Abba Bashir
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View article: State-of-art implementation of computing intelligent models for water demand modelling: A decade review and future direction
State-of-art implementation of computing intelligent models for water demand modelling: A decade review and future direction Open
The main insight from this research is that there has been significant progress in the development of computer-aided models for water demand modelling over the past two decades. These models are used to balance water demand and supply, whi…
View article: Metaheuristic-based prediction of shear resistance of headed stud connectors embedded in concrete coupled with SHAP explainability
Metaheuristic-based prediction of shear resistance of headed stud connectors embedded in concrete coupled with SHAP explainability Open
Accurate prediction of the shear strength (Vu) of headed stud connectors embedded in concrete is critical for ensuring the safety and reliability of structural systems. The present study employed machine learning (ML) techniques, specifica…
View article: Enhancing durability and sustainability in fly ash-slag concrete using advanced metaheuristic algorithms and explainable ML for compressive strength prediction
Enhancing durability and sustainability in fly ash-slag concrete using advanced metaheuristic algorithms and explainable ML for compressive strength prediction Open
Fly ash slag concrete (FASC), a supplementary cementitious material, has transformed construction by lowering the carbon footprint, minimizing waste, reducing labor costs, and improving durability and precision. Predicting compressive stre…
View article: Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete
Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete Open
Concrete made with additives like slag and fly ash has revolutionized construction by reducing carbon emissions, minimizing waste, lowering labor costs, and enhancing durability and accuracy. Predicting the compressive strength (CS) is vit…
View article: A new strategy using intelligent hybrid learning for prediction of water binder ratio of concrete with rice husk ash as a supplementary cementitious material
A new strategy using intelligent hybrid learning for prediction of water binder ratio of concrete with rice husk ash as a supplementary cementitious material Open
It is important to point out that the precise prediction of water binder ratio “w/b ratio” is indispensable for gaining the desirable characteristics of strength and duration of concrete constructions. This research offers a new method for…
View article: Investigation of the buckling behavior of square hollow columns fabricated from 7A04-T6 aluminum alloy through numerical analysis.
Investigation of the buckling behavior of square hollow columns fabricated from 7A04-T6 aluminum alloy through numerical analysis. Open
This research employed ANSYS 17 finite element analysis software to numerically consider the investigation of the buckling behavior of columns made from square hollow sections (SHS) composed of aluminum alloy. A validated modeling with non…
View article: Testing Artificial Intelligence Models for Solar Cook Stove Performance Prediction: Case Study of Agadez, Niger
Testing Artificial Intelligence Models for Solar Cook Stove Performance Prediction: Case Study of Agadez, Niger Open
Solar cook stoves are becoming an increasingly popular and sustainable option for cooking food, especially in areas where access to traditional cooking fuels is limited or where deforestation is a concern. However, the performance of solar…
View article: Supervised machine learning for identification of glass properties: Towards structural Stability and performance
Supervised machine learning for identification of glass properties: Towards structural Stability and performance Open
Classical and physics-based modelling is a basic way to describe how physical processes work, but it has many problems. For example, it uses a lot of computing power, takes a long time, and can't show how random and complicated processes w…
View article: High-strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm
High-strength concrete compressive strength prediction using an evolutionary computational intelligence algorithm Open
The most crucial mechanical property of concrete is compression strength (CS). Insufficient compressive strength can therefore result in severe failure and is very difficult to fix. Therefore, predicting concrete strength accurately and ea…
View article: An overview of streamflow prediction using random forest algorithm
An overview of streamflow prediction using random forest algorithm Open
Since the first application of Artificial Intelligence in the field of hydrology, there has been a great deal of interest in exploring aspects of future enhancements to hydrology. This is evidenced by the increasing number of relevant publ…
View article: Performance analysis and control of wastewater treatment plant using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Linear Regression (MLR) techniques
Performance analysis and control of wastewater treatment plant using Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multi-Linear Regression (MLR) techniques Open
In order to provide an effective tool for the simulation of wastewater treatment plant performance and control, a reliable model is essential. In the present study, two different artificial intelligence (AI) models; Adaptive Neuro-Fuzzy in…
View article: An overview of streamflow prediction using random forest algorithm
An overview of streamflow prediction using random forest algorithm Open
Since the first application of Artificial Intelligence in the field of hydrology, there has been a great deal of interest in exploring aspects of future enhancements to hydrology. This is evidenced by the increasing number of relevant publ…