Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Simon S Woo"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-8 (2024)
Abstract Chimeric antigen receptor T-cell (CAR-T) therapies are a paradigm-shifting therapeutic in patients with hematological malignancies. However, some concerns remain that they may cause serious cardiovascular adverse events (AEs), for which data
Externí odkaz:
https://doaj.org/article/5e13f0986b794fe19764065c35a33fc9
Publikováno v:
IEEE Access, Vol 11, Pp 137138-137150 (2023)
Feature learning is a widely used method for large-scale face recognition tasks. Recently, large-margin softmax loss methods have demonstrated significant improvements in deep face recognition. However, these methods typically propose fixed positive
Externí odkaz:
https://doaj.org/article/a815777058f44bbc93b692ffc9677f44
Publikováno v:
IEEE Access, Vol 11, Pp 65266-65276 (2023)
Contrastive learning methods have been widely adopted in numerous unsupervised and self-supervised visual representation learning methods. Such algorithms aim to maximize the cosine similarity between two positive samples while minimizing that of the
Externí odkaz:
https://doaj.org/article/e2666845ff30467e857ea8fa9408bf2c
Publikováno v:
IEEE Access, Vol 10, Pp 20118-20134 (2022)
Significant advancements and progress made in recent computer vision research enable more effective processing of various objects in high-resolution overhead imagery obtained by various sources from drones, airplanes, and satellites. In particular, o
Externí odkaz:
https://doaj.org/article/c02617ec84174a65b2bc131d1df89f55
Publikováno v:
IEEE Access, Vol 9, Pp 79477-79490 (2021)
Since the GDPR was implemented in 2018, organizations that collect data from the EU residents are required to receive the user’s consent. Organizational measures to ensure that the organizations are compliant to the recently enacted GDPR are still
Externí odkaz:
https://doaj.org/article/940b153e871f403785787d67829126b5
Publikováno v:
IEEE Access, Vol 9, Pp 22894-22913 (2021)
Decentralized identifiers (DID) has shown great potential for sharing user identities across different domains and services without compromising user privacy. DID is designed to enable the minimum disclosure of the proof from a user’s credentials o
Externí odkaz:
https://doaj.org/article/24c5efb2eeb047a186c2285e8322aefb
Autor:
Dan Zhang, Simon S. Woo
Publikováno v:
IEEE Access, Vol 8, Pp 89584-89594 (2020)
Air pollution and its harm to human health has become a serious problem in many cities around the world. In recent years, research interests in measuring and predicting the quality of air around people has spiked. Since the Internet of Things (IoT) h
Externí odkaz:
https://doaj.org/article/0700d8a29c7e424cad2832856a641576
You Walk, We Authenticate: Lightweight Seamless Authentication Based on Gait in Wearable IoT Systems
Publikováno v:
IEEE Access, Vol 7, Pp 37883-37895 (2019)
With a plethora of wearable IoT devices available today, we can easily monitor human activities, many of which are unconscious or subconscious. Interestingly, some of these activities exhibit distinct patterns for each individual, which can provide a
Externí odkaz:
https://doaj.org/article/6c1c5da54081422fbc06f7a65dbb074c
Publikováno v:
Computer. 56:51-61
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a60a93562e5feb1f45612985c98ba687
https://doi.org/10.1109/mc.2023.3234978
https://doi.org/10.1109/mc.2023.3234978
Publikováno v:
Pattern Recognition Letters. 165:1-8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a62826ad31ad5b5b74afbe6b43a60d9c
https://doi.org/10.1016/j.patrec.2022.11.020
https://doi.org/10.1016/j.patrec.2022.11.020