Khaled Rasheed, Thiab R. Taha, Vahid Safaei, Juan B. Gutierrez, Hamid R. Arabnia
Publikováno v:
IEEE Access, Vol 12, Pp 73363-73375 (2024)
Deep learning techniques have demonstrated significant capabilities across numerous applications, with deep neural networks (DNNs) showing promising results. However, training these networks efficiently, especially when determining the most suitable
Externí odkaz:
https://doaj.org/article/bc878b86af9940c382aabfe5c08372f1
Publikováno v:
AI, Vol 4, Iss 1, Pp 1-15 (2022)
Alfalfa is critical to global food security, and its data is abundant in the U.S. nationally, but often scarce locally, limiting the potential performance of machine learning (ML) models in predicting alfalfa biomass yields. Training ML models on loc
Externí odkaz:
https://doaj.org/article/26944a371f9342859d5c2d55ef3ca2f3
Publikováno v:
Technologies, Vol 11, Iss 2, p 40 (2023)
Deep learning has been the answer to many machine learning problems during the past two decades. However, it comes with two significant constraints: dependency on extensive labeled data and training costs. Transfer learning in deep learning, known as
Externí odkaz:
https://doaj.org/article/e15362d7d94543f1a6db865bcb8b2ac2
Autor:
Liang-Chin Huang, Wayland Yeung, Ye Wang, Huimin Cheng, Aarya Venkat, Sheng Li, Ping Ma, Khaled Rasheed, Natarajan Kannan
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-22 (2020)
Abstract Background Protein kinases are a large family of druggable proteins that are genomically and proteomically altered in many human cancers. Kinase-targeted drugs are emerging as promising avenues for personalized medicine because of the differ
Externí odkaz:
https://doaj.org/article/cc1fe6b374c94cfda91f6ad05acdda5c
Publikováno v:
IEEE Access, Vol 8, Pp 218386-218400 (2020)
Methodologies that utilize Deep Learning offer great potential for applications that automatically attempt to generate captions or descriptions about images and video frames. Image and video captioning are considered to be intellectually challenging
Externí odkaz:
https://doaj.org/article/2b40405aa3404cb2adb4b49b7a041ce3
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 4, p e1003545 (2014)
Cancer is a genetic disease that develops through a series of somatic mutations, a subset of which drive cancer progression. Although cancer genome sequencing studies are beginning to reveal the mutational patterns of genes in various cancers, identi
Externí odkaz:
https://doaj.org/article/dea9fa690c224547830f3add6db693fc
Generative Adversarial Networks (GANs) are machine learning methods that are used in many important and novel applications. For example, in imaging science, GANs are effectively utilized in generating image datasets, photographs of human faces, image
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86961e64b98260af4e5648e17f41ff10
http://arxiv.org/abs/2201.09152
http://arxiv.org/abs/2201.09152
Deep learning has been the answer to many machine learning problems during the past two decades. However, it comes with two major constraints: dependency on extensive labeled data and training costs. Transfer learning in deep learning, known as Deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b39b7ddeea407fd647511122555ee4e
Publikováno v:
IEEE Access, Vol 8, Pp 218386-218400 (2020)
Methodologies that utilize Deep Learning offer great potential for applications that automatically attempt to generate captions or descriptions about images and video frames. Image and video captioning are considered to be intellectually challenging
Publikováno v:
2021 International Conference on Computational Science and Computational Intelligence (CSCI).