[HTML][HTML] Properties of geopolymers sourced from construction and demolition waste: A review

M Alhawat, A Ashour, G Yildirim, A Aldemir… - Journal of Building …, 2022 - Elsevier
Geopolymers have been recognised as a viable replacement to ordinary Portland cement
(OPC), providing a cleaner solution since it can significantly reduce greenhouse gas …

Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge …

A Malik, M Jamei, M Ali, R Prasad, M Karbasi… - Agricultural Water …, 2022 - Elsevier
Accurate ahead forecasting of reference evapotranspiration (ET o) is crucial for effective
irrigation scheduling and management of water resources on a regional scale. A variety of …

[HTML][HTML] Polymer Concretes Based on Various Resins: Modern Research and Modeling of Mechanical Properties

A Palamarchuk, P Yudaev, E Chistyakov - Journal of Composites Science, 2024 - mdpi.com
This review is devoted to experimental studies and modeling in the field of mechanical and
physical properties of polymer concretes and polymer-modified concretes. The review …

Estimate-at-completion (EAC) prediction using Archimedes optimization with adaptive fuzzy and neural networks

AA Mhady, C Budayan, AP Gurgun - Automation in Construction, 2024 - Elsevier
Construction companies estimate project costs at the beginning of the project; however,
many factors impact the final project cost. Estimate at Completion (EAC) is a critical …

Prediction of weighted arithmetic water quality index for urban water quality using ensemble machine learning model

U Mohseni, CB Pande, SC Pal, F Alshehri - Chemosphere, 2024 - Elsevier
Urban water quality index (WQI) is an important factor for assessment quality of groundwater
in the urban and rural area. In this research, the Weighted Arithmetic Water Quality Index …

Interpretation the influence of hydrometeorological variables on soil temperature prediction using the potential of deep learning model

S Elsayed, M Gupta… - Knowledge …, 2023 - … journals.publicknowledgeproject.org
The importance of soil temperature (ST) quantification can contribute to diverse ecological
modelling processes as well as for agricultural activities. Over the literature, it was evident …

Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction

M Ali, RC Deo, Y **ang, R Prasad, J Li, A Farooque… - Scientific Reports, 2022 - nature.com
Inadequate agricultural planning compounded by inaccurate predictions results in an
inflated local market rate and prompts higher importation of wheat. To tackle this problem …

Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States

H Tao, S Salih, AY Oudah, SI Abba… - … Science and Pollution …, 2022 - Springer
Natural streams longitudinal dispersion coefficient (Kx) is an essential indicator for pollutants
transport and its determination is very important. Kx is influenced by several parameters …

[HTML][HTML] An accelerated gradient-based optimization development for multi-reservoir hydropower systems optimization

Y Fang, I Ahmadianfar, A Samadi-Koucheksaraee… - Energy Reports, 2021 - Elsevier
Hydropower is one of the significant renewable energy resources. It is regularly requested at
peak time steps to meet the load requirements of power systems resources allocation …

Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning–based gamma test variable selection and empirical wavelet transform

S Heddam, ZM Yaseen, MW Falah, L Goliatt… - … Science and Pollution …, 2022 - Springer
This study aims to evaluate the usefulness and effectiveness of four machine learning (ML)
models for modelling cyanobacteria blue-green algae (CBGA) at two rivers located in the …