Rice straw: status, management and strategies for sustainable development with special emphasis on the Northern India and government-supported initiatives
A Kaur, R Singh - Clean Technologies and Environmental Policy, 2024 - Springer
As one of the world's most significant staple crops, rice has played a crucial part in meeting
the primary demand for food for inhabitants across the globe. China and India are the two …
the primary demand for food for inhabitants across the globe. China and India are the two …
Machine learning approaches for adequate prediction of flow resistance in alluvial channels with bedforms
In natural rivers, flow conditions are mainly dependent on flow resistance and type of
roughness. The interactions among flow and bedforms are complex in nature as bedform …
roughness. The interactions among flow and bedforms are complex in nature as bedform …
A novel data-driven machine learning techniques to predict compressive strength of fly ash and recycled coarse aggregates based self-compacting concrete
S Aggarwal, R Singh, A Rathore, K Kapoor… - Materials Today …, 2024 - Elsevier
Compressive strength (CS) of concrete is one of the most important factors in the
construction industry and various time and effort-consuming tasks are required to measure it …
construction industry and various time and effort-consuming tasks are required to measure it …
Research on Urban Storm Flood Simulation by Coupling K-means Machine Learning Algorithm and GIS Spatial Analysis Technology into SWMM Model
C Liu, C Hu, C Zhao, Y Sun, T Xie, H Wang - Water Resources …, 2024 - Springer
Accurate flood simulation has significant practical implications for urban flood management.
The focus of this study is to develop a new flood model (K-SWMMG) based on the Storm …
The focus of this study is to develop a new flood model (K-SWMMG) based on the Storm …
Machine learning-based prediction of concrete strength properties with coconut shell as partial aggregate replacement: A sustainable approach in construction …
This study investigates the application of machine learning (ML) models to predict the
compressive, flexural, and split tensile strength of concrete incorporating coconut shell as a …
compressive, flexural, and split tensile strength of concrete incorporating coconut shell as a …
Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis
Forecasting the compressive strength of high-performance concrete (HPC) is crucial for its
practical applications. However, conducting experimental tests for this purpose demands …
practical applications. However, conducting experimental tests for this purpose demands …
Predictive Modelling of Flexural Strength in Recycled Aggregate-Based Concrete: A Comprehensive Approach with Machine Learning and Global Sensitivity Analysis
This research focuses on predicting Flexural Strength (F ck) in recycled aggregate-based
concrete through a comprehensive approach integrating machine learning models and …
concrete through a comprehensive approach integrating machine learning models and …
Optimizing seasonal discharge predictions: a hybridized approach with AI and non-linear models
S Sharma, M Patel - Multiscale and Multidisciplinary Modeling …, 2024 - Springer
Discharge prediction plays a crucial role in hydrology and to reduce the flash flood hazards
during monsoon season, it is necessary to build an accurate flow prediction system …
during monsoon season, it is necessary to build an accurate flow prediction system …
[PDF][PDF] corrected Proof
AA Mir, M Patel - 2024 - researchgate.net
In natural rivers, flow conditions are mainly dependent on flow resistance and type of
roughness. The interactions among flow and bedforms are complex in nature as bedform …
roughness. The interactions among flow and bedforms are complex in nature as bedform …