Characterization of Ore and Bulk Solid Systems by Use of Multivariate Image Analysis and Deep Learning Neural Networks
The development of soft sensor technologies facilitates the characterization and modelling of complex systems in the mining and mineral processing industry. This thesis is aimed to investigate the state-of-the-art convolutional neural networks in the mineral processing and geometallurgy applications...
| Main Author: | Fu, Yihao |
|---|---|
| Format: | Thesis |
| Published: |
Curtin University
2022
|
| Online Access: | http://hdl.handle.net/20.500.11937/92723 |
Similar Items
Froth image analysis by use of transfer learning and convolutional neural networks
by: Fu, Y., et al.
Published: (2018)
by: Fu, Y., et al.
Published: (2018)
Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)
The Effect of Audit Office-Size on Earnings Management:
An Evidence from UK
by: FU, YIHAO
Published: (2017)
by: FU, YIHAO
Published: (2017)
Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023)
by: Noor Hazirah, Hassan, et al.
Published: (2023)
Tool wear prediction in turning using workpiece surface profile images and deep learning neural networks
by: Lim, Meng Lip, et al.
Published: (2022)
by: Lim, Meng Lip, et al.
Published: (2022)
Incremental learning of deep neural network for robust vehicle classification
by: Ahmad Mimi Nathiratul Athriyah,, et al.
Published: (2022)
by: Ahmad Mimi Nathiratul Athriyah,, et al.
Published: (2022)
Supply chain flexibility assessment by multivariate regression and neural networks
by: Jeeva, Ananda, et al.
Published: (2010)
by: Jeeva, Ananda, et al.
Published: (2010)
Supply chain flexibility assessment by multivariate regression and neural networks
by: Jeeva, Ananda, et al.
Published: (2010)
by: Jeeva, Ananda, et al.
Published: (2010)
Characterization of particle and bulk solids of Arabic gum powder at different particle sizes
by: Rosland Abel, Stashia Eleaness
Published: (2022)
by: Rosland Abel, Stashia Eleaness
Published: (2022)
Deep neural networks for spam classification
by: Kasmani, Mohamed Khizer
Published: (2013)
by: Kasmani, Mohamed Khizer
Published: (2013)
Structural damage identification based on autoencoder neural networks and deep learning
by: Pathirage, C., et al.
Published: (2018)
by: Pathirage, C., et al.
Published: (2018)
Seismic Inversion with Deep Neural Networks: a Feasibility Analysis
by: Puzyrev, Vladimir, et al.
Published: (2019)
by: Puzyrev, Vladimir, et al.
Published: (2019)
Advanced Deep Learning
for Medical Image Analysis
by: Nugroho, Bayu Adhi
Published: (2022)
by: Nugroho, Bayu Adhi
Published: (2022)
Prediction of nitrate-nitrogen leaching in paddy soil using multivariate analysis and artificial neural network
by: Hussain, Hazilia
Published: (2012)
by: Hussain, Hazilia
Published: (2012)
Extracting ore texture information using image analysis
by: Zhang, Jian, et al.
Published: (2012)
by: Zhang, Jian, et al.
Published: (2012)
Monitoring and Control of Hydrocyclones by Use of Convolutional Neural Networks and Deep Reinforcement Learning
by: Giglia, Keith Carmelo
Published: (2022)
by: Giglia, Keith Carmelo
Published: (2022)
Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization
by: Usmani, Usman Ahmad, et al.
Published: (2023)
by: Usmani, Usman Ahmad, et al.
Published: (2023)
Deep recurrent neural networks for supernovae classification
by: Charnock, Tom, et al.
Published: (2017)
by: Charnock, Tom, et al.
Published: (2017)
The analysis of teaching quality evaluation for the college sports dance by Convolutional Neural Network model and Deep Learning
by: Guo, Shuqing, et al.
Published: (2024)
by: Guo, Shuqing, et al.
Published: (2024)
Multitasking deep neural network models for Arabic dialect sentiment analysis
by: Alali, Muath Mohammad Oqlah
Published: (2022)
by: Alali, Muath Mohammad Oqlah
Published: (2022)
Bleeding classification of enhanced wireless capsule endoscopy images using deep convolutional neural network
by: Rosdiana, Shahril, et al.
Published: (2020)
by: Rosdiana, Shahril, et al.
Published: (2020)
Deep learning for image classification
by: Koi, Chin Chong
Published: (2024)
by: Koi, Chin Chong
Published: (2024)
A hybrid spiking neural network model for multivariate data classification and visualization.
by: Ming, Leong Yii, et al.
