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Description-aware fashion image inpainting with convolutional neural networks in coarse-to-fine manner
(The ACM Digital Library, 2020-04-14)
Inpainting a particular missing region in an image is a challenging vision task, and promising improvements on this task have been achieved with the help of the recent developments in vision-related deep learning studies. ...
Game of protocols: Is QUIC ready for prime time streaming?
(Wiley, 2020-05)
Quick User Datagram Protocol (UDP) Internet Connections (QUIC) is an experimental and low-latency transport protocol proposed by Google, which is still being improved and specified in the Internet Engineering Task Force ...
Predicting shuttle arrival time in istanbul
(Springer Nature, 2020)
Nowadays, transportation companies look for smart solutions in order to improve quality of their services. Accordingly, an intercity bus company in Istanbul aims to improve their shuttle schedules. This paper proposes ...
Not all mistakes are equal
(The ACM Digital Library, 2020)
In many tasks, classifiers play a fundamental role in the way an agent behaves. Most rational agents collect sensor data from the environment, classify it, and act based on that classification. Recently, deep neural networks ...
ADVISOR: An adjustable framework for test oracle automation of visual output systems
(IEEE, 2020-09)
Test oracles differentiate between the correct and incorrect system behavior. Automation of test oracles for visual output systems mainly involves image comparison, where a snapshot of the output is compared with respect ...
Using convolutional neural networks to automate aircraft maintenance visual inspection
(MDPI, 2020-12)
Convolutional Neural Networks combined with autonomous drones are increasingly seen as enablers of partially automating the aircraft maintenance visual inspection process. Such an innovative concept can have a significant ...
Forecasting multivariate time-series data using LSTM and mini-batches
(Springer, 2020)
Multivariate time-series data forecasting is a challenging task due to nonlinear interdependencies in complex industrial systems. It is crucial to model these dependencies automatically using the ability of neural networks ...
Extraction of novel features based on histograms of mfccs used in emotion classification from generated original speech dataset
(Kauno Technologijos Universitetas, 2020-02-17)
This paper introduces two significant contributions: one is a new feature based on histograms of MFCC (Mel-Frequency Cepstral Coefficients) extracted from the audio files that can be used in emotion classification from ...
Load and stress testing for SDN’s northbound API
(Springer Nature, 2020-01)
In this work, we apply load and stress testing for well-known Software defined networking (SDN) controllers from an SDN application perspective. More precisely, we focus on the communication between the controller and SDN ...
Taking inventory changes into account while negotiating in supply chain management
(SciTePress, 2020)
In a supply chain environment, supply chain entities need to make joint decisions on the transaction of goods under the issues quantity, delivery time and unit price in order to procure/sell goods at right quantities and ...
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