Zobrazeno 1 - 10
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pro vyhledávání: '"Islam, Mohammad A"'
The growing necessity for enhanced processing capabilities in edge devices with limited resources has led us to develop effective methods for improving high-performance computing (HPC) applications. In this paper, we introduce LASP (Lightweight Autot
Externí odkaz:
http://arxiv.org/abs/2501.01057
Autor:
Islam, Mohammad Mohaiminul, de Vente, Coen, Liefers, Bart, Klaver, Caroline, Bekkers, Erik J, Sánchez, Clara I.
In this paper, we present a new approach for uncertainty-aware retinal layer segmentation in Optical Coherence Tomography (OCT) scans using probabilistic signed distance functions (SDF). Traditional pixel-wise and regression-based methods primarily e
Externí odkaz:
http://arxiv.org/abs/2412.04935
Langevin algorithms are popular Markov Chain Monte Carlo methods for Bayesian learning, particularly when the aim is to sample from the posterior distribution of a parametric model, given the input data and the prior distribution over the model param
Externí odkaz:
http://arxiv.org/abs/2412.01993
Autor:
Rahman, Md. Naimur, Sozol, Shafak Shahriar, Samsuzzaman, Md., Hossin, Md. Shahin, Islam, Mohammad Tariqul, Islam, S. M. Taohidul, Maniruzzaman, Md.
In the modern agricultural industry, technology plays a crucial role in the advancement of cultivation. To increase crop productivity, soil require some specific characteristics. For watermelon cultivation, soil needs to be sandy and of high temperat
Externí odkaz:
http://arxiv.org/abs/2411.17731
Autor:
Rabby, Md Insiat Islam, Sharif, Mohammad Ali Rob, Islam, Mohammad Tarequl, Islam, Md. Rakidul, Alam, Md. Mahidul
This article delves into a numerical exploration of two-dimensional, incompressible, laminar flow within a confined diverging jet. The study aims to understand how variations in the inlet opening fraction and Reynolds number affect the heat transfer
Externí odkaz:
http://arxiv.org/abs/2411.08573
Autor:
Islam, Mohammad Saiful, Rakha, Mohamed Sami, Pourmajidi, William, Sivaloganathan, Janakan, Steinbacher, John, Miranskyy, Andriy
As Large-Scale Cloud Systems (LCS) become increasingly complex, effective anomaly detection is critical for ensuring system reliability and performance. However, there is a shortage of large-scale, real-world datasets available for benchmarking anoma
Externí odkaz:
http://arxiv.org/abs/2411.09047
Autor:
George, Hubert C., Mądzik, Mateusz T., Henry, Eric M., Wagner, Andrew J., Islam, Mohammad M., Borjans, Felix, Connors, Elliot J., Corrigan, J., Curry, Matthew, Harper, Michael K., Keith, Daniel, Lampert, Lester, Luthi, Florian, Mohiyaddin, Fahd A., Murcia, Sandra, Nair, Rohit, Nahm, Rambert, Nethwewala, Aditi, Neyens, Samuel, Patra, Bishnu, Raharjo, Roy D., Rogan, Carly, Savytskyy, Rostyslav, Watson, Thomas F., Ziegler, Josh, Zietz, Otto K., Pellerano, Stefano, Pillarisetty, Ravi, Bishop, Nathaniel C., Bojarski, Stephanie A., Roberts, Jeanette, Clarke, James S.
Intels efforts to build a practical quantum computer are focused on developing a scalable spin-qubit platform leveraging industrial high-volume semiconductor manufacturing expertise and 300 mm fabrication infrastructure. Here, we provide an overview
Externí odkaz:
http://arxiv.org/abs/2410.16583
Autor:
de Vente, Coen, Islam, Mohammad Mohaiminul, Valmaggia, Philippe, Hoyng, Carel, Tufail, Adnan, Sánchez, Clara I.
High anisotropy in volumetric medical images can lead to the inconsistent quantification of anatomical and pathological structures. Particularly in optical coherence tomography (OCT), slice spacing can substantially vary across and within datasets, s
Externí odkaz:
http://arxiv.org/abs/2410.09862
The success of machine learning algorithms heavily relies on the quality of samples and the accuracy of their corresponding labels. However, building and maintaining large, high-quality datasets is an enormous task. This is especially true for biomed
Externí odkaz:
http://arxiv.org/abs/2407.21263
Freshwater scarcity is a global problem that requires collective efforts across all industry sectors. Nevertheless, a lack of access to operational water footprint data bars many applications from exploring optimization opportunities hidden within th
Externí odkaz:
http://arxiv.org/abs/2405.17469