Issues regarding balancing the dataset by using GANs[63].

Issues regarding balancing the dataset by using GANs[63].

<p>Issues regarding balancing the dataset by using GANs[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0331019#pone.0331019.ref063" target="_blank">63</a>].</p>

محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Syed Zubair Ahmad (22311757) (author)
مؤلفون آخرون: Farhan Qamar (22311760) (author), Hamdan Alshehri (22311763) (author), Fathe Jeribi (19106500) (author), Ali Tahir (4342723) (author), Shams Tabrez Siddiqui (22311766) (author), Jayabrabu Ramakrishnan (20591170) (author)
منشور في: 2025
الموضوعات:
Biotechnology
Space Science
Biological Sciences not elsewhere classified
Information Systems not elsewhere classified
skewed datasets prevalent
reduces training time
message passing interface
limited computing capacity
large data volumes
including disaster recovery
heterogeneous communication technologies
experimental evaluations demonstrate
central highperformance computing
generative adversarial networks
convolutional neural networks
time security operations
time anomaly detection
dynamic defense mechanism
huge iot data
based distributed environments
contemporary iot networks
based iot scenarios
becoming increasingly critical
hpc system via
networks based
enhancing security
discriminator mechanism
critical applications
accurate detection
iot systems
based approach
various risks
thereby addressing
study highlights
secure transmission
scales well
research proposes
remote sensing
provide fast
primary one
maximize efficiency
hpc cloud
highly suitable
envisaged solution
environmental surveillance
enabled gpus
either benign
deep learning
cybersecurity research
confidential information
computationally expensive
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