Zobrazeno 1 - 10
of 6 407
pro vyhledávání: '"A. Shameem"'
Autor:
R. Pradeep, V. Siva, M. Anandha Jothi, A. Murugan, A. Shameem, S. Sanjana, E. Hemnath, Abdullah G Al-Sehemi
Publikováno v:
Heliyon, Vol 10, Iss 1, Pp e23524- (2024)
The research article investigates the effect of incorporating the guanidinium carbonate (GuC) salt into the poly vinylpyrrolidone (PVP) and polyethylene oxide (PEO) polymer matrix. Various weight percentages of GuC enriched PVP/PEO solid polymer elec
Externí odkaz:
https://doaj.org/article/8d5621ec2cba4a81a2a1c0d858483717
This article presents a probabilistic modeling method utilizing smart meter data and an innovative agent-based simulator for electric vehicles (EVs). The aim is to assess the effects of different cost-driven EV charging strategies on the power distri
Externí odkaz:
http://arxiv.org/abs/2402.15728
Bayesian optimization (BO) protocol based on Active Learning (AL) principles has garnered significant attention due to its ability to optimize black-box objective functions efficiently. This capability is a prerequisite for guiding autonomous and hig
Externí odkaz:
http://arxiv.org/abs/2401.06106
Federated Learning (FL) has been successfully adopted for distributed training and inference of large-scale Deep Neural Networks (DNNs). However, DNNs are characterized by an extremely large number of parameters, thus, yielding significant challenges
Externí odkaz:
http://arxiv.org/abs/2309.06805
Publikováno v:
Journal of Service Theory and Practice, 2024, Vol. 34, Issue 5, pp. 664-688.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/JSTP-04-2023-0119
Publikováno v:
International Hospitality Review, 2023, Vol. 38, Issue 2, pp. 239-257.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IHR-12-2022-0058
Autor:
McQueen, Liam W.1 (AUTHOR) lwm3@leicester.ac.uk, Ladak, Shameem S.1 (AUTHOR), Layton, Georgia R.1 (AUTHOR), Wozniak, Marcin1 (AUTHOR), Solomon, Charles1 (AUTHOR), El-Dean, Zein1 (AUTHOR), Murphy, Gavin J.1 (AUTHOR), Zakkar, Mustafa1 (AUTHOR) mz207@leicester.ac.uk
Publikováno v:
International Journal of Molecular Sciences. Oct2024, Vol. 25 Issue 19, p10368. 30p.
Autor:
Khan, Arif Ali, Akbar, Muhammad Azeem, Ahmad, Aakash, Fahmideh, Mahdi, Shameem, Mohammad, Lahtinen, Valtteri, Waseem, Muhammad, Mikkonen, Tommi
Quantum software systems are emerging software engineering (SE) genre that exploit principles of quantum bits (Qubit) and quantum gates (Qgates) to solve complex computing problems that today classic computers can not effectively do in a reasonable t
Externí odkaz:
http://arxiv.org/abs/2210.09825
Publikováno v:
Evidence-based HRM: a Global Forum for Empirical Scholarship, 2023, Vol. 12, Issue 1, pp. 172-192.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/EBHRM-06-2022-0147
We propose an algorithm for next query recommendation in interactive data exploration settings, like knowledge discovery for information gathering. The state-of-the-art query recommendation algorithms are based on sequence-to-sequence learning approa
Externí odkaz:
http://arxiv.org/abs/2205.06297