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Rasha Subhi Ali
ORCID
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 8
Top Topics
Real Time
Encryption Decryption
Deep Learning
Weakly Supervised
Top Venues
Multim. Tools Appl.
Comput. Intell.
J. Exp. Theor. Artif. Intell.
IEEE Access
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Publications
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Kshitiz Shrestha
,
Omar Hisham Alsadoon
,
Abeer Alsadoon
,
Tarik A. Rashid
,
Rasha Subhi Ali
,
P. W. C. Prasad
,
Oday D. Jerew
A novel solution of an elastic net regularisation for dementia knowledge discovery using deep learning.
J. Exp. Theor. Artif. Intell.
35 (6) (2023)
Ashu Thapa
,
Abeer Alsadoon
,
P. W. C. Prasad
,
Simi Bajaj
,
Omar Hisham Alsadoon
,
Tarik A. Rashid
,
Rasha Subhi Ali
,
Oday D. Jerew
Deep learning for breast cancer classification: Enhanced tangent function.
Comput. Intell.
38 (2) (2022)
Binod Chapagain
,
Abeer Alsadoon
,
P. W. C. Prasad
,
Rasha Subhi Ali
,
Linh Pham
A novel solution for real time video and path quality, and latency minimization: tele-training in surgical education.
Multim. Tools Appl.
80 (6) (2021)
Binu Bakhati
,
Abeer Alsadoon
,
P. W. C. Prasad
,
Rasha Subhi Ali
,
Omar Hisham Alsadoon
Modified quality video: transmission control protocol (TCP) friendly for controlling a congestion.
Multim. Tools Appl.
80 (14) (2021)
Aabha Neupane
,
Abeer Alsadoon
,
P. W. C. Prasad
,
Rasha Subhi Ali
,
Sami Haddad
A novel Modified Chaotic Simplified Advanced Encryption System (MCS-AES): mixed reality for a secure surgical tele-presence.
Multim. Tools Appl.
79 (39-40) (2020)
Nitesh Parajuli
,
Abeer Alsadoon
,
P. W. C. Prasad
,
Rasha Subhi Ali
,
Omar Hisham Alsadoon
A recent review and a taxonomy for multimedia application in Mobile cloud computing based energy efficient transmission.
Multim. Tools Appl.
79 (41-42) (2020)
Alaa Kadhim Farhan
,
Rasha Subhi Ali
,
Hayder Natiq
,
Nadia M. G. Al-Saidi
A New S-Box Generation Algorithm Based on Multistability Behavior of a Plasma Perturbation Model.
IEEE Access
7 (2019)
P. Lingden
,
Abeer Alsadoon
,
P. W. C. Prasad
,
Omar Hisham Alsadoon
,
Rasha Subhi Ali
,
Vinh Tran Quoc Nguyen
A novel modified undersampling (MUS) technique for software defect prediction.
Comput. Intell.
35 (4) (2019)