Zobrazeno 1 - 10
of 13 070
pro vyhledávání: '"A, Atik"'
Autor:
Mondal, Priti Prasanna, Atik, Fouzul
Consider two simple graphs, G1 and G2, with their respective vertex sets V(G1) and V(G2). The Kronecker product forms a new graph with a vertex set V(G1) X V(G2). In this new graph, two vertices, (x, y) and (u, v), are adjacent if and only if xu is a
Externí odkaz:
http://arxiv.org/abs/2411.19784
We consider the group G and construct its power graph, whose vertex set consists of the elements of G. Two distinct vertices (elements) are adjacent in the graph if and only if one element can be expressed as an integral power of the other. In the pa
Externí odkaz:
http://arxiv.org/abs/2411.18244
Modulation classification is a very challenging task since the signals intertwine with various ambient noises. Methods are required that can classify them without adding extra steps like denoising, which introduces computational complexity. In this s
Externí odkaz:
http://arxiv.org/abs/2411.02428
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
Autor:
Fortina, Rini, Wahyuni, Chatarina Umbul, Hidajah, Atik Choirul, Syahrul, Fariani, Siringo, Yulinar N.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Oct 01. 28(10s), 386-396.
Externí odkaz:
https://www.jstor.org/stable/27339867
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