Zobrazeno 1 - 10
of 45 417
pro vyhledávání: '"A, Imam"'
Autor:
Yusuf, Imam Nur Bani, Jiang, Lingxiao
Large language models have demonstrated promising performance across various software engineering tasks. While fine-tuning is a common practice to adapt these models for downstream tasks, it becomes challenging in resource-constrained environments du
Externí odkaz:
http://arxiv.org/abs/2412.13467
Autor:
Morozova, Anna, Spogli, Luca, Barata, Teresa, Imam, Rayan, Pica, Emanuele, Cahuasquí, Juan Andrés, Hoque, Mohammed Mainul, Jakowski, Norbert, Estaço, Daniela
The sensitivity of Global Navigation Satellite Systems (GNSS) receivers to ionospheric disturbances and their constant growth are nowadays resulting in an increased concern of GNSS-users about the impacts of ionospheric disturbances at mid-latitudes.
Externí odkaz:
http://arxiv.org/abs/2412.06608
Autor:
Imam, Mohamed Fazli, Marew, Rufael Fedaku, Hassan, Jameel, Fiaz, Mustansar, Aji, Alham Fikri, Cholakkal, Hisham
In the era of foundation models, CLIP has emerged as a powerful tool for aligning text and visual modalities into a common embedding space. However, the alignment objective used to train CLIP often results in subpar visual features for fine-grained t
Externí odkaz:
http://arxiv.org/abs/2411.19346
Autor:
Alpat, Ali Behcet, Bartolini, Giovanni, Wusimanjiang, Talifujiang, Raheem, Haider, Huseyinoglu, Ersin, Bayram, Raziye, Bozkurt, Arca, Dolek, Deniz, Salvi, Lucia, Shah, Ahmed Imam, Ciccarella, Nora, Bakis, Yakup, Gigli, Stefano
Publikováno v:
IAC-24-A-1.5.8, 2024
Matter-RADiation interaction SIMulation (MRADSIM) is an innovative modular software toolkit developed to simulate the effects of radiation on electronic components, human beings and various materials. It incorporates innovative features aimed at enha
Externí odkaz:
http://arxiv.org/abs/2411.11173
Dennler et al. submit that they have discovered limitations affecting some of the conclusions drawn in our 2020 paper, Rapid online learning and robust recall in a neuromorphic olfactory circuit. Specifically, they assert (1) that the public dataset
Externí odkaz:
http://arxiv.org/abs/2411.10456
Advancements in generative modeling are pushing the state-of-the-art in synthetic medical image generation. These synthetic images can serve as an effective data augmentation method to aid the development of more accurate machine learning models for
Externí odkaz:
http://arxiv.org/abs/2409.19436
Autor:
Sheng, Y., Imam, K., Kaur, A., Ajello, M., Domínguez, A., Rau, A., Cenko, S. B., Greiner, J., Hartmann, D. H., Cox, I., Joffre, S., Mcdaniel, A., Silver, R., Torres-Albà, N.
The spectroscopic redshift measurement of BL Lac, a class of blazar, is challenging because its spectrum has no or weak emission lines ($\leqslant5\AA$). We estimate the redshift by the photometric dropout technique for a sample of 64 blazars (59 BL
Externí odkaz:
http://arxiv.org/abs/2409.16236
Autor:
Makhfudz, Imam, Esmaielpour, Hamidreza, Hajati, Yaser, Koblmüller, Gregor, Cavassilas, Nicolas
Publikováno v:
Phys. Rev. B 110, L121302 (2024)
Hot carrier effect, a phenomenon where charge carriers generated by photon absorption remain energetic by not losing much energy, has been one of the leading strategies in increasing solar cell efficiency. Nanostructuring offers an effective approach
Externí odkaz:
http://arxiv.org/abs/2409.11544
Autor:
Wahyutama, Imam S., Larsson, Henrik R.
Publikováno v:
Journal of Chemical Theory and Computation, 2024
Compared to ground state electronic structure optimizations, accurate simulations of molecular real-time electron dynamics are usually much more difficult to perform. To simulate electron dynamics, the time-dependent density matrix renormalization gr
Externí odkaz:
http://arxiv.org/abs/2409.05959
In medical image classification, supervised learning is challenging due to the lack of labeled medical images. Contrary to the traditional \textit{modus operandi} of pre-training followed by fine-tuning, this work leverages the visual-textual alignme
Externí odkaz:
http://arxiv.org/abs/2409.02729