Published: (2011)
by: Ming, Leong Yii, et al.
Published: (2011)
Spatial Data Mining Model For Landfill Sites Suitability Mapping Based On Neural Networks And Multivariate Analysis
by: Abujayyab, Sohaib K. M.
Published: (2017)
by: Abujayyab, Sohaib K. M.
Published: (2017)
Adam optimization algorithm for wide and deep neural network
by: Mohd Jais, Imran Khan, et al.
Published: (2019)
by: Mohd Jais, Imran Khan, et al.
Published: (2019)
Deep neural network for forecasting inflow and outflow in Indonesia
by: Suhartono,, et al.
Published: (2019)
by: Suhartono,, et al.
Published: (2019)
Multivariate image analysis of realgar–orpiment flotation froths
by: Aldrich, Chris, et al.
Published: (2017)
by: Aldrich, Chris, et al.
Published: (2017)
Deep Learning Approaches to Image Texture Analysis in Material Processing
by: Liu, Xiu, et al.
Published: (2022)
by: Liu, Xiu, et al.
Published: (2022)
Medical image analysis using deep learning: a review
by: Nisa, Syed Qamrun, et al.
Published: (2019)
by: Nisa, Syed Qamrun, et al.
Published: (2019)
Estimation of Iron Ore Price in reference to Major Economic Indices using Artificial Neural Network
by: Kim, Yoochan
Published: (2024)
by: Kim, Yoochan
Published: (2024)
Using Convolutional Neural Networks to Develop State-of-the-Art Flotation Froth Image Sensors
by: Fu, Y., et al.
Published: (2018)
by: Fu, Y., et al.
Published: (2018)
A comparative study of deep learning algorithms in univariate and multivariate forecasting of the Malaysian stock market
by: Mohd. Ridzuan Ab. Khalil,, et al.
Published: (2023)
by: Mohd. Ridzuan Ab. Khalil,, et al.
Published: (2023)
Integrated Generative Adversarial Networks and Deep Convolutional Neural Networks for Image Data Classification A Case Study for COVID-19
by: Ku Muhammad Naim, Ku Khalif, et al.
Published: (2024)
by: Ku Muhammad Naim, Ku Khalif, et al.
Published: (2024)
Application of artificial neural networks and multivariate statistics to estimate UCS using textural characteristics
by: Manouchehrian, A., et al.
Published: (2012)
by: Manouchehrian, A., et al.
Published: (2012)
Fabrication Of Deep Green Light Emitting Diode On Bulk Gallium Nitride Substrate
by: Rais, Shamsul Amir Abdul, et al.
Published: (2019)
by: Rais, Shamsul Amir Abdul, et al.
Published: (2019)
Adaptive Second-order Derivative Approximate Greatest Descent Optimization for Deep Learning Neural Networks
by: Tan, Hong Hui
Published: (2019)
by: Tan, Hong Hui
Published: (2019)
U-Net based deep convolutional neural network models for liver segmentation from CT scan images
by: Khattab, Mahmoud Abdelazim Helmy Mahmoud
Published: (2021)
by: Khattab, Mahmoud Abdelazim Helmy Mahmoud
Published: (2021)
Speech emotion recognition using deep feedforward neural network
by: Alghifari, Muhammad Fahreza, et al.
Published: (2018)
by: Alghifari, Muhammad Fahreza, et al.
Published: (2018)
Development of English handwritten recognition using deep neural network
by: Gunawan, Teddy Surya, et al.
Published: (2018)
by: Gunawan, Teddy Surya, et al.
Published: (2018)
Parameter prediction for Lorenz Attractor by using Deep Neural Network
by: Nurnajmin Qasrina Ann, Ayop Azmi, et al.
Published: (2020)
by: Nurnajmin Qasrina Ann, Ayop Azmi, et al.
Published: (2020)
Similar Items
-
Froth image analysis by use of transfer learning and convolutional neural networks
by: Fu, Y., et al.
Published: (2018) -
Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017) -
The Effect of Audit Office-Size on Earnings Management:
An Evidence from UK
by: FU, YIHAO
Published: (2017) -
Web Phishing Classification Model using Artificial Neural Network and Deep Learning Neural Network
by: Noor Hazirah, Hassan, et al.
Published: (2023) -
Tool wear prediction in turning using workpiece surface profile images and deep learning neural networks
by: Lim, Meng Lip, et al.
Published: (2022)