[HTML][HTML] Effect of inclusion of natural pozzolan and silica fume in cement-based mortars on the compressive strength utilizing artificial neural networks and support …

HA Dahish, MS Alfawzan, BA Tayeh… - Case Studies in …, 2023 - Elsevier
This study illustrates the effect of incorporating natural pozzolan (NP) and silica fume (SF) in
cement-based mortars on the compressive strength. Up to 40% of the weight of cement in …

E (3) equivariant graph neural networks for robust and accurate protein-protein interaction site prediction

R Roche, B Moussad, MH Shuvo… - PLoS Computational …, 2023 - journals.plos.org
Artificial intelligence-powered protein structure prediction methods have led to a paradigm-
shift in computational structural biology, yet contemporary approaches for predicting the …

A novel algorithm for classification using a low rank approximation of kernel-based support vector machines with applications

O Chatrabgoun, M Esmaeilbeigi… - Communications in …, 2023 - Taylor & Francis
Support vector machines (SVMs), as a powerful technique for classification, are becoming
increasingly popular in a wide range of applications. This is simply due to their robustness …

Employing Machine Learning Techniques to Detect Protein-Protein Interaction: A Survey, Experimental, and Comparative Evaluations

K Taha - bioRxiv, 2023 - biorxiv.org
This survey paper provides an in-depth analysis of various machine learning techniques
and algorithms that are utilized in the detection of PPI (Protein-Protein Interactions). For …

Forecasting Goal-Oriented Activities: A Deep Learning Approach Leveraging Cross-Activity Relationships

Y Zhu, X Bi, G Adomavicius, S Curley - Available at SSRN 4651870, 2023 - papers.ssrn.com
Many individuals have difficulty maintaining consistent efforts toward their goals, such as
maintaining a healthy lifestyle or mastering a second language. Online platforms have …