Zobrazeno 1 - 10
of 436 103
pro vyhledávání: '"A Abdullah"'
Autor:
Małgorzata SKORUPA, Taral PATEL, A ABDULLAH, Sara SHAKIBANIA, Vikas SHUKLA, Ihtisham UL HAQ, Katarzyna KRUKIEWICZ
Publikováno v:
Applied Medical Informatics, Vol 45, Iss Suppl. S1, Pp S27-S27 (2023)
The development of electroactive organic materials has been an unquestionable breakthrough for organic electronics, allowing for the design of polymer-based electrochromic and optoelectronic devices. Electroactive materials have been also considered
Externí odkaz:
https://doaj.org/article/276b935d3be14ec0877f0b634b86918b
Autor:
A ABDULLAH, Katarzyna KRUKIEWICZ
Publikováno v:
Applied Medical Informatics, Vol 45, Iss Suppl. S1, Pp S28-S28 (2023)
Novel antimicrobial agents with better functionality and multitarget modes of action are needed to combat the global rise in antibiotic resistance in bacteria. Copper nanoparticles (CuNPs) have been found to be efficient against many bacterial strain
Externí odkaz:
https://doaj.org/article/6c498096999d4d22a8f1ef4779e29790
The integration of machine learning into smart grid systems represents a transformative step in enhancing the efficiency, reliability, and sustainability of modern energy networks. By adding advanced data analytics, these systems can better manage th
Externí odkaz:
http://arxiv.org/abs/2410.15423
Autor:
Essawi, Khaled, Hakami, Shahd, Abdullah, Albandri, Badr, Dhai, Madkhali, Afiaa A., Hakami, Waleed, Saboor, Muhammad, Yousif, Tagwa, Alshaikh, Nahla A., Mobarki, Abdullah A., Madkhali, Aymen, Chandika, Rama, Alyahyawi, Yara, Dobie, Gasim, Hamali, Hassan A.
Publikováno v:
African Journal of Reproductive Health / La Revue Africaine de la Santé Reproductive, 2024 Sep 01. 28(9), 85-97.
Externí odkaz:
https://www.jstor.org/stable/27332743
Autor:
B Kareem Queen, A Abdullah Al-Janabi
Publikováno v:
Archives of Razi Institute, Vol 76, Iss 4, Pp 841-846 (2021)
Several previously published reports have suggested a relationship between type 2 diabetes mellitus (T2DM) and chromosome 10q. The results of genotyping of 228 microsatellite markers in Icelandic people with T2DMrevealed that a microsatellite, DG10S4
Externí odkaz:
https://doaj.org/article/3637f291854b44f1b4723c395175d37d
Autor:
Mohseni, Masoud, Scherer, Artur, Johnson, K. Grace, Wertheim, Oded, Otten, Matthew, Aadit, Navid Anjum, Bresniker, Kirk M., Camsari, Kerem Y., Chapman, Barbara, Chatterjee, Soumitra, Dagnew, Gebremedhin A., Esposito, Aniello, Fahim, Farah, Fiorentino, Marco, Khalid, Abdullah, Kong, Xiangzhou, Kulchytskyy, Bohdan, Li, Ruoyu, Lott, P. Aaron, Markov, Igor L., McDermott, Robert F., Pedretti, Giacomo, Gajjar, Archit, Silva, Allyson, Sorebo, John, Spentzouris, Panagiotis, Steiner, Ziv, Torosov, Boyan, Venturelli, Davide, Visser, Robert J., Webb, Zak, Zhan, Xin, Cohen, Yonatan, Ronagh, Pooya, Ho, Alan, Beausoleil, Raymond G., Martinis, John M.
In the span of four decades, quantum computation has evolved from an intellectual curiosity to a potentially realizable technology. Today, small-scale demonstrations have become possible for quantum algorithmic primitives on hundreds of physical qubi
Externí odkaz:
http://arxiv.org/abs/2411.10406
Autor:
Abdullah, Abdullah, Sandjaja, Fannya Ratana, Majeed, Ayesha Abdul, Wickremasinghe, Gyan, Rafferty, Karen, Sharma, Vishal
This study investigates uncertainty quantification (UQ) using quantum-classical hybrid machine learning (ML) models for applications in complex and dynamic fields, such as attaining resiliency in supply chain digital twins and financial risk assessme
Externí odkaz:
http://arxiv.org/abs/2411.10254
Autor:
Usman, Muhammad, Rehman, Azka, Shahid, Abdullah, Rehman, Abd Ur, Gho, Sung-Min, Lee, Aleum, Khan, Tariq M., Razzak, Imran
Despite advances in deep learning for estimating brain age from structural MRI data, incorporating functional MRI data is challenging due to its complex structure and the noisy nature of functional connectivity measurements. To address this, we prese
Externí odkaz:
http://arxiv.org/abs/2411.10100
Autor:
Thelwall, Mike, Yaghi, Abdullah
While previous studies have demonstrated that Large Language Models (LLMs) can predict peer review outcomes to some extent, this paper builds on that by introducing two new contexts and employing a more robust method - averaging multiple ChatGPT scor
Externí odkaz:
http://arxiv.org/abs/2411.09763
Autor:
Shajan, Akhil, Kaliakin, Danil, Mitra, Abhishek, Moreno, Javier Robledo, Li, Zhen, Motta, Mario, Johnson, Caleb, Saki, Abdullah Ash, Das, Susanta, Sitdikov, Iskandar, Mezzacapo, Antonio, Merz Jr, Kenneth M.
Computing ground-state properties of molecules is a promising application for quantum computers operating in concert with classical high-performance computing resources. Quantum embedding methods are a family of algorithms particularly suited to thes
Externí odkaz:
http://arxiv.org/abs/2411.09861