Zobrazeno 1 - 10
of 203
pro vyhledávání: '"SEONG OUN HWANG"'
Autor:
Abdul Majeed, Seong Oun Hwang
Publikováno v:
IEEE Access, Vol 12, Pp 181953-181974 (2024)
In the modern era, personal data published by data owners play a vital role in decision-making, resource allocation, disease mitigation, and/or epidemiological analysis. However, if the published data do not truly reflect the characteristics of the u
Externí odkaz:
https://doaj.org/article/09e695b1ae19428e86ab7ee9dff2f67c
Publikováno v:
IEEE Access, Vol 12, Pp 181351-181361 (2024)
This paper demonstrates an efficient and flexible hardware accelerator for polynomial multiplication using number theoretic transform (NTT). The proposed architecture considers flexibility and performance requirements at the same time. Flexibility is
Externí odkaz:
https://doaj.org/article/5a311fda19d94a78a8c06713b4c617b6
Publikováno v:
IEEE Access, Vol 12, Pp 87923-87933 (2024)
Mild cognitive impairment (MCI) is an early stage of Alzheimer’s disease (AD), which is currently incurable. Early diagnosis of AD is essential for effective intervention since the World Alzheimer’s Report 2015 predicted the number of cases will
Externí odkaz:
https://doaj.org/article/e5d8c75bf8614ad59afc5b705915ac9b
Publikováno v:
IEEE Access, Vol 12, Pp 85150-85164 (2024)
In an era marked by escalating data breaches and the emergence of quantum computing, ensuring robust data security is paramount. This study introduces an innovative image encryption scheme that employs billiard quantum chaos in conjunction with the F
Externí odkaz:
https://doaj.org/article/5ee0c916244c4d52a25310b22b456f45
Autor:
Abdul Majeed, Seong Oun Hwang
Publikováno v:
IEEE Access, Vol 12, Pp 84643-84679 (2024)
Federated learning (FL) is considered a de facto standard for privacy preservation in AI environments because it does not require data to be aggregated in some central place to train an AI model. Preserving data on the client side and sharing only th
Externí odkaz:
https://doaj.org/article/90dda5207b0a4167b1d079c28539b60a
Autor:
Abdul Majeed, Seong Oun Hwang
Publikováno v:
Applied System Innovation, Vol 7, Iss 4, p 54 (2024)
Data-centric artificial intelligence (DC-AI) is a modern paradigm that gives more priority to data quality enhancement, rather than only optimizing the complex codes of AI models. The DC-AI paradigm is expected to substantially advance the status of
Externí odkaz:
https://doaj.org/article/4f06d32dc02c49ecbdb44f1b12424ea6
Autor:
Seong Oun Hwang, Abdul Majeed
Publikováno v:
Applied Sciences, Vol 14, Iss 10, p 4100 (2024)
Federated learning (FL) has emerged as one of the de-facto privacy-preserving paradigms that can effectively work with decentralized data sources (e.g., hospitals) without acquiring any private data. Recently, applications of FL have vastly expanded
Externí odkaz:
https://doaj.org/article/4de1f2bba87a472f92f281c9308bbdd5
Publikováno v:
IEEE Access, Vol 11, Pp 124139-124149 (2023)
The Tor network, renowned for its provision of online privacy and anonymity, faces the constant threat of correlation attacks that aim to compromise user identities. For almost two decades, these correlation attacks were based on statistical methods.
Externí odkaz:
https://doaj.org/article/11717a979ce042c9a5e9bc874b3148b6
Autor:
Abdul Majeed, Seong Oun Hwang
Publikováno v:
IEEE Access, Vol 11, Pp 85878-85899 (2023)
This paper proposes a novel data augmentation scheme called the conditional generative adversarial network minority-class-augmented oversampling scheme (CTGAN-MOS) for solving class imbalance problems. Our methodology encompassed six key steps: data
Externí odkaz:
https://doaj.org/article/1a0824b02d3a4f27b3a697ec287a10a7
Autor:
Abdul Majeed, Seong Oun Hwang
Publikováno v:
IEEE Access, Vol 11, Pp 76177-76195 (2023)
Artificial intelligence (AI) is a transformative technology with a substantial number of practical applications in commercial sectors such as healthcare, finance, aviation, and smart cities. AI also has strong synergy with the information privacy (IP
Externí odkaz:
https://doaj.org/article/94278554bb4d47218cb3446c9704a778