Zobrazeno 1 - 10
of 853
pro vyhledávání: '"Quantum Neural Network"'
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 2, Pp 100073- (2024)
In this investigation, a quantitative structure-property relationship (QSPR) model coupled with a quantum neural network (QNN) was used to explore the corrosion inhibition efficiency (CIE) of quinoxaline compounds. Integrating quantum chemical proper
Externí odkaz:
https://doaj.org/article/113108c0be084cf7a7b865e2764cb3a7
Publikováno v:
PeerJ Computer Science, Vol 10, p e2343 (2024)
Background The COVID-19 pandemic has had a significant influence on economies and healthcare systems around the globe. One of the most important strategies that has proven to be effective in limiting the disease and reducing its rapid spread is early
Externí odkaz:
https://doaj.org/article/59a067a04ea8458386be980a6301559b
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Accurate prediction of air quality index is a challenging task, in order to solve the gradient problem of traditional neural network methods in the time series prediction process as well as to improve the prediction accuracy, the study proposes a hyb
Externí odkaz:
https://doaj.org/article/25160dabfb0f4536a9eee2dd700e11ee
Autor:
Eric Paquet, Farzan Soleymani, Gabriel St-Pierre-Lemieux, Herna Lydia Viktor, Wojtek Michalowski
Publikováno v:
Artificial Intelligence Chemistry, Vol 2, Iss 1, Pp 100030- (2024)
This paper presents a new approach for protein generation based on one-shot learning and hybrid quantum neural networks. Given a single protein complex, the system learns how to predict the remaining unknown properties, without resorting to autoregre
Externí odkaz:
https://doaj.org/article/e9a9ee4dbf884e63950b4412b349f053
Autor:
Nojood O. Aljehane, Hanan A. Mengash, Siwar B.H. Hassine, Faiz A. Alotaibi, Ahmed S. Salama, Sitelbanat Abdelbagi
Publikováno v:
Alexandria Engineering Journal, Vol 91, Iss , Pp 39-49 (2024)
Network security is a critical aspect of information technology, targeting to safeguard the confidentiality, integrity, and availability of data transmitted across computer networks. Intrusion Detection Systems (IDS) plays an essential role, serving
Externí odkaz:
https://doaj.org/article/81afa00f62604b1dbca32a686f049f3b
Publikováno v:
IEEE Access, Vol 12, Pp 145079-145094 (2024)
Modern renewable power operations can be enhanced by integrating deep neural networks, particularly for forecasting solar irradiance. Recent advancements in quantum computing have shown potential improvements in classical deep neural networks. Howeve
Externí odkaz:
https://doaj.org/article/25ce4cd8855240b4807ee024cb391619
Autor:
Matvei Anoshin, Asel Sagingalieva, Christopher Mansell, Dmitry Zhiganov, Vishal Shete, Markus Pflitsch, Alexey Melnikov
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-14 (2024)
The drug design process currently requires considerable time and resources to develop each new compound that enters the market. This work develops an application of hybrid quantum generative models based on the integration of parameterized quantum ci
Externí odkaz:
https://doaj.org/article/befb5560bf3b49f8b5b0fcb555027d50
Publikováno v:
IEEE Access, Vol 12, Pp 54732-54744 (2024)
A metaverse is composed of a physical-space and virtual-space, with the aim of having users in both the virtual reality and the real world experience. Prioritization is essential, but it is not straight-forwarded due to the limitation of computing re
Externí odkaz:
https://doaj.org/article/a83e6ccb25e1464695033411325f25ce
Publikováno v:
IEEE Transactions on Quantum Engineering, Vol 5, Pp 1-11 (2024)
The escalating threat and impact of network-based attacks necessitate innovative intrusion detection systems. Machine learning has shown promise, with recent strides in quantum machine learning offering new avenues. However, the potential of quantum
Externí odkaz:
https://doaj.org/article/0e6826d858b745c0a451d3210f92a5a8
Autor:
Aman Darolia, Rajender Singh Chhillar, Musaed Alhussein, Surjeet Dalal, Khursheed Aurangzeb, Umesh Kumar Lilhore
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
IntroductionCardiovascular disease (CVD) stands as a pervasive catalyst for illness and mortality on a global scale, underscoring the imperative for sophisticated prediction methodologies within the ambit of healthcare data analysis. The vast volume
Externí odkaz:
https://doaj.org/article/1d6692e256bd432cbe585372a7b78230