Prediction of California bearing ratio using soil index properties by regression and machine-learning techniques
MA Khasawneh, HI Al-Akhrass, SR Rabab'ah… - International Journal of …, 2024 - Springer
This study proposes regression and machine-learning techniques to develop a validated
model that predicts the California Bearing Ratio (CBR) values for subgrade soil using soil …
model that predicts the California Bearing Ratio (CBR) values for subgrade soil using soil …
Rule extraction for fatty liver detection using neural networks
M Shahabi, H Hassanpour, H Mashayekhi - Neural Computing and …, 2019 - Springer
Non-alcoholic fatty liver disease (NAFLD) is one of the most common diseases in the world.
Recently the FibroScan device is used as a noninvasive, yet costly method to measure the …
Recently the FibroScan device is used as a noninvasive, yet costly method to measure the …
Modeling Academic Achievement of UUM Graduate Using Descriptive and Predictive Data Mining
F Siraj - Advanced Computer and Communication Engineering …, 2016 - Springer
The selection of data mining approaches is based on the ability of data mining as a powerful
tool for academic analysis purposes. In higher educational institution, data mining can be …
tool for academic analysis purposes. In higher educational institution, data mining can be …
Investigating the impact of different data representation with several classification models on magnetic resonance imaging (MRI)
S Elfallah, EAO Elfallah, MAE Abdalla… - 2021 IEEE 1st …, 2021 - ieeexplore.ieee.org
Alzheimer is one of the dementia diseases. It often infects elderly people who are beyond 65
years old. Alzheimer diagnosis (AD) relies on the analysis of the magnetic resonance …
years old. Alzheimer diagnosis (AD) relies on the analysis of the magnetic resonance …
[PDF][PDF] Modeling information technology competency using neural networks
Neural Network (NN) is one of the most important branches of AI that has been applied to an
increasing number of realworld problems of considerable complexity from the financial …
increasing number of realworld problems of considerable complexity from the financial …
[PDF][PDF] Classification Modeling for Malaysian Blooming Flower Images Using Neural Networks
MA Salahuddin - 2013 - core.ac.uk
Image processing is a rapidly growing research area of computer science and remains as a
challenging problem within the computer vision fields. For the classification of flower images …
challenging problem within the computer vision fields. For the classification of flower images …