Zobrazeno 1 - 10
of 62 371
pro vyhledávání: '"Mahmud A."'
Autor:
Xinghang Jiang, Olivia T. Ly, Hanna Chen, Ziwei Zhang, Beatriz A. Ibarra, Mahmud A. Pavel, Grace E. Brown, Arvind Sridhar, David Tofovic, Abigail Swick, Richard Marszalek, Carlos G. Vanoye, Fritz Navales, Alfred L. George, Jr., Salman R. Khetani, Jalees Rehman, Yu Gao, Dawood Darbar, Ankur Saxena
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110395- (2024)
Summary: Developmental causes of the most common arrhythmia, atrial fibrillation (AF), are poorly defined, with compensation potentially masking arrhythmic risk. Here, we delete 9 amino acids (Δ9) within a conserved domain of the giant protein titin
Externí odkaz:
https://doaj.org/article/489be31f1fb44db7b69aaaf61e69c5c9
Autor:
Mahmud, Tanvir, Marculescu, Diana
Audio separation in real-world scenarios, where mixtures contain a variable number of sources, presents significant challenges due to limitations of existing models, such as over-separation, under-separation, and dependence on predefined training sou
Externí odkaz:
http://arxiv.org/abs/2409.19270
In the noisy intermediate scale quantum (NISQ) era, the control over the qubits is limited due to the errors caused by quantum decoherence, crosstalk, and imperfect calibration. Hence, it is necessary to reduce the size of the large-scale classical d
Externí odkaz:
http://arxiv.org/abs/2409.15214
Photonic topological insulators provide unidirectional, robust, wavelength-selective transport of light at an interface while keeping it insulated at the bulk of the material. The non-trivial topology results in an immunity to backscattering, sharp t
Externí odkaz:
http://arxiv.org/abs/2409.10658
This paper presents DENSER, an efficient and effective approach leveraging 3D Gaussian splatting (3DGS) for the reconstruction of dynamic urban environments. While several methods for photorealistic scene representations, both implicitly using neural
Externí odkaz:
http://arxiv.org/abs/2409.10041
Autor:
Pathi, Imdad Mahmud, Soo, John Y. H., Wee, Mao Jie, Zakaria, Sazatul Nadhilah, Ismail, Nur Azwin, Baugh, Carlton M., Manzoni, Giorgio, Gaztanaga, Enrique, Castander, Francisco J., Eriksen, Martin, Carretero, Jorge, Fernandez, Enrique, Garcia-Bellido, Juan, Miquel, Ramon, Padilla, Cristobal, Renard, Pablo, Sanchez, Eusebio, Sevilla-Noarbe, Ignacio, Tallada-Crespí, Pau
ANNZ is a fast and simple algorithm which utilises artificial neural networks (ANNs), it was known as one of the pioneers of machine learning approaches to photometric redshift estimation decades ago. We enhanced the algorithm by introducing new acti
Externí odkaz:
http://arxiv.org/abs/2409.09981
Automatic scene generation is an essential area of research with applications in robotics, recreation, visual representation, training and simulation, education, and more. This survey provides a comprehensive review of the current state-of-the-arts i
Externí odkaz:
http://arxiv.org/abs/2410.01816
Autor:
Chen, Yuhao, He, Jiangpeng, Czarnecki, Chris, Vinod, Gautham, Mahmud, Talha Ibn, Raghavan, Siddeshwar, Ma, Jinge, Mao, Dayou, Nair, Saeejith, Xi, Pengcheng, Wong, Alexander, Delp, Edward, Zhu, Fengqing
Food computing is both important and challenging in computer vision (CV). It significantly contributes to the development of CV algorithms due to its frequent presence in datasets across various applications, ranging from classification and instance
Externí odkaz:
http://arxiv.org/abs/2409.01966
Autor:
Mostafa, Seraj Al Mahmud, Faruque, Omar, Wang, Chenxi, Yue, Jia, Purushotham, Sanjay, Wang, Jianwu
Atmospheric gravity waves occur in the Earths atmosphere caused by an interplay between gravity and buoyancy forces. These waves have profound impacts on various aspects of the atmosphere, including the patterns of precipitation, cloud formation, ozo
Externí odkaz:
http://arxiv.org/abs/2408.14674
Autor:
Jobayer, Md, Shawon, Md. Mehedi Hasan, Mahmud, Tasfin, Antor, Md. Borhan Uddin, Chowdhury, Arshad M.
Sleep stages play an essential role in the identification of sleep patterns and the diagnosis of sleep disorders. In this study, we present an automated sleep stage classifier termed the Attentive Dilated Convolutional Neural Network (AttDiCNN), whic
Externí odkaz:
http://arxiv.org/abs/2409.01962