[HTML][HTML] Machine learning method for simulation of adsorption separation: comparisons of model's performance in predicting equilibrium concentrations

G Yin, FJI Alazzawi, S Mironov, F Reegu… - Arabian Journal of …, 2022 - Elsevier
In this work, we implemented different models for predicting adsorption separation of a dye
from aqueous solution using porous materials. The equilibrium data of solute concentrations …

Abundant wave solutions for generalized Hietarinta equation with Hirota's bilinear operator

X Shen, J Manafian, M Jiang, OA Ilhan… - … Physics Letters B, 2022 - World Scientific
In this work, we study the generalized (2+ 1)-dimensional Hietarinta equation by utilizing
Hirota's bilinear method. In addition, the lump solution and breather solution are presented …

Periodic, Cross‐Kink, and Interaction between Stripe and Periodic Wave Solutions for Generalized Hietarinta Equation: Prospects for Applications in Environmental …

G Li, J Manafian, M Seyyedi… - Advances in …, 2022 - Wiley Online Library
In the current work, the modified (2+ 1)‐dimensional Hietarinta model is considered by
employing Hirota's bilinear scheme. Likewise, the bilinear formalism is obtained for the …

Leveraging clustering techniques to drive sustainable economic innovation in the India–Gulf interchange

I Rashid Al-Shamsi, B Shannaq - Cogent Social Sciences, 2024 - Taylor & Francis
The collaboration between India and the Gulf regions presents a promising opportunity for
sustainable economic innovation amidst global challenges. However, there is a notable …

Application of forest optimization algorithm for the resource constraint project scheduling

A Yuesti, RA Putri, HT Hazim… - Industrial …, 2022 - eprints.unmas.ac.id
Project scheduling is one of the most complex yet important issues in project-based
planning. Scheduling is a topic that has entered the project from the production space and …

[PDF][PDF] Machine learning model-ensuring electronic exam quality using mining association rules

B Shannaq - Machine Learning, 2020 - researchgate.net
Overall the objective of the Electronic Exam quality is to help students reach effective
learning outcomes. The developed analytical model in this work could be used as an …

[PDF][PDF] Clustering technology for analysing small and medium enterprises to develop strategies for sustainable development

K Sadriwala, B Shannaq, L Khan - Int. J. Innov. Creativity Change, 2020 - researchgate.net
The survival rate of Small and Medium Enterprises is decreasing despite several measures
taken by governments all over the world. To apprehend the current scenario, this research …

[PDF][PDF] Three-sigma scale model for measuring student interest in social media-effective tool for improving the educational process in the coronavirus (Covid-19) period

B Shannaq, FJI Alazzawi - International Journal of Advanced …, 2020 - researchgate.net
This work developed a general procedure for reliability analysis, and a new threesigma
scale model to measure the student's interest in answering the questionnaire questions …

[PDF][PDF] Software Product Quality Management Methodology & the Quantitative Assessment of Analyzability Indicators

B Shannaq, R Adebiaye - International Journal of Recent …, 2020 - researchgate.net
The research paper developed a new software metric methodology for evaluating the
analyzability indicator for software products. The proposed research methodology provided …

[PDF][PDF] Machine learning Model for Generating Software Engineering Work Ethic's Course Syllabus Designed for Iraq's Work Environment

FJI Alazzawi, B Shannaq - Mach. Learn, 2020 - researchgate.net
In this research paper, Machine learning techniques have been used to discover the highest
information value occurs in the contents of the targeted factors that have a greater impact …