Zobrazeno 1 - 10
of 8 898
pro vyhledávání: '"Data generation"'
Autor:
Mohammad Amin Razavi, A. Pouyan Nejadhashemi, Babak Majidi, Hoda S. Razavi, Josué Kpodo, Rasu Eeswaran, Ignacio Ciampitti, P.V. Vara Prasad
Publikováno v:
Artificial Intelligence in Agriculture, Vol 14, Iss , Pp 99-114 (2024)
In this study, we employ advanced data-driven techniques to investigate the complex relationships between the yields of five major crops and various geographical and spatiotemporal features in Senegal. We analyze how these features influence crop yie
Externí odkaz:
https://doaj.org/article/f35fb07613a84a0386b8d284587d2b6f
Autor:
Vasileios C. Pezoulas, Dimitrios I. Zaridis, Eugenia Mylona, Christos Androutsos, Kosmas Apostolidis, Nikolaos S. Tachos, Dimitrios I. Fotiadis
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 2892-2910 (2024)
Synthetic data generation has emerged as a promising solution to overcome the challenges which are posed by data scarcity and privacy concerns, as well as, to address the need for training artificial intelligence (AI) algorithms on unbiased data with
Externí odkaz:
https://doaj.org/article/1595553cc13b4b048a4661b05bb4ccd8
Autor:
Muhammed Halil Akpinar, Abdulkadir Sengur, Massimo Salvi, Silvia Seoni, Oliver Faust, Hasan Mir, Filippo Molinari, U. Rajendra Acharya
Publikováno v:
IEEE Open Journal of Engineering in Medicine and Biology, Vol 6, Pp 183-192 (2025)
Generative Adversarial Networks (GANs) have emerged as a powerful tool in artificial intelligence, particularly for unsupervised learning. This systematic review analyzes GAN applications in healthcare, focusing on image and signal-based studies acro
Externí odkaz:
https://doaj.org/article/08ddb280e7c04d0da76ecae3552648f9
Autor:
Divas Karimanzira
Publikováno v:
Stats, Vol 7, Iss 3, Pp 808-826 (2024)
The lack of data on flood events poses challenges in flood management. In this paper, we propose a novel approach to enhance flood-forecasting models by utilizing the capabilities of Generative Adversarial Networks (GANs) to generate synthetic flood
Externí odkaz:
https://doaj.org/article/8f62aa436bff4e3fa93bc3fccbf35506
Publikováno v:
Commodities, Vol 3, Iss 3, Pp 254-280 (2024)
The dynamic structure of electricity markets, where uncertainties abound due to, e.g., demand variations and renewable energy intermittency, poses challenges for market participants. We propose generative adversarial networks (GANs) to generate synth
Externí odkaz:
https://doaj.org/article/9af5f9b153794fc99f0f46805e97cc97
Autor:
Nadia Swanepoel, Kakoma Luneta
Publikováno v:
Perspectives in Education, Vol 42, Iss 4 (2024)
This empirical paper reports on the development of a professional development initiative, namely the word sum-wheel, which teachers developed collaboratively. The study’s objective was to determine how teachers’ mathematics word problem-solving i
Externí odkaz:
https://doaj.org/article/df3660f9f1c74c64ac2748e92773d853
Publikováno v:
SoftwareX, Vol 28, Iss , Pp 101936- (2024)
In this paper we present a Blender add-on named LFG that allows for easy, large and realistic, 3D model LandFill Generation. Large datasets of vast, diverse synthetic landfills are hard to come by, and greatly in need for the purposes of developing a
Externí odkaz:
https://doaj.org/article/513c3e74ff4546628493128a1e985529
Autor:
Charlotte Jamotton, Donatien Hainaut
Publikováno v:
Intelligent Systems with Applications, Vol 24, Iss , Pp 200455- (2024)
This article explores the application of Variational AutoEncoders (VAEs) to insurance data. Previous research has demonstrated the successful implementation of generative models, especially VAEs, across various domains, such as image recognition, tex
Externí odkaz:
https://doaj.org/article/a7dc249cff694ebda650880954d12a41
Publikováno v:
International Journal of Qualitative Studies on Health & Well-Being, Vol 19, Iss 1 (2024)
Purpose To describe how Qualitative Meaning Analysis (QMA), based on a lifeworld theoretical approach, can be made accessible to students and researchers not well-versed in the philosophy of science or qualitative research. Additionally, to demonstra
Externí odkaz:
https://doaj.org/article/01ccaeebbba541339cfe303883b625a2
Publikováno v:
Communications in Transportation Research, Vol 4, Iss , Pp 100128- (2024)
Nowadays, electric vehicles (EVs) are increasingly equipped with advanced onboard devices capable of collecting and recording real-time charging data. The analysis of such data from a large-scale EV fleet plays a crucial role in supporting decision-m
Externí odkaz:
https://doaj.org/article/7db82def10e04f01a46e0d29bf902190