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pro vyhledávání: '"A. Alshammari"'
In recent times, a considerable number of research studies have been carried out to address the issue of Missing Value Imputation (MVI). MVI aims to provide a primary solution for datasets that have one or more missing attribute values. The advanceme
Externí odkaz:
http://arxiv.org/abs/2410.08308
Machine learning (ML) has become a ubiquitous tool across various domains of data mining and big data analysis. The efficacy of ML models depends heavily on high-quality datasets, which are often complicated by the presence of missing values. Consequ
Externí odkaz:
http://arxiv.org/abs/2410.08295
Autor:
Wahab, Abdul, Khan, Tariq Mahmood, Iqbal, Shahzaib, AlShammari, Bandar, Alhaqbani, Bandar, Razzak, Imran
Identification of suspects based on partial and smudged fingerprints, commonly referred to as fingermarks or latent fingerprints, presents a significant challenge in the field of fingerprint recognition. Although fixed-length embeddings have shown ef
Externí odkaz:
http://arxiv.org/abs/2409.11802
Autor:
Siddiqui, Mahrukh, Iqbal, Shahzaib, AlShammari, Bandar, Alhaqbani, Bandar, Khan, Tariq M., Razzak, Imran
Compared to contact fingerprint images, contactless fingerprint images exhibit four distinct characteristics: (1) they contain less noise; (2) they have fewer discontinuities in ridge patterns; (3) the ridge-valley pattern is less distinct; and (4) t
Externí odkaz:
http://arxiv.org/abs/2408.09426
Autor:
Alshammari, Noura, Bevan, David
We exhibit a procedure to asymptotically enumerate monotone grid classes of permutations. This is then applied to compute the asymptotic number of permutations in any connected one-corner class. Our strategy consists of enumerating the gridded permut
Externí odkaz:
http://arxiv.org/abs/2408.00607
Autor:
Weinstein, Vadim K., Alshammari, Tamara, Timperi, Kalle G., Bennis, Mehdi, LaValle, Steven M.
When designing a robot's internal system, one often makes assumptions about the structure of the intended environment of the robot. One may even assign meaning to various internal components of the robot in terms of expected environmental correlates.
Externí odkaz:
http://arxiv.org/abs/2406.11237
Large language models have gained tremendous popularity in domains such as e-commerce, finance, healthcare, and education. Fine-tuning is a common approach to customize an LLM on a domain-specific dataset for a desired downstream task. In this paper,
Externí odkaz:
http://arxiv.org/abs/2406.05812
Autor:
Alshammari, Suad, Basalelah, Lama, Rukbah, Walaa Abu, Alsuhibani, Ali, Wijesinghe, Dayanjan S.
The exponential growth of scientific literature has resulted in information overload, challenging researchers to effectively synthesize relevant publications. This paper explores the integration of traditional reference management software with advan
Externí odkaz:
http://arxiv.org/abs/2405.07963
Flaky tests are tests that can non-deterministically pass or fail, even in the absence of code changes.Despite being a source of false alarms, flaky tests often remain in test suites once they are detected, as they also may be relied upon to detect t
Externí odkaz:
http://arxiv.org/abs/2401.15788
Autor:
Arwa A. Alsayed, Mariam B. Aldajani, Marwan H. Aljohani, Hamdan Alamri, Maram A. Alwadi, Bodor Z. Alshammari, Falah R. Alshammari
Publikováno v:
Saudi Dental Journal, Vol 36, Iss 11, Pp 1483-1489 (2024)
Aim: Evaluation of the quality of dental information produced by the ChatGPT artificial intelligence language model within the context of oral surgery, preventive dentistry, and oral cancer. Methodology: This study adopted quantitative methods approa
Externí odkaz:
https://doaj.org/article/d9c9212323c2476f800e0faa44d5d6da