Zobrazeno 1 - 10
of 20 545
pro vyhledávání: '"Najjar A"'
We investigate the weak semileptonic decay of the $ \Omega^{+}_{ccb} \rightarrow \Xi^{++}_{cc} ~{\ell}\bar\nu_{\ell}$, where a triply heavy baryon with spin 1/2 decays into the observed doubly heavy baryon with spin 1/2, using QCD sum rule method in
Externí odkaz:
http://arxiv.org/abs/2410.01602
The availability of temporal geospatial data in multiple modalities has been extensively leveraged to enhance the performance of machine learning models. While efforts on the design of adequate model architectures are approaching a level of saturatio
Externí odkaz:
http://arxiv.org/abs/2408.11384
Vegetation indices allow to efficiently monitor vegetation growth and agricultural activities. Previous generations of satellites were capturing a limited number of spectral bands, and a few expert-designed vegetation indices were sufficient to harne
Externí odkaz:
http://arxiv.org/abs/2407.08298
Crop yield forecasting plays a significant role in addressing growing concerns about food security and guiding decision-making for policymakers and farmers. When deep learning is employed, understanding the learning and decision-making processes of t
Externí odkaz:
http://arxiv.org/abs/2407.08274
Autor:
Najjar, Alameen
We empirically demonstrate that a transformer pre-trained on country-scale unlabeled human mobility data learns embeddings capable, through fine-tuning, of developing a deep understanding of the target geography and its corresponding mobility pattern
Externí odkaz:
http://arxiv.org/abs/2406.04029
This paper describes our participation in Task 3 and Task 5 of the #SMM4H (Social Media Mining for Health) 2024 Workshop, explicitly targeting the classification challenges within tweet data. Task 3 is a multi-class classification task centered on tw
Externí odkaz:
http://arxiv.org/abs/2404.19714
Autor:
An, Haechan, Amiri, Ali Najjar, Goronzy, Dominic P., Wetten, David A. Garcia, Bedzyk, Michael J., Shakouri, Ali, Hersam, Mark C., Hosseini, Mahdi
Detecting electronic hot spots is important for understanding the heat dissipation and thermal management of electronic and semiconductor devices. Optical thermoreflective imaging is being used to perform precise temporal and spatial imaging of heat
Externí odkaz:
http://arxiv.org/abs/2403.15345
We study the triply heavy spin-1/2 baryons with quark contents $ ccb $ and $ bbc $, and calculate their mass and residue using QCD sum rules. In the calculations, we consider the ground (1S), first orbitally excited (1P) and first radially excited (2
Externí odkaz:
http://arxiv.org/abs/2402.14348
Autor:
Höhl, Adrian, Obadic, Ivica, Torres, Miguel Ángel Fernández, Najjar, Hiba, Oliveira, Dario, Akata, Zeynep, Dengel, Andreas, Zhu, Xiao Xiang
In recent years, black-box machine learning approaches have become a dominant modeling paradigm for knowledge extraction in remote sensing. Despite the potential benefits of uncovering the inner workings of these models with explainable AI, a compreh
Externí odkaz:
http://arxiv.org/abs/2402.13791
Autor:
Mena, Francisco, Pathak, Deepak, Najjar, Hiba, Sanchez, Cristhian, Helber, Patrick, Bischke, Benjamin, Habelitz, Peter, Miranda, Miro, Siddamsetty, Jayanth, Nuske, Marlon, Charfuelan, Marcela, Arenas, Diego, Vollmer, Michaela, Dengel, Andreas
Accurate crop yield prediction is of utmost importance for informed decision-making in agriculture, aiding farmers, and industry stakeholders. However, this task is complex and depends on multiple factors, such as environmental conditions, soil prope
Externí odkaz:
http://arxiv.org/abs/2401.11844