AIMC Topic: Neural Networks, Computer

Clear Filters Showing 15381 to 15390 of 31376 articles

Deep Transfer Learning for Land Use and Land Cover Classification: A Comparative Study.

Sensors (Basel, Switzerland)
Efficiently implementing remote sensing image classification with high spatial resolution imagery can provide significant value in land use and land cover (LULC) classification. The new advances in remote sensing and deep learning technologies have f...

Deep learning based MRI contrast synthesis using full volume prediction using full volume prediction.

Biomedical physics & engineering express
In Magnetic Resonance Imaging (MRI), depending on the image acquisition settings, a large number of image types or contrasts can be generated showing complementary information of the same imaged subject. This multi-spectral information is highly bene...

Optimization of Data Mining and Analysis System for Chinese Language Teaching Based on Convolutional Neural Network.

Computational intelligence and neuroscience
Chinese language is also an important way to understand Chinese culture and an important carrier to inherit and carry forward Chinese traditional culture. Chinese language teaching is an important way to inherit and develop Chinese language. Therefor...

International trade and finance exploration using network model of computer trade platform.

PloS one
International trade becomes increasingly frequent with the deepening of economic globalization. In order to ensure the stable and rapid development of international trade and finance, it is particularly crucial to predict the sales trend of foreign t...

RFARN: Retinal vessel segmentation based on reverse fusion attention residual network.

PloS one
Accurate segmentation of retinal vessels is critical to the mechanism, diagnosis, and treatment of many ocular pathologies. Due to the poor contrast and inhomogeneous background of fundus imaging and the complex structure of retinal fundus images, th...

Investigation of ANN architecture for predicting the compressive strength of concrete containing GGBFS.

PloS one
An extensive simulation program is used in this study to discover the best ANN model for predicting the compressive strength of concrete containing Ground Granulated Blast Furnace Slag (GGBFS). To accomplish this purpose, an experimental database of ...

Increasing efficiency and accuracy of magnetic interaction calculations in colloidal simulation through machine learning.

Journal of colloid and interface science
Calculating the magnetic interaction between magnetic particles that are positioned in close proximity to one another is a surprisingly challenging task. Exact solutions for this interaction exist either through numerical expansion of multipolar inte...

Stable Deep Neural Network Architectures for Mitochondria Segmentation on Electron Microscopy Volumes.

Neuroinformatics
Electron microscopy (EM) allows the identification of intracellular organelles such as mitochondria, providing insights for clinical and scientific studies. In recent years, a number of novel deep learning architectures have been published reporting ...

Phase response approaches to neural activity models with distributed delay.

Biological cybernetics
In weakly coupled neural oscillator networks describing brain dynamics, the coupling delay is often distributed. We present a theoretical framework to calculate the phase response curve of distributed-delay induced limit cycles with infinite-dimensio...

Deep two-way matrix reordering for relational data analysis.

Neural networks : the official journal of the International Neural Network Society
Matrix reordering is a task to permute the rows and columns of a given observed matrix such that the resulting reordered matrix shows meaningful or interpretable structural patterns. Most existing matrix reordering techniques share the common process...