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Genetic algorithms and heuristics hybridized for software architecture recovery
(Springer, 2023-06-26)
Large scale software systems must be decomposed into modular units to reduce maintenance efforts. Software Architecture Recovery (SAR) approaches have been introduced to analyze dependencies among software modules and ...
Studying green video distribution as a whole
(ACM, 2023-06-09)
This paper highlights the current trends and the necessary research directions for achieving carbon-effective streaming services. Collaboration between the end-to-end delivery pipeline vendors is encouraged to design ...
Sorec: Self-organizing and resource efficient clustered blockchain network
(Elsevier, 2023-09)
With the emergence of Industry 4.0, the features of the technologies that are utilized in broad range of areas are obliged to change according to the new necessities. Especially, the network requirements have to be adopted ...
Offloading deep learning powered vision tasks from UAV to 5G edge server with denoising
(IEEE, 2023-06)
Offloading computationally heavy tasks from an unmanned aerial vehicle (UAV) to a remote server helps improve battery life and can help reduce resource requirements. Deep learning based state-of-the-art computer vision ...
Redundant encoding and packaging for segmented live media
(ACM, 2023-06-16)
We present the MPEG standardization activity on redundant encoding and packaging for live segmented media. The standardization includes profiling the Dynamic Adaptive Streaming over HTTP (DASH) Media Presentation Description ...
Need for low latency: Media over QUIC
(ACM, 2023-06-16)
This paper overviews developing a low-latency solution for media ingest and distribution, the work undertaken by the IETF's new Media over QUIC (moq) working group. It summarizes the motivation, goals, current work and ...
Modeling the lighting in scenes as style for auto white-balance correction
(IEEE, 2023)
Style may refer to different concepts (e.g. painting style, hairstyle, texture, color, filter, etc.) depending on how the feature space is formed. In this work, we propose a novel idea of interpreting the lighting in the ...
BERT2OME: Prediction of 2′-O-methylation modifications from RNA sequence by transformer architecture based on BERT
(IEEE, 2023-06)
Recent work on language models has resulted in state-of-the-art performance on various language tasks. Among these, Bidirectional Encoder Representations from Transformers (BERT) has focused on contextualizing word embeddings ...
Illumination-guided inverse rendering benchmark: Learning real objects with few cameras
(Elsevier, 2023-10)
The realm of 3D computer vision and graphics has experienced exponential growth recently, enabling the creation of realistic virtual environments and digital representations of real-world objects. Central to this progression ...
Time series predictive models for opponent behavior modeling in bilateral negotiations
(Springer, 2023)
In agent-based negotiations, it is crucial to understand the opponent’s behavior and predict its bidding pattern to act strategically. Foreseeing the utility of the opponent’s coming offer provides valuable insight to the ...
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