Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Azlan Ismail"'
Autor:
Huanhuan Hou, Azlan Ismail
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 8, Pp 102177- (2024)
The huge energy consumption of data centers in cloud computing leads to increased operating costs and high carbon emissions to the environment. Deep Reinforcement Learning (DRL) technology combines of deep learning and reinforcement learning, which h
Externí odkaz:
https://doaj.org/article/061e0b68c2f146ca9e4efd7252ce1829
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 11, Iss 1, Pp 1-19 (2022)
Abstract Cloud failure is one of the critical issues since it can cost millions of dollars to cloud service providers, in addition to the loss of productivity suffered by industrial users. Fault tolerance management is the key approach to address thi
Externí odkaz:
https://doaj.org/article/104952ce534d4e87a94dfbee31d2bfec
Publikováno v:
Applied Medical Informatics, Vol 40, Iss 3-4 (2018)
Chest X-Rays image classification is an active research area in medical image analysis as well as computer-aided diagnosis for radiology. The main goal is to improve the quality and productivity of radiologists’ task by providing a computer system
Externí odkaz:
https://doaj.org/article/4e28f7d255c54f06b28165d19d7f9d74
Autor:
Yap Bee Wah, Azlan Ismail, Nur Niswah Naslina Azid, Jafreezal Jaafar, Izzatdin Abdul Aziz, Mohd Hilmi Hasan, Jasni Mohamad Zain
Publikováno v:
Computers, Materials & Continua. 75:4821-4841
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f7130906d9070a366e1e678994ded7b
https://doi.org/10.32604/cmc.2023.034470
https://doi.org/10.32604/cmc.2023.034470
Publikováno v:
Software: Practice and Experience. 52:2476-2495
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c23d43c53a800be6b8df771f45a032c
https://doi.org/10.1002/spe.3135
https://doi.org/10.1002/spe.3135
The popularity of serverless computing has been fueled by its operational simplicity, pay-per-use pricing model, and the ability to autoscale. However, there is a lack of comprehensive reviews that focus on the autoscaling context in serverless compu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb4c093e0bf397e42ee939e72a4bf13c
https://doi.org/10.21203/rs.3.rs-2897886/v1
https://doi.org/10.21203/rs.3.rs-2897886/v1
Autor:
Siti Nuraishah Agos Jawaddi, Muhammad Nur Haziq Mohammad Hatta, Anis Faqihah Kamarulzaman, Azlan Ismail
Cloud scaling plays a critical role in fulfilling the resource requirements of web-based enterprises. Nevertheless, current autoscaler implementations primarily operate reactively, triggering scaling actions based on predetermined thresholds. This ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3eb6c7ed0cd52c250b11cf897231fb0
https://doi.org/10.21203/rs.3.rs-2913977/v1
https://doi.org/10.21203/rs.3.rs-2913977/v1
Autor:
Maryon Eliza Matius, Mohd Azlan Ismail, Adriana Erica Amaludin, Yan Yan Farm, Mohd Adzrie Radzali, Ahmad Fazlizan, Wan Khairul Muzammil
Publikováno v:
Energy Engineering. 119:1361-1377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63ab3cc48360c5581bc8add68584bafd
https://doi.org/10.32604/ee.2022.019497
https://doi.org/10.32604/ee.2022.019497
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b259473e34b20fd687c4fd9149e390ea
https://doi.org/10.21203/rs.3.rs-2076916/v1
https://doi.org/10.21203/rs.3.rs-2076916/v1