Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Hany Alashwal"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Many current statistical and machine learning methods have been used to explore Alzheimer’s disease (AD) and its associated patterns that contribute to the disease. However, there has been limited success in understanding the relationship
Externí odkaz:
https://doaj.org/article/9a1af208a16b4574bb5c4ff1c49584f3
Publikováno v:
Informatics in Medicine Unlocked, Vol 48, Iss , Pp 101533- (2024)
Reverse vaccinology is an emerging concept in the field of vaccine development as it facilitates the identification of potential vaccine candidates. Biomedical research has been revolutionized with the recent innovations in Generative Artificial Inte
Externí odkaz:
https://doaj.org/article/660c1456a28b43a9869572e75ae9dd6d
Publikováno v:
PLoS ONE, Vol 18, Iss 12 (2023)
Externí odkaz:
https://doaj.org/article/454a8e71b27d4a1ab341bd0cc85f708e
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract Proteins are tiny players involved in the activation and deactivation of multiple signaling cascades through interactions in cells. The TNFR1 and MADD interact with each other and mediate downstream protein signaling pathways which cause neu
Externí odkaz:
https://doaj.org/article/e70d2da2b797451bb7e608b7a173362c
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4443 (2023)
A simple supervised learning model can predict a class from trained data based on the previous learning process. Trust in such a model can be gained through evaluation measures that ensure fewer misclassification errors in prediction results for diff
Externí odkaz:
https://doaj.org/article/4cd0c87d7634448ab4f0846093a0b259
Autor:
Mubashir Hassan, Muhammad Shahzad Iqbal, Sawaira Naqvi, Hany Alashwal, Ahmed A. Moustafa, Andrzej Kloczkowski
Publikováno v:
Frontiers in Molecular Biosciences, Vol 9 (2022)
MicroRNAs (miRNAs) are small non-coding RNAs that play critical roles in gene expression, cell differentiation, and immunity against viral infections. In this study, we have used the computational tools, RNA22, RNAhybrid, and miRanda, to predict the
Externí odkaz:
https://doaj.org/article/1220eaed8842459d801f40a5fbfc09ce
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2022)
A spiking neural network model inspired by synaptic pruning is developed and trained to extract features of hand-written digits. The network is composed of three spiking neural layers and one output neuron whose firing rate is used for classification
Externí odkaz:
https://doaj.org/article/54e777148e4140fba95880fb9be1a529
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2022)
Many studies on the drift-diffusion model (DDM) explain decision-making based on a unified analysis of both accuracy and response times. This review provides an in-depth account of the recent advances in DDM research which ground different DDM parame
Externí odkaz:
https://doaj.org/article/a6a749f25e8b45ffb35661bd5fc23f6c
Publikováno v:
Applied Sciences, Vol 12, Iss 16, p 8117 (2022)
Twitter, as a popular social network, has been targeted by different bot attacks. Detecting social bots is a challenging task, due to their evolving capacity to avoid detection. Extensive research efforts have proposed different techniques and approa
Externí odkaz:
https://doaj.org/article/55302dd2a41042b6b4e578a120c10355
Publikováno v:
Frontiers in Computer Science, Vol 2 (2020)
This study uses independent latent class analysis (LCA) and latent transition analysis (LTA) to explore accurate diagnosis and disease status change of a big Alzheimer's disease Neuroimaging Initiative (ADNI) data of 2,132 individuals over a 3-year p
Externí odkaz:
https://doaj.org/article/51d23c5c609f41c88ff034e25b62e11f