Results 1 to 10 of about 40,865 (297)

Ensuring satisfied, committed shoppers - store variety or entertainment? [PDF]

open access: yesThe Retail and Marketing Review, 2016
In the competitive retail environment, attracting and retaining shoppers is imperative for the success of shopping malls. Therefore, creating satisfied, committed shoppers is essential for mall survival.
M Wiese
doaj  

Single-Image Super Resolution of Remote Sensing Images with Real-World Degradation Modeling

open access: yesRemote Sensing, 2022
Limited resolution is one of the most important factors hindering the application of remote sensing images (RSIs). Single-image super resolution (SISR) is a technique to improve the spatial resolution of digital images and has attracted the attention of ...
Jizhou Zhang   +4 more
doaj   +1 more source

Image-to-Image Translation with Conditional Adversarial Networks

open access: yes, 2018
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping.
Efros, Alexei A.   +3 more
core   +1 more source

Mechanical circulatory support in pediatric patients with biventricular and univentricular heartsCentral MessagePerspective

open access: yesJTCVS Open, 2021
Background: Mechanical circulatory support (MCS) in pediatric patients remains challenging because of small body size, limited availability of approved devices, and the variety of etiologies, including biventricular and univentricular physiologies.
Marcus Granegger, PhD   +8 more
doaj   +1 more source

Skeleton-Based Data Augmentation for Sign Language Recognition Using Adversarial Learning

open access: yesIEEE Access
In recent years, visual-based sign language recognition (SLR) has become an active research area with the advancement of deep learning. However, it is difficult to collect sign language data, and many datasets suffer from data lack and imbalance, leading
Yuriya Nakamura, Lei Jing
doaj   +1 more source

One-Class Classification Using Generative Adversarial Networks

open access: yesIEEE Access, 2019
One-class classification (OCC) problem has drawn increasing attention in recent years. It expands the range of classification from pre-defined categories to undefined categories.
Yang Yang   +4 more
doaj   +1 more source

DEEPFAKE Image Synthesis for Data Augmentation

open access: yesIEEE Access, 2022
Field of medical imaging is scarce in terms of a dataset that is reliable and extensive enough to train distinct supervised deep learning models. One way to tackle this problem is to use a Generative Adversarial Network to synthesize DEEPFAKE images to ...
Nawaf Waqas   +4 more
doaj   +1 more source

Complex Algebras of Arithmetic

open access: yes, 2009
An 'arithmetic circuit' is a labeled, acyclic directed graph specifying a sequence of arithmetic and logical operations to be performed on sets of natural numbers.
Düntsch, Ivo, Pratt-Hartmann, Ian
core   +2 more sources

METHODS AND MEANS TO IMPROVE THE EFFICIENCY OF NETWORK TRAFFIC SECURITY MONITORING BASED ON ARTIFICIAL INTELLIGENCE

open access: yesВісник Національного технічного університету "ХПÌ": Системний аналіз, управління та інформаційні технології, 2023
This paper aims to provide a solution for malicious network traffic detection and categorization. Remote attacks on computer systems are becoming more common and more dangerous nowadays. This is due to several factors, some of which are as follows: first
Artem Dremov
doaj   +1 more source

Semantic Image Synthesis via Adversarial Learning

open access: yes, 2017
In this paper, we propose a way of synthesizing realistic images directly with natural language description, which has many useful applications, e.g. intelligent image manipulation.
Dong, Hao   +3 more
core   +1 more source

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