Zobrazeno 1 - 10
of 8 247
pro vyhledávání: '"Ali, T."'
We investigate feature selection problem for generic machine learning (ML) models. We introduce a novel framework that selects features considering the predictions of the model. Our framework innovates by using a novel feature masking approach to eli
Externí odkaz:
http://arxiv.org/abs/2401.12644
We study the problem of feature selection in general machine learning (ML) context, which is one of the most critical subjects in the field. Although, there exist many feature selection methods, however, these methods face challenges such as scalabil
Externí odkaz:
http://arxiv.org/abs/2401.11250
We introduce a novel ensemble approach for feature selection based on hierarchical stacking for non-stationarity and/or a limited number of samples with a large number of features. Our approach exploits the co-dependency between features using a hier
Externí odkaz:
http://arxiv.org/abs/2310.17544
Autor:
Abdallah, Ali T.1,2,3,4 (AUTHOR), Konermann, Anna5 (AUTHOR) konermann@uni-bonn.de
Publikováno v:
International Journal of Molecular Sciences. Jun2024, Vol. 25 Issue 11, p5617. 21p.
Autor:
Abdallah, Ali T.1,2,3 (AUTHOR) ali.abdallah@uni-koeln.de, Peitz, Michael4 (AUTHOR), Konermann, Anna5 (AUTHOR) konermann@uni-bonn.de
Publikováno v:
International Journal of Molecular Sciences. May2024, Vol. 25 Issue 9, p4731. 19p.
Publikováno v:
IEEE Access, Vol 12, Pp 79699-79713 (2024)
The market for electric vehicles has been gradually increasing. Despite several advantages, incorporating electric vehicles (EVs) on a large scale into the distribution grid is a challenging task. Feeder overloads, system power losses, and voltage vi
Externí odkaz:
https://doaj.org/article/9c57cf1306d141578f59e82756bfc364
Publikováno v:
IEEE Access, Vol 12, Pp 29035-29048 (2024)
Recent advancements in battery technology have made them more economically viable than ever before, making them suitable for various grid-scale applications. Due to their rapid response, batteries are attractive for providing ancillary services (AS),
Externí odkaz:
https://doaj.org/article/90fa9040abc141de8cabca8d155a7c2c
Publikováno v:
Oryx, Vol 58, Pp 104-109 (2024)
Cave biodiversity and ecosystems are underexplored. To guide conservation needs for visitor management, we surveyed the 2,158 m long Danial Cave in northern Iran for vertebrate fauna. We identified four mammalian and two amphibian species in the cave
Externí odkaz:
https://doaj.org/article/c02428dc9263449494f65e82c7d55d8c
Autor:
Christophe Papin, Abdulkhaleg Ibrahim, Jamal S. M. Sabir, Stéphanie Le Gras, Isabelle Stoll, Raed S. Albiheyri, Ali T. Zari, Ahmed Bahieldin, Alfonso Bellacosa, Christian Bronner, Ali Hamiche
Publikováno v:
Journal of Experimental & Clinical Cancer Research, Vol 42, Iss 1, Pp 1-19 (2023)
Abstract Background Inherited defects in the base-excision repair gene MBD4 predispose individuals to adenomatous polyposis and colorectal cancer, which is characterized by an accumulation of C > T transitions resulting from spontaneous deamination o
Externí odkaz:
https://doaj.org/article/5389b4aa773a4bfe8eefdf04a989867d
Autor:
Deyuan Lyu, Jenae E. Shoup, Ali T. Habiboglu, Qi Jia, Pravin Khanal, Brandon R. Zink, Yang Lv, Bowei Zhou, Daniel B. Gopman, Weigang Wang, Jian-Ping Wang
Publikováno v:
AIP Advances, Vol 14, Iss 2, Pp 025019-025019-6 (2024)
L10 FePd is increasingly recognized as a potential candidate for magnetic tunnel junctions (MTJs), yet there remains room for enhancing device performance. In this work, we fabricated fully-integrated L10 FePd-based perpendicular MTJ devices and achi
Externí odkaz:
https://doaj.org/article/d6086945e0224b8a99e40ee3ed852681