S. I. Abba

发表

Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation

Nadhir Al-Ansari, Sinan Q. Salih, Zaher Mundher Yaseen, 2019, IEEE Access.

Prediction of the effects of environmental factors towards novel corona virus (COVID-19) outbreak using AI-based models

Rabiu Aliyu Abdulkadir, Muhammad Sani Gaya, S. I. Abba, 2021 .

River water modelling prediction using multi-linear regression, artificial neural network, and adaptive neuro-fuzzy inference system techniques

Jazuli Abdullahi, Sinan Jasim Hadi, S. I. Abba, 2017 .

Estimation of water quality index using artificial intelligence approaches and multi-linear regression

Muhammad Sani Gaya, Norhaliza Abdul Wahab, Parvaneh Esmaili, 2020 .

Implementation of hybrid neuro-fuzzy and self-turning predictive model for the prediction of concrete carbonation depth: A soft computing technique

Shaban Ismael Albrka Ali, S. I. Abba, Suleiman Abdulrahman, 2021, Results in Engineering.

Modelling of Uncertain System: A comparison study of Linear and Non-Linear Approaches

Ukashatu Abubakar, S. I. Abba, M. S. Gaya, 2019, 2019 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS).

Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach

Vahid Nourani, S. I. Abba, Gozen Elkiran, 2019, Journal of Hydrology.

Compressive Strength of Self-Compacting Concrete Modified with Rice Husk Ash and Calcium Carbide Waste Modeling: A Feasibility of Emerging Emotional Intelligent Model (EANN) Versus Traditional FFNN

Shaban Ismael Albrka Ali, S. I. Abba, Salim Idris Malami, 2021, Arabian Journal for Science and Engineering.

Simulation for response surface in the HPLC optimization method development using artificial intelligence models: A data-driven approach

S. I. Abba, A. Usman, S. Isik, 2020 .

Multi-parametric modeling of water treatment plant using AI-based non-linear ensemble

Vahid Nourani, S. I. Abba, Gozen Elkiran, 2019, Journal of Water Supply: Research and Technology-Aqua.

Implementation of soft-computing models for prediction of flexural strength of pervious concrete hybridized with rice husk ash and calcium carbide waste

S. I. Abba, Salim Idris Malami, A. Usman, 2021, Modeling Earth Systems and Environment.

Comparing Machine Learning Models with Witczak NCHRP 1-40D Model for Hot-Mix Asphalt Dynamic Modulus Prediction

Shaban Ismael Albrka Ali, S. I. Abba, I. D. Uwanuakwa, 2022, Arabian Journal for Science and Engineering.

Sandstone groundwater salinization modelling using physicochemical variables in Southern Saudi Arabia: Application of novel data intelligent algorithms

S. I. Abba, I. Aljundi, A. Usman, 2022, Ain Shams Engineering Journal.

Inverse groundwater salinization modeling in a sandstone’s aquifer using stand-alone models with an improved non-linear ensemble machine learning technique

S. I. Abba, I. Aljundi, A. Usman, 2022, Journal of King Saud University - Computer and Information Sciences.

Feasibility of computational intelligent techniques for the estimation of spring constant at joint of structural glass plates: a dome-shaped glass panel structure

S. I. Abba, Salim Idris Malami, I. Rufai, 2022, Glass Structures & Engineering.

Prediction of compressive strength of concrete incorporated with jujube seed as partial replacement of coarse aggregate: a feasibility of Hammerstein–Wiener model versus support vector machine

S. I. Abba, Salim Idris Malami, Y. Ibrahim, 2021, Modeling Earth Systems and Environment.