作者:
Brodniansky, JurajLang, JánInstitute of Informatics
Information Systems and Software Engineering Faculty of Informatics and Information Technologies Slovak Technical University in Bratislava Bratislava Slovakia
Attention management in software development proves to be a highly relevant issue. It offers various ways of managing the user’s attention using visual perception of the work environment. Awareness of the workplace p...
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Fulfilling increasing performance demands of space and automotive applications can be problematic as high dependability is required. Memory is one of the most radiationsensitive parts, so it is often protected with in...
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User contributions is an important part in software development, the pursuit of identifying effective means of user contributions in software development is a crucial area of interest for software companies and their ...
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The focus group on drama patterns we organized at EuroPLoP 2023 attracted 16 participants (apart from the organizers), who together built a short drama play (created by Aleksandra Vranic) based on the motifs from the ...
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The amount of antisocial online behavior (AOB) in the political field has been on the rise in recent years. In the research, we are dealing with the reason for confusing AOB with other forms of antisocial behavior. We...
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The aim of this review is to explore the relationship between the architecture of microservices and antisocial behavior. Microservice architecture is a software design approach that involves decomposing a system into ...
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A network with critical data streams, where the timing of incoming and outgoing data is a necessity, is called a deterministic network. These networks are mostly used in association with real-time systems that use per...
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Safety/mission-critical applications require high dependability of the control systems. Their state-of-the-art protection approach is a system-level lockstep. This paper compares the system-level dual and triple locks...
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We summarize the results of the IEEE BigData 2024 Cup: Predicting Chess Puzzle Difficulty - a data science competition organized at the *** platform in association with the IEEE BigData 2024 conference. We describe th...
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In the model of the vehicle recognition algorithm implemented by the convolutional neural network,the model needs to compute and store a lot of *** many parameters occupy a lot of computational resources making it dif...
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In the model of the vehicle recognition algorithm implemented by the convolutional neural network,the model needs to compute and store a lot of *** many parameters occupy a lot of computational resources making it difficult to run on computers with poor ***,obtaining more efficient feature information of target image or video with better accuracy on computers with limited arithmetic power becomes the main goal of this *** this paper,a lightweight densely connected,and deeply separable convolutional network(DCDSNet)algorithmis proposed to achieve this *** Geometry Group(VGG)model is improved by utilizing the convolution instead of the fully connected module,the deeply separable convolution module,and the densely connected network module,with the first two modules reducing the parameters and the third module allowing the algorithm to have more features in a limited number of *** algorithm achieves better results in the mine vehicle recognition *** show that the recognition accuracy is improved by 4.41% compared to VGG19 and the amount of parameters is reduced by 71% compared to VGG19.
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