Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Ahmad AL Smadi"'
Autor:
Mutasem K. Alsmadi, Malek Alzaqebah, Sana Jawarneh, Ibrahim ALmarashdeh, Mohammed Azmi Al-Betar, Maram Alwohaibi, Noha A. Al-Mulla, Eman AE Ahmed, Ahmad AL Smadi
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-21 (2024)
Abstract Topic modeling methods proved to be effective for inferring latent topics from short texts. Dealing with short texts is challenging yet helpful for many real-world applications, due to the sparse terms in the text and the high dimensionality
Externí odkaz:
https://doaj.org/article/3a77b2ad8c6b4d1198856d4083223042
Publikováno v:
IEEE Access, Vol 12, Pp 64396-64415 (2024)
Against the backdrop of the pervasive global challenge of cancer, with particular emphasis on lung cancer (LC), this study centers its investigation on the critical realm of early detection leveraging artificial intelligence (AI) within the domain of
Externí odkaz:
https://doaj.org/article/f56a4630d5004a8898f67071798d2c9f
Publikováno v:
IEEE Access, Vol 12, Pp 39811-39832 (2024)
The early diagnosis of breast cancer (BC), a prominent global cause of mortality, necessitates the development of innovative diagnostic strategies. This study leverages machine learning (ML) and advanced image processing techniques to analyze histopa
Externí odkaz:
https://doaj.org/article/28912e7391dc4d6187458b3ca97a5859
Autor:
Farah Shahid, Atif Mehmood, Rizwan Khan, Ahmad AL Smadi, Muhammad Yaqub, Mutasem K. Alsmadi, Zhonglong Zheng
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 35, Iss 10, Pp 101816- (2023)
Various supervised machine-learning algorithms for wind power forecasting have been developed in recent years to manage wind power fluctuations and effectively correlate to energy consumption; Meanwhile, the performance of the model does suffer from
Externí odkaz:
https://doaj.org/article/e3dac85c0aa7424a9fc02d392efab8a9
Publikováno v:
IEEE Access, Vol 10, Pp 44778-44788 (2022)
This paper presents a pansharpening technique based on the non-subsampled contourlet transform (NSCT) and convolutional autoencoder (CAE). NSCT is exceptionally proficient at presenting orientation information and capturing the internal geometry of o
Externí odkaz:
https://doaj.org/article/34ee88da446440829ab7702d7885f6da
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2629-2642 (2021)
Abstract Remote sensing image fusion plays important roles in numerous applications, including monitoring, metrology, and agriculture. Image fusion gathers essential information from several image sources and consolidates them into a single image cal
Externí odkaz:
https://doaj.org/article/6a5ad3a7ac1f447a9c6bbd3e4817e671
Publikováno v:
EURASIP Journal on Image and Video Processing, Vol 2021, Iss 1, Pp 1-20 (2021)
Abstract In this paper, we propose a pansharpening method based on a convolutional autoencoder. The convolutional autoencoder is a sort of convolutional neural network (CNN) and objective to scale down the input dimension and typify image features wi
Externí odkaz:
https://doaj.org/article/98e86503a56348dda991a171974388e5
Publikováno v:
Informatics in Medicine Unlocked, Vol 32, Iss , Pp 101059- (2022)
COVID-19 detection from medical imaging is a difficult challenge that has piqued the interest of experts worldwide. Chest X-rays and computed tomography (CT) scanning are the essential imaging modalities for diagnosing COVID-19. All researchers focus
Externí odkaz:
https://doaj.org/article/a9da78df7b824ef197c9a9995483f8ed
Autor:
Abeer Hisham Alzaghmouri, Rami Masa'deh, Mira Al Jaberi, Omayma Masadeh, Ahmad Al Smadi, Ghadeer Ahmad Alshawabkeh
Publikováno v:
Journal of Health Sciences (2021)
Introduction: The previous studies showed that fatigue is a very common symptom in patients diagnosed with multiple sclerosis (MS) and has the greatest effect on their activities of daily living. Benson relaxation technique (BRT) is one of the most r
Externí odkaz:
https://doaj.org/article/0ba06e4936b845ee951791257c31edf5
Publikováno v:
Procedia Computer Science. 220:8-15