Showing 21 - 40 of 781

21

Vulnerabilities and Security Patches Detection in OSS: A Survey.
Lin, Ruyan ; Fu, Yulong ; Yi, Wei ; et al.
ACM Computing Surveys; Jan2025, Vol. 57 Issue 1, p1-37, 37p

LANGUAGE models ARTIFICIAL neural networ... GRAPH neural networks GENERATIVE pre-trained t... DATA structures DEEP learning
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22

Deep learning‐ and image processing‐based methods for automatic estimation of leaf herbivore damage
Zihui Wang ; Yuan Jiang ; Abdoulaye Baniré Diallo ; et al.
Methods in Ecology and Evolution, Vol 15, Iss 4, Pp 732-743 (2024)

0106 biological sciences 0301 basic medicine data collection Ecology Evolution generative adversarial n...
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23

An Internet of Things‐Based Wireless Sensor Network Secure Routing and Monitoring System Using Deep Learning With Hybrid Optimization.
S, Uma Maheswari ; D, Kalaivani ; Praveena, S. ; et al.
International Journal of Communication Systems; 9/25/2025, Vol. 38 Issue 14, p1-18, 18p

INTERNET of things WIRELESS sensor networks GENERATIVE adversarial n... DATA encryption MATHEMATICAL optimizatio... COMPUTER network securit...
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24

Unsupervised Graph-GAN model for stress–strain field prediction in a composite.
Sahu, Ratanlal ; Gupta, Antrakrate ; Mittal, Divyansh ; et al.
Journal of Materials Science. Apr2025, Vol. 60 Issue 13, p5795-5814. 20p.

GENERATIVE adversarial n... DEEP learning ARTIFICIAL intelligence MATERIALS science CONFORMAL geometry
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25

[Re] Counterfactual Generative Networks
Ankit, Ankit ; Ambekar, Sameer ; Varadharajan, Baradwaj ; et al.

python machine learning rescience c deep learning pytorc deep generative m... counterfactuals
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26

Generiranje slika uvjetnim generativnim suparničkim mrežama
Knežević, Petar ; Hrkać, Tomislav

TEHNIČKE ZNANOSTI. Račun... deep learning uvjetne generativne supa... CGAN neuron networks generativne suparničke m...
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27

Generiranje slika uvjetnim generativnim suparničkim mrežama ; Generating Images Using Conditional Generative Adversarial Networks
Knežević, Petar ; Hrkać, Tomislav

generativne suparničke m... GAN uvjetne generativne supa... CGAN generiranje slika duboko učenje
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28

Voiceprint revolution: a self-attention augmented Wasserstein generative adversarial network with hybrid frilled Lizard Humboldt squid optimization framework for speaker recognition
Kumar, T. Rajesh ; Karthikeyan, C. ; Kumar, E. Rajesh ; et al.
Analog Integrated Circuits and Signal Processing: An International Journal. 126(1)

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29

Ascle—A Python Natural Language Processing Toolkit for Medical Text Generation: Development and Evaluation Study.
Yang, Rui ; Zeng, Qingcheng ; You, Keen ; et al.
Journal of Medical Internet Research. 2024, Vol. 26, p1-14. 14p.

Machine learning Natural language process... Machine translating Generative artificial in... Language models
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30

Enhanced conditional self-attention generative adversarial network for detecting cotton plant disease in IoT-enabled crop management
Paul Joshua, K. ; Alex, Sini Anna ; Mageswari, M. ; et al.
Wireless Networks: The Journal of Mobile Communication, Computation and Information. 31(1):299-313

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31

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32

Cancer MiRNA biomarker classification based on Improved Generative Adversarial Network optimized with Mayfly Optimization Algorithm
Tamilmani, G. ; Devi, V. Brindha ; Sujithra, T. ; et al.
In Biomedical Signal Processing and Control May 2022 75

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33

AI-Driven Optimization of Functional Feature Placement in Automotive CAD.
Kelmendi, Ardian ; Pappas, George
Algorithms; Sep2025, Vol. 18 Issue 9, p553, 17p

GENERATIVE artificial in... COMPUTER-aided design so... PRODUCT design THREE-dimensional modeli... MOTOR vehicles ARTIFICIAL intelligence
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34

MotGen: a closed-loop bacterial motility control framework using generative adversarial networks.
Seo, BoGeum ; Lee, DoHee ; Jeon, Heungjin ; et al.
Bioinformatics. Apr2024, Vol. 40 Issue 4, p1-11. 11p.

GENERATIVE adversarial n... DEEP learning CELL imaging REAL-time control MACHINE learning IMAGE analysis
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35

RockDisc-Gen: A python software package for rock discontinuity generation
Yujie Su ; Hong Gao ; Han Meng ; et al.
SoftwareX, Vol 32, Iss , Pp 102369- (2025)

Rock discontinuity gener... Deep learning Monte Carlo method Computer software QA76.75-76.765
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37

arfpy: A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests
Kristin Blesch ; Marvin N. Wright
Journal of Open Research Software, Vol 12, Iss 1, Pp 7-7 (2024)
Blesch, K & Wright, M N 2024, ' arfpy : A Python Package for Density Estimation and Generative Modeling with Adversarial Random Forests ', Journal of Open Research Software, vol. 12, no. 1, 7 . https://doi.org/10.5334/jors.492
Journal of Open Research Software, 12:7

FOS: Computer and inform... Computer Science - Machi... generative modeling Bremen data generation Machine Learning (stat.M...
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38

Detection of real-time deep fakes and face forgery in video conferencing employing generative adversarial networks
Sharma, Sunil Kumar ; AlEnizi, Abdullah ; Kumar, Manoj ; et al.
In Heliyon 15 September 2024 10(17)

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39

Advancing AI-driven thematic analysis in qualitative research: a comparative study of nine generative models on Cutaneous Leishmaniasis data.
Bennis, Issam ; Mouwafaq, Safwane
BMC Medical Informatics & Decision Making; 3/10/2025, Vol. 25 Issue 1, p1-14, 14p

GENERATIVE artificial in... LANGUAGE models NATURAL language process... CUTANEOUS leishmaniasis ARTIFICIAL intelligence DEEP learning
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40

[Re] Replication Study of DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks
Shulev, Velizar ; Verhagen, Paul ; Wang, Shuai ; et al.

python machine learning rescience c pytorch deep learning causal graphs
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