In recent years, 3D point cloud content has gained attention thanks to applications such as virtual, augmented or mixed reality, real-time immersive communications, and autonomous driving systems. However, raw point c...
In recent years, 3D point cloud content has gained attention thanks to applications such as virtual, augmented or mixed reality, real-time immersive communications, and autonomous driving systems. However, raw point clouds comprise large amount of data, and compression is mandatory to allow efficient transmission and storage. The MPEG group proposed the standard called Geometry-based Point Cloud Compression (G-PCC) implemented in the Test Condition Category 1 and 3 (TMC13) software. TMC13 can significantly reduce the amount of data in static point clouds, but requires a high computational cost making real-time compression unfeasible, especially for devices with limited computational power and energy resources. This paper presents a computational cost and coding efficiency evaluation of the G-PCC coding tools. Two main contributions are presented: first, a coding efficiency analysis of different G-PCC tools; second, a complexity profiling of the G-PCC coding steps aimed at understanding the computational effort distribution. This work provides the first complexity assessment of G-PCC. The presented results can help in the proposal of complexity reduction approaches for the development of more efficient versions of G-PCC for real-time purposes.
Intelligent computing techniques have a paramount importance to the treatment of cybersecurity incidents. In such Artificial Intelligence (AI) context, while most of the algorithms explored in the cybersecurity domain...
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The formation of consortia between public and private institutions to achieve projects with a common objective is a practice considered usual in Brazil. Due to the different destinations between these institutions, di...
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In the last decades, the Brazilian Cerrado biome has undergone major transformations due to the expansion of the agricultural frontier. The region called MATOPIBA acronym for states Maranhão, Tocantins, Piauí...
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Defect detection is a critical component in ensuring the highest quality of printed circuit board manufacture. The work investigates the application of transfer learning to identify YOLOv8 design flaws. The YOLOv8 mod...
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This study evaluates an agent-based reinforcement learning framework for model-based testing (MBT). The framework's performance was assessed on three key metrics: effectiveness and efficiency in achieving model co...
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To improve the vocabulary ability is very important in language learning. Thus, if we can learn and remember a word very effectively, then we will be able to master a language more quickly. Therefore, many scholars be...
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PCB defect detection and classification is vital in electronics manufacturing to ensure high-quality and safe products. Manual inspection is time-consuming, costly, and prone to errors. To address this, automated meth...
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The projects categorisation is a crucial step in the project portfolio management (PPM). Categorising projects allows the organisation to identify categories with a lack or excess of projects, according to its strateg...
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