[HTML][HTML] Properties of geopolymers sourced from construction and demolition waste: A review
Geopolymers have been recognised as a viable replacement to ordinary Portland cement
(OPC), providing a cleaner solution since it can significantly reduce greenhouse gas …
(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 …
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 …
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 …
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
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 …
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 …
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 …
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
Inadequate agricultural planning compounded by inaccurate predictions results in an
inflated local market rate and prompts higher importation of wheat. To tackle this problem …
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
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 …
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 …
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
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 …
models for modelling cyanobacteria blue-green algae (CBGA) at two rivers located in the …