Deep Convolutional Neural Networks for 1D Inversion of Electromagnetic Data
| Main Authors: | Puzyrev, Vladimir, Swidinsky, Andrei, Meka, Shiv |
|---|---|
| Format: | Conference Paper |
| Published: |
2019
|
| Online Access: | http://hdl.handle.net/20.500.11937/76414 |
Similar Items
Seismic Inversion with Deep Neural Networks: a Feasibility Analysis
by: Puzyrev, Vladimir, et al.
Published: (2019)
by: Puzyrev, Vladimir, et al.
Published: (2019)
3D Simulations of Deep Directional Electromagnetic Tools in High-angle and Horizontal Wells
by: Puzyrev, Vladimir, et al.
Published: (2016)
by: Puzyrev, Vladimir, et al.
Published: (2016)
Interpretation of deep directional resistivity measurements acquired in high-angle and horizontal wells using 3-D inversion
by: Puzyrev, Vladimir, et al.
Published: (2018)
by: Puzyrev, Vladimir, 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)
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)
Orientation and scale based weights initialization scheme for deep convolutional neural networks
by: Azizi Abdullah,, et al.
Published: (2020)
by: Azizi Abdullah,, et al.
Published: (2020)
Inversion-based interpretation of 3D borehole directional resistivity measurements acquired in high-angle and horizontal wells
by: Puzyrev, Vladimir, et al.
Published: (2016)
by: Puzyrev, Vladimir, et al.
Published: (2016)
Efficient parallel solutions to 3D electromagnetic problems using potentials
by: Puzyrev, Vladimir, et al.
Published: (2013)
by: Puzyrev, Vladimir, et al.
Published: (2013)
Conditioning of the 3D Marine Controlled Source Electromagnetic Inversion
by: Pethick, Andrew, et al.
Published: (2010)
by: Pethick, Andrew, et al.
Published: (2010)
Convolutional neural networks and deep belief networks
for analysing imbalanced class issue in handwritten dataset
by: Amri, A’inur A’fifah, et al.
Published: (2017)
by: Amri, A’inur A’fifah, et al.
Published: (2017)
Ensemble Augmentation for Deep Neural Networks Using 1-D Time Series Vibration Data
by: Atik, Faysal, et al.
Published: (2022)
by: Atik, Faysal, et al.
Published: (2022)
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)
A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)
A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)
A deep convolutional neural network for vibration-based health-monitoring of rotating machinery
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)
by: Ong Pauline, Ong Pauline, et al.
Published: (2023)
Exploring imbalanced class issue in handwritten dataset using convolutional neural networks and deep belief networks
by: Amri, A’inur A’fifah, et al.
Published: (2016)
by: Amri, A’inur A’fifah, et al.
Published: (2016)
Mammogram breast mass classification using deep convolutional neural network / Mohd Nafie Maslan
by: Mohd Nafie, Maslan
Published: (2022)
by: Mohd Nafie, Maslan
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)
Banana Seedlings Health Monitoring For Micro Air Vehicles Using Deep Convolutional Neural Network
by: Tan, Shu Chuan
Published: (2021)
by: Tan, Shu Chuan
Published: (2021)
pyROM: A computational framework for reduced order modeling
by: Puzyrev, Vladimir, et al.
Published: (2019)
by: Puzyrev, Vladimir, et al.
Published: (2019)
Feature map size selection for fMRI classification on end-to-end deep convolutional neural networks
by: Suhaimi, Farahana, et al.
Published: (2018)
by: Suhaimi, Farahana, et al.
Published: (2018)
Deep learning faster region-based convolutional neural network technique for oil palm tree counting
by: Xinni, Liu, et al.
Published: (2020)
by: Xinni, Liu, et al.
Published: (2020)
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)
Facial Recognition Using Convolutional Neural Network Using Real-Time
Data
by: Bharath, Kumara J, et al.
Published: (2024)
by: Bharath, Kumara J, et al.
Published: (2024)
A deep learning-based approach for mitigating falls from height with computer vision: Convolutional neural network
by: Fang, W., et al.
Published: (2019)
by: Fang, W., et al.
Published: (2019)
Young and mature oil palm tree detection and counting using convolutional neural network deep learning method
by: Abd Mubin, Nurulain, et al.
Published: (2019)
by: Abd Mubin, Nurulain, et al.
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)
Micro-seismic event detection and location in underground mines by using Convolutional Neural Networks (CNN) and deep learning
by: Huang, L., et al.
Published: (2018)
by: Huang, L., et al.
Published: (2018)
Exploring the use of SPIKE-based solvers on large electromagnetic modeling
by: Rodriguez Bernabeu, S., et al.
Published: (2016)
by: Rodriguez Bernabeu, S., et al.
Published: (2016)
Structural fault diagnosis of UAV based on convolutional neural network and data processing technology
by: Ma, Yumeng, et al.
Published: (2023)
by: Ma, Yumeng, et al.
Published: (2023)
Image Splicing Detection With Constrained Convolutional Neural Network
by: Lee, Yang Yang
Published: (2019)
by: Lee, Yang Yang
Published: (2019)
Malaysia traffic sign recognition with convolutional neural network
by: Lau, M., et al.
Published: (2015)
by: Lau, M., et al.
Published: (2015)
Handwritten character recognition using convolutional neural network
by: Khandokar, I., et al.
Published: (2021)
by: Khandokar, I., et al.
Published: (2021)
Calf posture recognition using convolutional neural network
by: Tung, Tan Chen, et al.
Published: (2022)
by: Tung, Tan Chen, et al.
Published: (2022)
Quantitative 3d Integration Of Electromagnetic And Seismic Data To Optimize Structural Similarity Inversion Results In Offshore Northwest Borneo, Malaysia
by: Saleh, Ahmad Shahir
Published: (2023)
by: Saleh, Ahmad Shahir
Published: (2023)
Electromagnetic response prediction for conductive, permeable, heterogeneous steel-cased wells
by: Puzyrev, Vladimir, et al.
Published: (2017)
by: Puzyrev, Vladimir, et al.
Published: (2017)
A multilayered convolutional sparse coding framework for modeling of pooling operation of convolution neural networks
by: , Abdul Wahid, et al.
Published: (2019)
by: , Abdul Wahid, et al.
Published: (2019)
Transfer learning and hybrid deep convolutional neural networks models for autism spectrum disorder classification from EEG signals
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2024)
by: Al-Qazzaz, Noor Kamal, et al.
Published: (2024)
Super-low resolution face recognition using integrated Efficient Sub-Pixel Convolutional Neural Network (ESPCN) and Convolutional Neural Network (CNN)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)
by: Talab, Mohammed Ahmed, et al.
Published: (2019)
Improving Hankel transform filters for parallel electromagnetic modeling tools
by: Gruver, Y., et al.
Published: (2015)
by: Gruver, Y., et al.
Published: (2015)
Similar Items
-
Seismic Inversion with Deep Neural Networks: a Feasibility Analysis
by: Puzyrev, Vladimir, et al.
Published: (2019) -
3D Simulations of Deep Directional Electromagnetic Tools in High-angle and Horizontal Wells
by: Puzyrev, Vladimir, et al.
Published: (2016) -
Interpretation of deep directional resistivity measurements acquired in high-angle and horizontal wells using 3-D inversion
by: Puzyrev, Vladimir, et al.
Published: (2018) -
Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017) -
Monitoring and Control of Hydrocyclones by Use of Convolutional Neural Networks and Deep Reinforcement Learning
by: Giglia, Keith Carmelo
Published: (2022)