Soil quality assessment based on machine learning approach for cultivated lands in semi-humid environmental condition part of Black Sea region
To manage arable areas according to land resources for future generations, it is crucial to
determine the quality of the soils. The main purpose of this study is to identify soil quality for …
determine the quality of the soils. The main purpose of this study is to identify soil quality for …
COOT optimization algorithm on training artificial neural networks
A Özden, İ İşeri - Knowledge and Information Systems, 2023 - Springer
In recent years, significant advancements have been made in artificial neural network
models and they have been applied to a variety of real-world problems. However, one of the …
models and they have been applied to a variety of real-world problems. However, one of the …
Predictive modeling of geopolymer concrete properties incorporating phosphogypsum and slag using machine learning algorithms
B Pratap - Transportation Infrastructure Geotechnology, 2024 - Springer
The waste products phosphogypsum (PG) and ground granulated blast furnace slag (GGBS)
contained alumina and silica which were helpful in the geopolymerisation. This research …
contained alumina and silica which were helpful in the geopolymerisation. This research …
Analysis of mechanical properties of fly ash and bauxite residue based geopolymer concrete using ANN, Random Forest and Counter propagation neural network
B Pratap - Asian Journal of Civil Engineering, 2024 - Springer
In recent years, geopolymer concrete has attracted considerable interest as a sustainable
substitute for conventional Portland cement-based concrete. The geopolymer concrete …
substitute for conventional Portland cement-based concrete. The geopolymer concrete …
Research on DEM geomorphic factor terrain recognition algorithm using probabilistic neural networks based on tactile systems
M Xing, Q Du, Z Bi - … of the Institute of Measurement and …, 2024 - journals.sagepub.com
The accurate recognition of unknown terrain by robots plays a vital role in completing
walking tasks. Haptic-based terrain recognition methods have their own advantages over …
walking tasks. Haptic-based terrain recognition methods have their own advantages over …
Estimation of Mung Bean [Vigna radiata (L.) Wilczek] Pod Shell Rate Using Curve Fitting and Artificial Neural Network Techniques
Mung beans are a nutrient-dense dietary option since they are low in fat and high in fiber,
protein, and vitamins. Estimating the amount of pod shells is important because it gives …
protein, and vitamins. Estimating the amount of pod shells is important because it gives …
The residual life prediction of power grid transformers based on GA-ELM computational model and digital twin data
X Wang, C Li, J Zhang - EAI Endorsed Transactions on Energy …, 2024 - publications.eai.eu
As one of the core equipment of the power grid, the operation status of transformers directly
affects the stability and reliability of the power system. To accurately evaluate the remaining …
affects the stability and reliability of the power system. To accurately evaluate the remaining …