The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Modern control theories such as systems engineering approaches try to solve nonlinear system problems by revelation of causal relationship or co-relationship among the components; most of those approaches focus on control of sophisticatedly modeled white-boxed systems. We suggest an application of actor-critic reinforcement learning approach to control a nonlinear, complex and black-boxed system....
In this paper, we explore the use of recent conditional generative adversarial network framework for image to image translation applied to the domain of heterogeneous face sketch synthesis. Since the inception of the adversarial framework in 2014, great success has been noted with several variants till date. Further, we introduce a new dataset for composite sketch images. In particular we explore...
Recently, various technologies related to the 4th Industrial Revolution (cloud, Big Data, Internet of Things, artificial intelligence, etc.) have become issues and deep learning has become a favorite technique for big data and the studies using related techniques have been conducted on astronomy, physics, Science, and statistical analysis. The literature published by the researchers is increasingly...
The crop productivity depends on environmental factors or product resources, such as temperature, humidity, labor and electrical costs. However, above all, crop disease is the crucial factor and causes 20–30% reduction of the productivity in case of its infection. Thus, the disease of the crop is the important factor affecting the productivity of the crops. Therefore, the farmer concentrates on the...
In distributed DNN training, the speed of reading and updating model parameters greatly affects model training time. In this paper we investigate the performance of deep neural network training with parameter sharing based on shared memory for distributed machine learning. We propose a shared memory-based modification of the deep learning framework. In our framework, remote shared memory is used to...
These days a lot of malware are generated. In order to deal with the new malware, we need new ways to detect malware. In this paper, we introduce a method to detect malware using deep learning. First, we generate images from benign files and malware. Second, by using deep learning, we train a model to detect malware. Then, by the trained model, we detect malware. By using malware images and deep learning,...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.