Zobrazeno 1 - 10
of 2 802
pro vyhledávání: '"Ensemble Methods"'
Autor:
Shilbayeh, Samar, Grassa, Rihab
Publikováno v:
International Journal of Islamic and Middle Eastern Finance and Management, 2024, Vol. 17, Issue 2, pp. 345-365.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IMEFM-02-2023-0057
Publikováno v:
Alexandria Engineering Journal, Vol 107, Iss , Pp 150-164 (2024)
Since asphalt pavement bleeding and raveling are significant threats to road safety, comfort, and service life, timely and accurate detection of them is desirable and cost-effective to develop pavement maintenance programs. Moreover, due to the fact
Externí odkaz:
https://doaj.org/article/fecc8b141a5044a39a27ddaa2d8d0838
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This research proposes a novel, three-tier AI-based scheme for the allocation of carbon–neutral mobility hubs. Initially, it identified optimal sites using a genetic algorithm, which optimized travel times and achieved a high fitness value
Externí odkaz:
https://doaj.org/article/7c1e2d9a111c4c8cb819f3b3b22d8af1
Autor:
Syed Taimoor Hussain Shah, Syed Adil Hussain Shah, Iqra Iqbal Khan, Atif Imran, Syed Baqir Hussain Shah, Atif Mehmood, Shahzad Ahmad Qureshi, Mudassar Raza, Angelo Di Terlizzi, Marco Cavaglià, Marco Agostino Deriu
Publikováno v:
Frontiers in Big Data, Vol 7 (2024)
Detecting lung diseases in medical images can be quite challenging for radiologists. In some cases, even experienced experts may struggle with accurately diagnosing chest diseases, leading to potential inaccuracies due to complex or unseen biomarkers
Externí odkaz:
https://doaj.org/article/8f90de64a5c949b382b85908a2d6a521
Publikováno v:
International Journal of Economics and Financial Issues, Vol 14, Iss 5 (2024)
This study demonstrates the effectiveness of advanced machine learning techniques in detecting fraudulent activities within the banking industry. We evaluated the performance of various models, including LightGBM, XGBoost, CatBoost, vote classifiers,
Externí odkaz:
https://doaj.org/article/fdc6ae89e8b0428e85dbead20f3ec54d
Autor:
Moyses Nascimento, Ana Carolina Campana Nascimento, Camila Ferreira Azevedo, Antonio Carlos Baiao de Oliveira, Eveline Teixeira Caixeta, Diego Jarquin
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Coffee Breeding programs have traditionally relied on observing plant characteristics over years, a slow and costly process. Genomic selection (GS) offers a DNA-based alternative for faster selection of superior cultivars. Stacking Ensemble Learning
Externí odkaz:
https://doaj.org/article/c8f3670d077649e9836a9c33a37a42fd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The recent developments in quantum technology have opened up new opportunities for machine learning algorithms to assist the healthcare industry in diagnosing complex health disorders, such as heart disease. In this work, we summarize the ef
Externí odkaz:
https://doaj.org/article/3d6f01300b11403992a1aa174b57cb15
Publikováno v:
Journal of Cheminformatics, Vol 16, Iss 1, Pp 1-17 (2024)
Abstract Kinetic process models are widely applied in science and engineering, including atmospheric, physiological and technical chemistry, reactor design, or process optimization. These models rely on numerous kinetic parameters such as reaction ra
Externí odkaz:
https://doaj.org/article/e0f7c4993e9a48be82023ddcb1e6af38
Autor:
Sangjae Lee, Joon Yeon Choeh
Publikováno v:
Data Science in Finance and Economics, Vol 4, Iss 1, Pp 65-82 (2024)
Previous studies have extensively investigated the effects of online word-of-mouth (eWOM) factors such as volume and valence on product sales. However, studies of the effect of eWOM factors on product prices are lacking. It is necessary to examine ho
Externí odkaz:
https://doaj.org/article/8db26cef98d340cca6baef9f98bd27fe
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-27 (2024)
Abstract Background Genome-wide association studies have successfully identified genetic variants associated with human disease. Various statistical approaches based on penalized and machine learning methods have recently been proposed for disease pr
Externí odkaz:
https://doaj.org/article/cbfe60f1785c402bae0e11d76f409ba7