Zobrazeno 1 - 10
of 29 301
pro vyhledávání: '"Shirazi A"'
Continuous monitoring of non-invasive skin sympathetic nerve activity (SKNA) holds promise for understanding the sympathetic nervous system (SNS) dynamics in various physiological and pathological conditions. However, muscle noise artifacts present a
Externí odkaz:
http://arxiv.org/abs/2410.21319
The bimodal metallicity distribution of globular clusters (GCs) in massive galaxies implies two distinct sub-populations: metal-poor and metal-rich. Using the recent data of \textit{Gaia} we highlighted three distinct dissimilarities between metal-po
Externí odkaz:
http://arxiv.org/abs/2410.16276
Kernel methods in machine learning use a kernel function that takes two data points as input and returns their inner product after mapping them to a Hilbert space, implicitly and without actually computing the mapping. For many kernel functions, such
Externí odkaz:
http://arxiv.org/abs/2410.12635
Autor:
Lin, Jephian C. -H., Shirazi, Mahsa N
Given a graph and one of its weighted Laplacian matrix, a Fiedler vector is an eigenvector with respect to the second smallest eigenvalue. The Fiedler vectors have been used widely for graph partitioning, graph drawing, spectral clustering, and findi
Externí odkaz:
http://arxiv.org/abs/2410.09736
Autor:
Reyna, Matthew A., Deepanshi, Weigle, James, Koscova, Zuzana, Campbell, Kiersten, Shivashankara, Kshama Kodthalu, Saghafi, Soheil, Nikookar, Sepideh, Motie-Shirazi, Mohsen, Kiarashi, Yashar, Seyedi, Salman, Clifford, Gari D., Sameni, Reza
We introduce the ECG-Image-Database, a large and diverse collection of electrocardiogram (ECG) images generated from ECG time-series data, with real-world scanning, imaging, and physical artifacts. We used ECG-Image-Kit, an open-source Python toolkit
Externí odkaz:
http://arxiv.org/abs/2409.16612
Autor:
Ghasemi, S. Mojtaba, Rostami-Shirazi, Ali, Khalaj, Pouria, Zonoozi, Akram Hasani, Haghi, Hosein
We investigate the impact of primordial mass segregation on the formation and evolution of dark star clusters (DSCs). Considering a wide range of initial conditions, we conducted $N$-body simulations of globular clusters (GCs) around the Milky Way. I
Externí odkaz:
http://arxiv.org/abs/2409.15280
Binary Neural Networks (BNNs) enable efficient deep learning by saving on storage and computational costs. However, as the size of neural networks continues to grow, meeting computational requirements remains a challenge. In this work, we propose a n
Externí odkaz:
http://arxiv.org/abs/2407.12075
Autor:
Soltanifar, Mohsen, Lee, Chel Hee, Shirazi, Amin, Behnke, Martha, Raymond-Loher, Ilfra, Dagne, Getachew A.
The precise calculation of sample sizes is a crucial aspect in the design of clinical trials particularly for pharmaceutical statisticians. While various R statistical software packages have been developed by researchers to estimate required sample s
Externí odkaz:
http://arxiv.org/abs/2407.11342
Autor:
Gunderson, Karen, Meagher, Karen, Morris, Joy, Pantangi, Venkata Raghu Tej, Shirazi, Mahsa N.
The Erd\H{o}s--Ko--Rado (EKR) theorem and its generalizations can be viewed as classifications of maximum independent sets in appropriately defined families of graphs, such as the Kneser graph $K(n,k)$. In this paper, we investigate the independence
Externí odkaz:
http://arxiv.org/abs/2406.15739
In the pursuit of advancing solar energy technologies, this study presents 20 direct and quasi-direct band gap silicon crystalline semiconductors that satisfy the Shockley-Queisser limit, a benchmark for solar cell efficiency. Employing two evolution
Externí odkaz:
http://arxiv.org/abs/2406.15316