Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Taha Bilal"'
Autor:
Zheng, Xue Xian, Rahma, M. M. Ur, Taha, Bilal, Masood, Mudassir, Hatzinakos, Dimitrios, Al-Naffouri, Tareq
Camera-based photoplethysmography (PPG) obtained from smartphones has shown great promise for personalized healthcare and secure authentication. This paper presents a multimodal biometric system that integrates PPG signals extracted from videos with
Externí odkaz:
http://arxiv.org/abs/2412.05660
Despite the recent advancements in information retrieval (IR), zero-shot IR remains a significant challenge, especially when dealing with new domains, languages, and newly-released use cases that lack historical query traffic from existing users. For
Externí odkaz:
http://arxiv.org/abs/2410.18385
In the realm of ubiquitous computing, Human Activity Recognition (HAR) is vital for the automation and intelligent identification of human actions through data from diverse sensors. However, traditional machine learning approaches by aggregating data
Externí odkaz:
http://arxiv.org/abs/2407.12287
Autor:
Niyaz Ahamad Madhar, Mohammed Shahabuddin, Monis Luqman, Taha Bilal, Nasser S. Alzayed, Mohammad Asif
Publikováno v:
Metals, Vol 9, Iss 11, p 1190 (2019)
In the present study, a novel choice of sheath materials for drawing long superconducting MgB2 wire by using the powder-in-tube technique (PIT) is reported. This would eliminate the need for an intermediate strain-relieving annealing process and woul
Externí odkaz:
https://doaj.org/article/25704f3abeaf4cac9dfffaa8b2281113
This paper proposes an approach to learn generic multi-modal mesh surface representations using a novel scheme for fusing texture and geometric data. Our approach defines an inverse mapping between different geometric descriptors computed on the mesh
Externí odkaz:
http://arxiv.org/abs/1904.04297
Autor:
Chaabani, Hazar, Werghi, Naoufel, Kamoun, Faouzi, Taha, Bilal, Outay, Fatma, Yasar, Ansar-Ul-Haque
Publikováno v:
In Procedia Computer Science 2018 141:478-483
Akademický článek
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Akademický článek
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Autor:
Yu-Sheng Chen, Taha Bilal Uyar, Mehmet V. Yigit, Mahera J Kachwala, Nidhi Nandu, Christopher W. Smith, Muhan He
Publikováno v:
ACS Appl Nano Mater
A two-dimensional nanoparticle–single-stranded DNA (ssDNA) array has been assembled for the detection of bacterial species using machine-learning (ML) algorithms. Out of 60 unknowns prepared from bacterial lysates, 54 unknowns were predicted correc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::190057455fbb3239c0ed87b2caec4c09
https://doi.org/10.1021/acsanm.0c03001
https://doi.org/10.1021/acsanm.0c03001
Publikováno v:
ChemMedChem
Monitoring the release and activation of prodrug formulations provides essential information about the outcome of a therapy. While the prodrug delivery can be confirmed by using different imaging techniques, confirming the release of active payload b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11d2e2f4e601697632fc53224ec7eba5
https://doi.org/10.1002/cmdc.202000065
https://doi.org/10.1002/cmdc.202000065