Geospatial intelligence in geotechnical engineering: a comprehensive investigation into SPT-N, soil types, and undrained shear strength for enhanced site …
W Hassan, M Qasim, B Alshameri, A Shahzad… - Bulletin of Engineering …, 2024 - Springer
The primary challenges in metropolitan planning, selection of sites, and develo**
preemptive safety measures lie in the characterization and precise appraisal of underground …
preemptive safety measures lie in the characterization and precise appraisal of underground …
A sustainable approach for estimating soft ground soil stiffness modulus using artificial intelligence
Soft soils pose significant challenges to the environment and construction of infrastructure
on them owing to their distinct characteristics such as low bearing strength, high water …
on them owing to their distinct characteristics such as low bearing strength, high water …
[HTML][HTML] Optimal Cost Design of RC T-Shaped Combined Footings
This paper shows the optimal cost design for T-shaped combined footings of reinforced
concrete (RC), which are subjected to biaxial bending in each column to determine the steel …
concrete (RC), which are subjected to biaxial bending in each column to determine the steel …
Mathematical Modeling of the Optimal Cost for the Design of Strap Combined Footings
This paper presents a novel mathematical model to determine the minimum cost for the
design of reinforced-concrete strap combined footings under biaxial bending, with each …
design of reinforced-concrete strap combined footings under biaxial bending, with each …
Estimation of impedance features and classification of carcinoma breast cancer using optimization techniques
M Asadi - BioMedInformatics, 2023 - mdpi.com
Breast cancer is the most prevalent form of cancer and the primary cause of cancer-related
mortality among women globally. Breast cancer diagnosis involves multiple variables …
mortality among women globally. Breast cancer diagnosis involves multiple variables …
Utilizing undisturbed soil sampling approach to predict elastic modulus of cohesive soils: a Gaussian process regression model
This study addresses a critical issue of sample disturbance in predicting the elastic modulus
(E s) of soft cohesive soils using machine learning techniques. Traditional approaches either …
(E s) of soft cohesive soils using machine learning techniques. Traditional approaches either …
Optimization-based innovative approach for economical design of reinforced concrete isolated footings
Breaking away from conventional pad footing designs, stepped and sloped footings provide
an innovative approach to isolated footing design. These alternative footings showcase a …
an innovative approach to isolated footing design. These alternative footings showcase a …
Prediction of California bearing ratio using hybrid regression models
W Wang, L Zhao, D Dong - Signal, Image and Video Processing, 2024 - Springer
CBR assesses the subgrade strength of road infrastructure, typically requiring time-
consuming laboratory testing. In this study, Machine Learning (ML) has been used to avoid …
consuming laboratory testing. In this study, Machine Learning (ML) has been used to avoid …
Roll dynamic coefficients approach of decay test using the generalized reduced gradient method (grg)
Sea transportation is the vehicle which dominant and vital in the world. The increasing
number of ships, types, and uncertain climate change have caused many ship accidents that …
number of ships, types, and uncertain climate change have caused many ship accidents that …
OPTIMAL SIZING OF HYBRID MICROGRIDS WITH CONSIDERATION OF GLOBAL WARMING EFFECTS: A MARS AND GRG APPROACH
Y YILMAZ - 2024 - open.metu.edu.tr
This study from the METU North Cyprus Campus projects load and power demands
spanning from 2026 to 2050, integrating regional global warming forecasts from the IPCC's …
spanning from 2026 to 2050, integrating regional global warming forecasts from the IPCC's …