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On spectral analysis of the Internet delay space and detecting anomalous routing paths
(TÜBİTAK, 2019)
Latency is one of the most critical performance metrics for a wide range of applications. Therefore, it is important to understand the underlying mechanisms that give rise to the observed latency values and diagnose the ...
Evidential deep learning to quantify classification uncertainty
(Neural Information Processing Systems Foundation, 2018)
Deterministic neural nets have been shown to learn effective predictors on a wide range of machine learning problems. However, as the standard approach is to train the network to minimize a prediction loss, the resultant ...
Guest editorial trustworthiness in social multimedia analytics and delivery
(IEEE, 2019-03)
The papers in this special issue focus on trustworthiness in multimedia communications. Recently, social multimedia content is being delivered to users with a high quality of experience (QoE) with the advance of multimedia ...
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 ...
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 ...
Partial observable update for subjective logic and its application for trust estimation
(Elsevier, 2015)
Subjective Logic (SL) is a type of probabilistic logic, which is suitable for reasoning about situations with
uncertainty and incomplete knowledge. In recent years, SL has drawn a significant amount of attention from the ...
Hi–C interaction graph analysis reveals the impact of histone modifications in chromatin shape
(Springer, 2021-07-17)
Chromosome conformation capture experiments such as Hi–C map the three-dimensional spatial organization of genomes in a genome-wide scale. Even though Hi–C interactions are not biased towards any of the histone modifications, ...
Common media client data (CMCD): Initial findings
(Association for Computing Machinery, Inc, 2021-07-16)
In September 2020, the Consumer Technology Association (CTA) published the CTA-5004: Common Media Client Data (CMCD) specification. Using this specification, a media client can convey certain information to the content ...
Emotion as an emergent phenomenon of the neurocomputational energy regulation mechanism of a cognitive agent in a decision-making task
(Sage, 2021-02)
Biological agents need to complete perception-action cycles to perform various cognitive and biological tasks such as maximizing their wellbeing and their chances of genetic continuation. However, the processes performed ...
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