Zobrazeno 21 - 30
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pro vyhledávání: '"Jamil, A."'
Drivers can sustain serious injuries in traffic accidents. In this study, traffic crashes on Florida's Interstate-95 from 2016 to 2021 were gathered, and several classification methods were used to estimate the severity of driver injuries. In the fea
Externí odkaz:
http://arxiv.org/abs/2312.12459
Background and objective: Uncertainty quantification is a pivotal field that contributes to realizing reliable and robust systems. It becomes instrumental in fortifying safe decisions by providing complementary information, particularly within high-r
Externí odkaz:
http://arxiv.org/abs/2312.07460
The integration of large language models (LLMs) with social robots has emerged as a promising avenue for enhancing human-robot interactions at a time when news reports generated by artificial intelligence (AI) are gaining in credibility. This integra
Externí odkaz:
http://arxiv.org/abs/2311.06640
This paper discusses estimation and limited information goodness-of-fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights. The paper extends the applicability of pairwise likelihood estimation
Externí odkaz:
http://arxiv.org/abs/2311.02543
Autor:
Salameh Alkhazaleh, Salameh Jamil, author, Ali Daradkah, Laith Jabur, author, Mohammad Aldegis, Ahmad, author, Saad Almashaqbeh, Ibrahim Barjes, author, Sadaa, Abdullah Mohammed, author
Publikováno v:
The Role of Artificial Intelligence in Regenerative Tourism and Green Destinations
Autor:
Lai, Jeremy, Ahmed, Faruk, Vijay, Supriya, Jaroensri, Tiam, Loo, Jessica, Vyawahare, Saurabh, Agarwal, Saloni, Jamil, Fayaz, Matias, Yossi, Corrado, Greg S., Webster, Dale R., Krause, Jonathan, Liu, Yun, Chen, Po-Hsuan Cameron, Wulczyn, Ellery, Steiner, David F.
Task-specific deep learning models in histopathology offer promising opportunities for improving diagnosis, clinical research, and precision medicine. However, development of such models is often limited by availability of high-quality data. Foundati
Externí odkaz:
http://arxiv.org/abs/2310.13259
Autor:
Islam, Mahbubul, Jamil, Hossain Md. Mubashshir, Pranto, Samiul Ahsan, Das, Rupak Kumar, Amin, Al, Khan, Arshia
Publikováno v:
Sensors 2024, 24, 2509
The Internet of Things (IoT) will bring about the next industrial revolution in Industry 4.0. The communication aspect of IoT devices is one of the most critical factors in choosing the suitable device for the suitable usage. So far, the IoT physical
Externí odkaz:
http://arxiv.org/abs/2310.09177
Autor:
Zaghir, Jamil, Bjelogrlic, Mina, Goldman, Jean-Philippe, Aananou, Soukaïna, Gaudet-Blavignac, Christophe, Lovis, Christian
Natural language processing (NLP) applications such as named entity recognition (NER) for low-resource corpora do not benefit from recent advances in the development of large language models (LLMs) where there is still a need for larger annotated dat
Externí odkaz:
http://arxiv.org/abs/2309.10770
Publikováno v:
Chinese Physics C, 18 March 2024
Recently, the experimental measurements of the branching ratios and different polarization asymmetries for the processes occurring through flavor-changing-charged current $b\rightarrow c\tau\overline{\nu}_{\tau}$ transitions by BABAR, Belle, and LHCb
Externí odkaz:
http://arxiv.org/abs/2309.09929
Publikováno v:
Physics of the Dark Universe 45 (2024) 101497
With the recent release of the black hole image of Sgr A* alongside the earlier image of M87*, one can achieve an in-depth understanding of gravitational physics at the horizon scale. According to the Event Horizon Telescope (EHT) collaboration, the
Externí odkaz:
http://arxiv.org/abs/2309.02454