Search
Now showing items 1-7 of 7
A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic
(Elsevier Ltd, 2020)
While the world has experience with many different types of infectious diseases, the current crisis related to the spread of COVID-19 has challenged epidemiologists and public health experts alike, leading to a rapid search ...
Short-term wind speed forecasting system using deep learning for wind turbine applications
(Institute of Advanced Engineering and Science, 2020)
It is very important to accurately detect wind direction and speed for wind energy that is one of the essential sustainable energy sources. Studies on the wind speed forecasting are generally carried out for long-term ...
Automatic discriminative feature extraction using Convolutional Neural Network for remote sensing image classification
(Asian Association on Remote Sensing, 2020)
Supervised approaches require selection of training samples from all classes and then a set of highly discriminative feature descriptors are extracted to represent each class. Traditional classification methods employee ...
The effects of augmented training dataset on performance of convolutional neural networks in face recognition system
(Institute of Electrical and Electronics Engineers Inc., 2019)
Nowadays, deep learning methods have been used in many areas such as big data analysis, speech and image processing with the increasing processing power and the development of graphics processors. In particular, face ...
A decision support system for diabetes prediction using machine learning and deep learning techniques
(Institute of Electrical and Electronics Engineers Inc., 2019)
With the continuing increase in the number of the deadly diseases that threaten both human health and life, medical Decision Support Systems (DSS) continue to prove their effectiveness in providing physicians and other ...
EDLA-EFDS: A novel ensemble deep learning approach for electrical fault detection systems
(Elsevier Ltd, 2022)
Early detection of electrical faults is a very essential research area due to its positive influence on network stability and customer satisfaction. Despite of the electrical fault detection problem has been researched ...
Web page classification with Google Image Search results
(arXiv, 2020)
In this paper, we introduce a novel method that combines multiple neural network results to decide the class of the input.
This is the first study which used the method for web pages classification. In our model, each ...
