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61

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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62

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)

data collection deep learning generative adversarial n... image processing leaf herbivore damage Ecology …
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63

Generative adversarial network image synthesis method for skin lesion generation and classification.
Mutepfe, Freedom ; Kalejahi, Behnam ; Meshgini, Saeed ; et al.
Journal of Medical Signals & Sensors. Oct-Dec2021, Vol. 11 Issue 4, p237-252. 16p.

GENERATIVE adversarial n... DEEP learning DISEASE risk factors PYTHON programming langu... RECEIVER operating chara... EARLY diagnosis
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64

Analysis of the Potential Application of GenAI in Supply Chain Optimization Technology
Li, Zhenhuan
Proceedings of the 2025 International Conference on Generative Artificial Intelligence for Business. :299-304

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65

Generativna umjetnost u programskom jeziku Python ; Generative art in the Python programming language
Šanovsky, Nikolina ; Miličević, Mario

generativna umjetnost Python Processing TensorFlow duboko učenje generative art …
Dissertation
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66

arfpy: A python package for density estimation and generative modeling with adversarial random forests
Blesch, Kristin ; Wright, Marvin N.

Statistics - Machine Lea... Computer Science - Machi...
Report
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67

Latte: Cross-framework Python package for evaluation of latent-based generative models
Watcharasupat, Karn N. ; Lee, Junyoung ; Lerch, Alexander
In Software Impacts February 2022 11

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68

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

rescience c machine learning deep learning python pytorch reproducibility …
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69

Flood Identification Model Design with Deep Learning
Lee, Jung-Hoon ; Kim, Kyeongrok ; Kim, Jae-Hyun
2021 7th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR) Synthetic Aperture Radar (APSAR), 2021 7th Asia-Pacific Conference on. :1-4 Nov, 2021

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70

EV Charging Station Management using Model Predictive Control and Generative Adversarial Variational Autoencoders
Sekhar, P. Chandra ; G, Harinath. ; K, Mujahid ; et al.
2025 3rd International Conference on Data Science and Information System (ICDSIS) Data Science and Information System (ICDSIS), 2025 3rd International Conference on. :1-6 May, 2025

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71

Enhancing Organizational Performance with Generative Artificial Intelligence: A Deep Learning Approach for Workplace Innovation.
Alghamdi, Saleh
Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ). Aug2025, p1-21.

GENERATIVE artificial in... ORGANIZATIONAL performan... ARTIFICIAL neural networ... FEATURE selection INDUSTRIAL efficiency ORGANIZATIONAL change …
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72

Privacy Enhanced Federated Learning Utilizing Differential Privacy and Interplanetary File System
Kim, Hyowon ; Doh, Inshil
2023 International Conference on Information Networking (ICOIN) Information Networking (ICOIN), 2023 International Conference on. :312-317 Jan, 2023

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73

Unsupervised Root Cause Analysis Using Twin Attentional‐Generative Adversarial and Walrus‐Based Deep Coupling Recurrent Autoencoder.
Prabhakar, T. S. ; Veena, M. N.
International Journal of Communication Systems; Oct2025, Vol. 38 Issue 15, p1-20, 20p

ROOT cause analysis LONG-Term Evolution (Tel... FAULT diagnosis PATTERN perception DEEP learning GENERATIVE adversarial n... …
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74

Enhancing MRI diagnosis of myocarditis using deep learning and generative adversarial networks
Gui, Haifeng ; Zhang, Na
Applied Mathematics and Nonlinear Sciences ; volume 10, issue 1 ; ISSN 2444-8656

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76

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77

Toward sustainable production: a synthetic dataset framework to accelerate quality control via generative and predictive AI.
Shahin, Mohammad ; Chen, F. Frank ; Maghanaki, Mazdak ; et al.
International Journal of Advanced Manufacturing Technology. Jun2025, Vol. 138 Issue 11, p5979-6018. 40p.

ARTIFICIAL intelligence GENERATIVE artificial in... CONVOLUTIONAL neural net... SUSTAINABILITY WASTE minimization
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78

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 (10220038). Jan2025, Vol. 31 Issue 1, p299-313. 15p.

GENERATIVE adversarial n... PLANT diseases CROP management DEEP learning PLANT identification
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79

Pioneering AI in Chemical Data: New Frontline With GC- MS Generation
Yoon, Namkyung ; Kim, Hwangnam
2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) Artificial Intelligence in Information and Communication (ICAIIC), 2024 International Conference on. :826-831 Feb, 2024

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80

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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