Výsledky vyhledávání - "Tabular generative adversarial network"

A generative adversarial network enhanced ensemble learning-based prediction model for moment improvement effect of UHPC strengthened damaged RC beams

Autoři: Taffese, Woubishet Zewdu Khodadadi, Nima Zhu, Yanping a další

Zdroj: Case Studies in Construction Materials. 23

Témata: 4005 Civil Engineering (for-2020), 40 Engineering (for-2020), Machine Learning and Artificial Intelligence (rcdc), Reinforced concrete structures, Ultra high-performance concrete, Tabular generative adversarial network, Ensemble learning, SHapley Additive exPlanations, 4005 Civil engineering (for-2020)

Popis souboru: application/pdf

Přístupová URL adresa: https://escholarship.org/uc/item/20q4z16q
https://escholarship.org/content/qt20q4z16q/qt20q4z16q.pdf

A multitask active transfer learning-based load shedding using a hybrid graph convolutional network–transformer model for transient stability control in power systems with missing data and unseen faults

Autoři: Nazanin Pourmoradi Mohammad Taghi Ameli Sasan Azad

Zdroj: Results in Engineering, Vol 27, Iss , Pp 106952- (2025)

Témata: Emergency load shedding, Graph convolutional network, Conditional tabular generative adversarial network, Multitask learning, Active transfer learning, Missing data, Technology

Popis souboru: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2590123025030099; https://doaj.org/toc/2590-1230

Přístupová URL adresa: https://doaj.org/article/8a8d41524f3a4a0799635bae9f8462ef

HS-CGK: A Hybrid Sampling Method for Imbalance Data Based on Conditional Tabular Generative Adversarial Network and K-Nearest Neighbor Algorithm

Autoři: Zhao, Xiaoyan Guan, Shaopeng Xue, Yuewei a další

Zdroj: COMPUTING AND INFORMATICS; Vol. 43 No. 1 (2024): Computing and Informatics; 213–239

Témata: conditional tabular generative adversarial network, hybrid sampling, Imbalanced Data Classification, 0202 electrical engineering, electronic engineering, information engineering, Deep learning, Imbalanced data, 02 engineering and technology, K-nearest neighbor algorithm, class overlap

Popis souboru: application/pdf

Přístupová URL adresa: https://www.cai.sk/ojs/index.php/cai/article/view/2024_1_213

Enhanced Intrusion Detection Using Conditional-Tabular-Generative-Adversarial-Network-Augmented Data and a Convolutional Neural Network: A Robust Approach to Addressing Imbalanced Cybersecurity Datasets

Autoři: Shridhar Allagi Toralkar Pawan Wai Yie Leong

Zdroj: Mathematics, Vol 13, Iss 12, p 1923 (2025)

Témata: intrusion detection, synthetic minority oversampling technique (SMOTE), conditional tabular generative adversarial network (CTGAN), convolutional neural network (CNN), Mathematics, QA1-939

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2227-7390/13/12/1923; https://doaj.org/toc/2227-7390

Přístupová URL adresa: https://doaj.org/article/c2b1593f885e4890bee462f013e0e0a5

CTCN: a novel credit card fraud detection method based on Conditional Tabular Generative Adversarial Networks and Temporal Convolutional Network

Autoři: Xiaoyan Zhao Shaopeng Guan

Zdroj: PeerJ Computer Science, Vol 9, p e1634 (2023)

Témata: Credit card fraud detection, Neighborhood cleaning rule, Conditional tabular generative adversarial network, Temporal convolutional network, Electronic computers. Computer science, QA75.5-76.95

Popis souboru: electronic resource

Relation: https://peerj.com/articles/cs-1634.pdf; https://peerj.com/articles/cs-1634/; https://doaj.org/toc/2376-5992

Přístupová URL adresa: https://doaj.org/article/bae209b6103244f98508e60bcb0dbc7a

Conditional Tabular Generative Adversarial Based Intrusion Detection System for Detecting Ddos and Dos Attacks on the Internet of Things Networks

Autoři: Basim Ahmad Alabsi Mohammed Anbar Shaza Dawood Ahmed Rihan

Zdroj: Sensors, Vol 23, Iss 12, p 5644 (2023)

Témata: internet of things, distributed denial of service, denial of service, intrusion detection system, conditional tabular generative adversarial network, Chemical technology, TP1-1185

Relation: https://www.mdpi.com/1424-8220/23/12/5644; https://doaj.org/toc/1424-8220; https://doaj.org/article/e3b106bc586f46e48a96fae33004ee25

Dostupnost: https://doi.org/10.3390/s23125644
https://doaj.org/article/e3b106bc586f46e48a96fae33004ee25

PregAN-NET: Addressing Class Imbalance with GANs in Interpretable Computational Framework for Predicting Safety Profile of Drugs Considering Adverse Reactions During Pregnancy.

Autoři: Chaurasia A Kumar D Yogita

Zdroj: Journal of biomedical informatics [J Biomed Inform] 2025 Jun; Vol. 166, pp. 104832. Date of Electronic Publication: 2025 Apr 28.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Elsevier Country of Publication: United States NLM ID: 100970413 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-0480 (Electronic) Linking ISSN: 15320464 NLM ISO Abbreviation: J Biomed Inform Subsets: MEDLINE

Výrazy ze slovníku MeSH: Drug-Related Side Effects and Adverse Reactions* , Neural Networks, Computer* , Pregnancy Complications*, Pregnancy ; Female ; Humans ; Computational Biology/methods ; Machine Learning ; Algorithms

How Useful Is Synthetic Data in Developing Predictive Models for Health?

Autoři: Basri MA Chen H

Zdroj: Studies in health technology and informatics [Stud Health Technol Inform] 2025 May 15; Vol. 327, pp. 552-556.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE

Výrazy ze slovníku MeSH: Machine Learning* , Electronic Health Records* , Artificial Intelligence*, Humans