Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Acquisition process (1)
- Artificial intelligence (1)
- Automatic approaches (1)
- Big data (1)
- COVID-19 (1)
-
- Cloud computing (1)
- Deep learning (1)
- Diagnosis (1)
- Diseases (1)
- Environmental impact (1)
- Higher education (1)
- Histology (1)
- Image segmentation (1)
- Knee magnetic resonance images (1)
- Literature review (1)
- Machine learning (1)
- Machine learning techniques (1)
- Magnetic resonance imaging (1)
- Magnetism (1)
- Manufacturing (1)
- Performance metrics (1)
- Reproducibilities (1)
- Resonance (1)
- Rheumatoid arthritis (1)
- Segmentation techniques (1)
- Sustainability (1)
- The IoT (1)
- Tissue (1)
- —Digital transformation (1)
Articles 1 - 5 of 5
Full-Text Articles in Physical Sciences and Mathematics
Digital Transformation In Higher Education: A Framework For Maturity Assessment, Adam Marks, Maytha Al-Ali, Reem Atassi, Abedallah Zaid Abualkishik, Yacine Rezgui
Digital Transformation In Higher Education: A Framework For Maturity Assessment, Adam Marks, Maytha Al-Ali, Reem Atassi, Abedallah Zaid Abualkishik, Yacine Rezgui
All Works
© 2020 Science and Information Organization. All rights reserved. —Literature in digital transformation maturity is scarce. Digital transformation in higher education, especially after COVID-19 is seen as inevitable. This research explores digital transformation maturity and challenges within Higher Education. The significance of this study stems from the role digital transformation plays in today’s knowledge economy. This study proposes a new framework based on Deloitte’s 2019 digital transformation assessment framework with Petkovic 2014 mega and major higher education process mapping. The study triangulates the findings of multiple research instruments, including survey, interviews, case study, and direct observation. The research findings show …
Mobile Learning Features Preferred: An Examination Of Students In The United Arab Emirates, Jason D. Johnson, Cara Williams
Mobile Learning Features Preferred: An Examination Of Students In The United Arab Emirates, Jason D. Johnson, Cara Williams
All Works
The purpose of the current study was to examine the preferred mobile learning features higher education Emirati students use to make sense of mathematics and to determine if these Emirati students valued a mobile device as an essential tool to learn mathematics. Both students and instructors used the Texas Instruments Nspire: Computer Algebra System (CAS) App in a semester mathematics course. The app has such features as enter expressions in proper mathematics notation, import images, dynamically linked notes, share work across platforms (emails, iTunes, Dropbox, etc.), and save documents to mobile device. Participates included sixty-three undergraduate students enrolled in a …
Lean-Green Manufacturing Practices And Their Link With Sustainability: A Critical Review, Wadhah Abualfaraa, Konstantinos Salonitis, Ahmed Al-Ashaab, Maher Ala'raj
Lean-Green Manufacturing Practices And Their Link With Sustainability: A Critical Review, Wadhah Abualfaraa, Konstantinos Salonitis, Ahmed Al-Ashaab, Maher Ala'raj
All Works
© 2020 by the authors. The current rapidly changing and highly competitive market has put companies under a great pressure towards adopting sustainable practices, in terms of keeping a healthy balance among economic, environmental and social performances. In this context, the lean-green manufacturing approach, which combines lean practices focused on customers' demand, and green practices focused on reducing the business' environmental impact, has gained popularity. Nevertheless, the lean-green manufacturing is still a relatively new practice, lacking a clear and structured research definition, and of significant evidence of successful cases in the practice. In this paper, a literature review is conducted …
Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily
Ai Techniques For Covid-19, Adedoyin Ahmed Hussain, Ouns Bouachir, Fadi Al-Turjman, Moayad Aloqaily
All Works
© 2013 IEEE. Artificial Intelligence (AI) intent is to facilitate human limits. It is getting a standpoint on human administrations, filled by the growing availability of restorative clinical data and quick progression of insightful strategies. Motivated by the need to highlight the need for employing AI in battling the COVID-19 Crisis, this survey summarizes the current state of AI applications in clinical administrations while battling COVID-19. Furthermore, we highlight the application of Big Data while understanding this virus. We also overview various intelligence techniques and methods that can be applied to various types of medical information-based pandemic. We classify the …
Machine Learning Techniques For Quantification Of Knee Segmentation From Mri, Sujeet More, Jimmy Singla, Ahed Abugabah, Ahmad Ali Alzubi
Machine Learning Techniques For Quantification Of Knee Segmentation From Mri, Sujeet More, Jimmy Singla, Ahed Abugabah, Ahmad Ali Alzubi
All Works
© 2020 Sujeet More et al. Magnetic resonance imaging (MRI) is precise and efficient for interpreting the soft and hard tissues. Moreover, for the detailed diagnosis of varied diseases such as knee rheumatoid arthritis (RA), segmentation of the knee magnetic resonance image is a challenging and complex task that has been explored broadly. However, the accuracy and reproducibility of segmentation approaches may require prior extraction of tissues from MR images. The advances in computational methods for segmentation are reliant on several parameters such as the complexity of the tissue, quality, and acquisition process involved. This review paper focuses and briefly …