Zobrazeno 1 - 10
of 2 894
pro vyhledávání: '"A. Cavus"'
Autor:
Cavus, Mustafa, Kuzilek, Jakub
In the past decade, we have experienced a massive boom in the usage of digital solutions in higher education. Due to this boom, large amounts of data have enabled advanced data analysis methods to support learners and examine learning processes. One
Externí odkaz:
http://arxiv.org/abs/2408.00676
The accuracy and understandability of bank failure prediction models are crucial. While interpretable models like logistic regression are favored for their explainability, complex models such as random forest, support vector machines, and deep learni
Externí odkaz:
http://arxiv.org/abs/2407.11089
Autor:
Cavus, Mustafa, Biecek, Przemysław
Predictive models may generate biased predictions when classifying imbalanced datasets. This happens when the model favors the majority class, leading to low performance in accurately predicting the minority class. To address this issue, balancing or
Externí odkaz:
http://arxiv.org/abs/2405.01557
Autor:
Abduallah, Yasser, Alobaid, Khalid A., Wang, Jason T. L., Wang, Haimin, Jordanova, Vania K., Yurchyshyn, Vasyl, Cavus, Huseyin, Jing, Ju
We propose a novel deep learning framework, named SYMHnet, which employs a graph neural network and a bidirectional long short-term memory network to cooperatively learn patterns from solar wind and interplanetary magnetic field parameters for short-
Externí odkaz:
http://arxiv.org/abs/2402.17196
Autor:
Alobaid, Khalid A., Abduallah, Yasser, Wang, Jason T. L., Wang, Haimin, Fan, Shen, Li, Jialiang, Cavus, Huseyin, Yurchyshyn, Vasyl
Publikováno v:
The Astrophysical Journal Letters, 958:L34, 2023
Coronal mass ejections (CMEs) are massive solar eruptions, which have a significant impact on Earth. In this paper, we propose a new method, called DeepCME, to estimate two properties of CMEs, namely, CME mass and kinetic energy. Being able to estima
Externí odkaz:
http://arxiv.org/abs/2312.01691
Autor:
Vedat Cavus, Fatih Mengeloğlu
Publikováno v:
BioResources, Vol 19, Iss 4, Pp 9358-9374 (2024)
Effects of thermoplastic polyurethane (TPU) types (Recycled (R) and Virgin (V)) composites with 15 wt% and 30 wt% oakwood flour addition were studied. Selected physical, mechanical, morphological, and thermal properties of resulting polymer composite
Externí odkaz:
https://doaj.org/article/3785038a70b74603b02015a14543acb3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Social networks have become a common way for people to communicate with each other and share ideas, thanks to their fast information-sharing features. But fake news spread on social networks can cause many negative consequences by affecting
Externí odkaz:
https://doaj.org/article/83c5052bc023437db03acb3fb4f43773
The expected goal models have gained popularity, but their interpretability is often limited, especially when trained using black-box methods. Explainable artificial intelligence tools have emerged to enhance model transparency and extract descriptiv
Externí odkaz:
http://arxiv.org/abs/2308.15559
Publikováno v:
Proceedings of Machine Learning Research 241 (2023) 16-30
Imbalanced data poses a significant challenge in classification as model performance is affected by insufficient learning from minority classes. Balancing methods are often used to address this problem. However, such techniques can lead to problems s
Externí odkaz:
http://arxiv.org/abs/2307.00157
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Background Fentanyl is a highly potent analgesic, used in surgery, frequently abused or used in drug-facilitated crimes (DFC) and in military activities. It is also increasingly used in the treatment of chronic pain (especially in cancer pat
Externí odkaz:
https://doaj.org/article/83b5f0cd767f46a9af397be255ae36cc