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Pobithra Das
Institution:
Leading University
Observed institution:
Leading University
ORCID:
0009-0004-0984-1276
Observed ORCID:
0009-0004-0984-1276
OpenAlex ID:
A5114071292
Hybrid data-driven approaches to predicting the compressive strength of ultra-high-performance concrete using SHAP and PDP analyses
2024
·
Abul Kashem
, Rezaul Karim
, et al.
·
Case Studies in Construction Materials
·
157
Hybrid machine learning approach to prediction of the compressive and flexural strengths of UHPC and parametric analysis with shapley additive explanations
2023
·
Pobithra Das
, Abul Kashem
·
Case Studies in Construction Materials
·
118
Compressive strength prediction of sustainable concrete incorporating rice husk ash (RHA) using hybrid machine learning algorithms and parametric analyses
2024
·
Abul Kashem
, Rezaul Karim
, et al.
·
Case Studies in Construction Materials
·
101
A comparative study of machine learning models for construction costs prediction with natural gradient boosting algorithm and SHAP analysis
2024
·
Pobithra Das
, Abul Kashem
, et al.
·
Asian Journal of Civil Engineering
·
66
Compressive strength prediction of high-strength concrete using hybrid machine learning approaches by incorporating SHAP analysis
2023
·
Abul Kashem
, Pobithra Das
·
Asian Journal of Civil Engineering
·
65
Prediction of high-performance concrete compressive strength using deep learning techniques
2023
·
Naimul Islam
, Abul Kashem
, et al.
·
Asian Journal of Civil Engineering
·
52
Prediction of mechanical properties of eco-friendly concrete using machine learning algorithms and partial dependence plot analysis
2025
·
Tonmoy Roy
, Pobithra Das
, et al.
·
Smart Construction and Sustainable Cities
·
50
PDF
Alkali-activated binder concrete strength prediction using hybrid-deep learning along with shapely additive explanations and uncertainty analysis
2024
·
Pobithra Das
, Abul Kashem
, et al.
·
Construction and Building Materials
·
33
Prediction of compressive strength of high-performance concrete using optimization machine learning approaches with SHAP analysis
2024
·
Md Mahamodul Islam
, Pobithra Das
, et al.
·
Journal of Building Pathology and Rehabilitation
·
33
Sustainable of rice husk ash concrete compressive strength prediction utilizing artificial intelligence techniques
2023
·
Sourov Paul
, Pobithra Das
, et al.
·
Asian Journal of Civil Engineering
·
33
Prediction of splitting tensile strength of fiber-reinforced recycled aggregate concrete utilizing machine learning models with SHAP analysis
2025
·
Md Al Adnan
, Muhammad Babur
, et al.
·
Hybrid Advances
·
19
Hybrid deep learning models for multi-ahead river water level forecasting
2024
·
Abul Kashem
, Pobithra Das
, et al.
·
Earth Science Informatics
·
18
Comparative analysis of advanced deep learning models for predicting evapotranspiration based on meteorological data in bangladesh
2024
·
Sourov Paul
, Syeda Zehan Farzana
, et al.
·
Environmental Science and Pollution Research
·
13
A comparative study of ensemble machine learning models for compressive strength prediction in recycled aggregate concrete and parametric analysis
2024
·
Pobithra Das
, Abul Kashem
, et al.
·
Multiscale and Multidisciplinary Modeling Experiments and Design
·
13
Deep learning approaches for short-crop reference evapotranspiration estimation: a case study in Southeastern Australia
2024
·
Uaktho Baishnab
, Md. Sahadat Hossen Sajib
, et al.
·
Earth Science Informatics
·
12
Prediction of mechanical strength and performance of alkali-activated binders concrete using optimized machine learning with partial dependence plot
2025
·
Ahmed M. Yosri
, N. Sakthieswaran
, et al.
·
Structures
·
7
Water proofing performance assessment of hydrophobic agent-based Portland cement concrete: A multi-dimensional experiment approach
2024
·
Pobithra Das
, M. Aminul Haque
, et al.
·
Journal of Building Engineering
·
6
Metaheuristic-based machine learning approaches of compressive strength forecasting of steel fiber reinforced concrete with SHapley Additive exPlanations
2024
·
Abul Kashem
, Ayesha Anzer
, et al.
·
Multiscale and Multidisciplinary Modeling Experiments and Design
·
4
Predicting flexural strength of sustainable basalt fiber-reinforced concrete using machine learning algorithms incorporating a graphical user interface
2026
·
Hafiz Farooq Ahmad
, MD Arifuzzaman
, et al.
·
Journal of King Saud University - Science
·
1
PDF
Deep Learning Models for Reference Evapotranspiration Prediction in Bangladesh
2024
·
Abul Kashem
, Pobithra Das
, et al.
·
International Electronic Conference on Processes (ECP)
·
1
Hybrid PSO-ML models for strength properties prediction of green FRGP concrete and parametric explanation with SHAP and PDP algorithms
2026
·
M. Aminul Haque
, Abul Kashem
, et al.
·
Innovative Infrastructure Solutions
Metaheuristic-Optimized Machine Learning Models for Predicting Shear Strength of Circular Concrete-Filled Steel Tubes with SHAP-Based and PDP Interpretability
2026
·
Sourov Paul
, Pobithra Das
, et al.
·
Research Square
PDF
Correction: Prediction of high-performance concrete compressive strength using deep learning techniques
2023
·
Naimul Islam
, Abul Kashem
, et al.
·
Asian Journal of Civil Engineering
PDF
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Works count:
23
Citation count:
802
H-index:
13
I10-index:
15
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