Predicting the blast-induced vibration velocity using a bagged support vector regression optimized with firefly algorithm
X Ding, M Hasanipanah, H Nikafshan Rad… - Engineering with …, 2021 - Springer
Ground vibration is the most detrimental effect induced by blasting in surface mines. This
study presents an improved bagged support vector regression (BSVR) combined with the …
study presents an improved bagged support vector regression (BSVR) combined with the …
Improving accuracy of local geoid model using machine learning approaches and residuals of GPS/levelling geoid height
This study aims to use GPS/Levelling data and machine learning techniques (MLs) to model
a high precision local geoid for Kuwait. To improve the accuracy of a local geoid the global …
a high precision local geoid for Kuwait. To improve the accuracy of a local geoid the global …
[HTML][HTML] Estimating the seven transformational parameters between two geodetic datums using the steepest descent algorithm of machine learning
This study evaluates the steepest descent algorithm as a tool for root mean square (RMS)
error optimization in geodetic reference systems to improve the integrity of transformation …
error optimization in geodetic reference systems to improve the integrity of transformation …
A comparison of existing transformation models to improve coordinate conversion between geodetic reference frames in Nigeria
Efficient transformation parameters are key to effective geodetic operations between any
systems. With the advancement in technology, an improved interaction between geodetic …
systems. With the advancement in technology, an improved interaction between geodetic …
Resampling Methods in Neural Networks: From Point to Interval Application to Coordinate Transformation
VF Rofatto, ML Silva Bonimani… - Journal of Surveying …, 2023 - ascelibrary.org
In the development of neural networks, many realizations are performed to decide which
solution provides the smallest prediction error. Due to the inevitable random errors …
solution provides the smallest prediction error. Due to the inevitable random errors …
Adjustment of Real-time Kinematic-Global Positioning System (RTK-GPS) Survey Data: A Comparative Performance Analysis of the Back Propagation Artificial Neural …
EK Larbi, MS Peprah… - International Journal of …, 2024 - dergipark.org.tr
This study seeks to conduct an empirical evaluation of the performances of two soft
computing methodologies comprising the Levenberg-Marquardt Back Propagation Artificial …
computing methodologies comprising the Levenberg-Marquardt Back Propagation Artificial …
The application of an artificial neural network for 2D coordinate transformation
AI Abbas, OYM Alhamadani… - Journal of Intelligent …, 2022 - degruyter.com
Abstract Clark1880, WGS1984, and ITRF08 are the reference systems used in Iraq. The
ITRF08 and WGS84 represent the global reference frames. In the majority of instances, the …
ITRF08 and WGS84 represent the global reference frames. In the majority of instances, the …
Empirical study on the integration of total least squares and radial basis function neural network for coordinate transformation
KB Bernard, YY ZIGGAH - Ghana Journal of Science, Technology and …, 2020 - gjstd.org
Abstract Total Least Squares (TLS) is noted to be a solution approach to solving several
geodetic problems. The method has the ability to estimate unknown quantities that are …
geodetic problems. The method has the ability to estimate unknown quantities that are …
Time-space consistency strategy for live-virtual-constructive (LVC) integrated simulation environment
Y Gao, X Deng, Y Zhang, X Zhou - Journal of Physics …, 2023 - iopscience.iop.org
Abstract Constructing a unified Live-Virtual-Constructive (LVC) integrated simulation
environment has always been a major goal in the modeling and simulation (M&S) field, and …
environment has always been a major goal in the modeling and simulation (M&S) field, and …
[PDF][PDF] Applied Computing and Geosciences
This study evaluates the steepest descent algorithm as a tool for root mean square (RMS)
error optimization in geodetic reference systems to improve the integrity of transformation …
error optimization in geodetic reference systems to improve the integrity of transformation …