Zobrazeno 1 - 10
of 12 848
pro vyhledávání: '"A. Atik"'
Autor:
A. Demiray, Z. Gündüz, N. Ata, O. Yılmaz, İ. Cemal, A. Konyalı, Z. Semen, A. Altuntaş, A. Atik, A. Akçay, H. Baş, H. H. Şenyüz
Publikováno v:
Archives Animal Breeding, Vol 67, Pp 13-23 (2024)
This study aimed to investigate the genetic characterization and diversity of Hair goats from 10 regions using 20 microsatellite markers. A total of 522 alleles were observed. The INRA0023 locus exhibited the greatest number of alleles (48), while th
Externí odkaz:
https://doaj.org/article/e295405c6ccd4e33a166b32108b27566
We introduce a novel anchor-free contrastive learning (AFCL) method leveraging our proposed Similarity-Orthogonality (SimO) loss. Our approach minimizes a semi-metric discriminative loss function that simultaneously optimizes two key objectives: redu
Externí odkaz:
http://arxiv.org/abs/2410.05233
GSM-R (GSM for Railways) is a 2G-based standardized ground-to-train communications system that enabled interoperability across different countries. However, as a 2G-based system, it is nearing its lifetime and therefore, it will be replaced with 5G-b
Externí odkaz:
http://arxiv.org/abs/2408.06957
Autor:
Ahamed, Md Atik, Cheng, Qiang
Time series classification (TSC) on multivariate time series is a critical problem. We propose a novel multi-view approach integrating frequency-domain and time-domain features to provide complementary contexts for TSC. Our method fuses continuous wa
Externí odkaz:
http://arxiv.org/abs/2406.04419
Autor:
Martelli, Valentina, Anquetil, Amaury, Atik, Lin Al, Jiménez, J. Larrea, Subedi, Alaska, Lobo, Ricardo P. S. M., Behnia, Kamran
The first-order phase transition between the liquid and gaseous phases ends at a critical point. Critical opalescence occurs at this singularity. Discovered in 1822, it is known to be driven by diverging fluctuations in the density. During the past t
Externí odkaz:
http://arxiv.org/abs/2404.05005
Autor:
Ahamed, Md Atik, Cheng, Qiang
Long-term time-series forecasting remains challenging due to the difficulty in capturing long-term dependencies, achieving linear scalability, and maintaining computational efficiency. We introduce TimeMachine, an innovative model that leverages Mamb
Externí odkaz:
http://arxiv.org/abs/2403.09898
Few-shot learning (FSL) is a challenging machine learning problem due to a scarcity of labeled data. The ability to generalize effectively on both novel and training tasks is a significant barrier to FSL. This paper proposes a novel solution that can
Externí odkaz:
http://arxiv.org/abs/2402.18599
In this study faecal sludge is used as raw biomass due to its abundance, low cost, and easy availability. After HTL operation, product separation is getting challenging. Current developed studies observed the separation of aqueous and biocrude oil pr
Externí odkaz:
http://arxiv.org/abs/2402.17028
Autor:
Ahamed, Md Atik, Cheng, Qiang
Despite the prevalence of images and texts in machine learning, tabular data remains widely used across various domains. Existing deep learning models, such as convolutional neural networks and transformers, perform well however demand extensive prep
Externí odkaz:
http://arxiv.org/abs/2401.08867
Few-shot learning or meta-learning leverages the data scarcity problem in machine learning. Traditionally, training data requires a multitude of samples and labeling for supervised learning. To address this issue, we propose a one-shot unsupervised m
Externí odkaz:
http://arxiv.org/abs/2310.13085