With the rapid development of artificial intelligence technology, its application in the field of education and teaching is becoming increasingly widespread, bringing revolutionary changes to traditional education mod...
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In this paper, a novel vehicle-driven intelligent traffic control model is proposed, assuming that the time interval of vehicle arrivals at an intersection obeys Markov, aiming to effectively alleviate vehicular conge...
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In the field of vehicle driving, the popularization of intelligent driving technology is the trend of the times. Many program models are applied to solve the problem of external environment perception in intelligent d...
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With the rapid development of civil UAV technology, their wide application in various fields such as agriculture, transportation, logistics and monitoring has become reality. However, to enable safe and reliable UAVs,...
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computer vision systems have been an area of study for multiple areas of engineering. Vision systems have been studied greatly in the area of robotics, as it is of great interest to better automate processes. Many per...
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ISBN:
(纸本)9798350345650
computer vision systems have been an area of study for multiple areas of engineering. Vision systems have been studied greatly in the area of robotics, as it is of great interest to better automate processes. Many perception systems have been created to improve object handling capabilities for robots. This article seeks to create a computer vision system capable of detecting objects and communicating with a robot in a cost-effective way. To achieve the development of the project the incremental methodology is used, having as first increment the object detection algorithm, the second increment the communication system and the third increment the implementation of an object classification library. In this project, object segmentation tools and neural networks are used to create an intelligent object classification system. The cost for this project are lower than others solution from the market. Although the costs show notorious differences, no motion detection tests were performed, which will be done as a second phase of the project.
Virtual reality and immersive environments are key research areas with wide applications in scientific and educational fields. These technologies require new approaches for interactive features, demanding innovative n...
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Efficiently navigating through extensive datasets is fundamental for enhancing productivity, facilitating informed decision-making, and fostering innovation. To achieve this, the integration of state-of-the-art techno...
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The proceedings contain 91 papers. The topics discussed include: sign language detection to enhance online communication for deaf and mute individuals through deep learning models;non-small cell lung cancer classifica...
ISBN:
(纸本)9798350368802
The proceedings contain 91 papers. The topics discussed include: sign language detection to enhance online communication for deaf and mute individuals through deep learning models;non-small cell lung cancer classification using densely connected neural network;design of two-way Indonesian sign language system based on smart-glove with artificial neural network classification method;smart wheelchair control based on spatial features of hand gesture;an enhanced approach for defect detection: implementing CNN algorithm and identifying catastrophic forgetting;design and implementation of a machine learning-based system for atrial fibrillation diagnosis;sensor placement strategy for contaminant detection in water distribution network using greedy algorithm and local search technique;and toileting expression detection system for children with disabilities based on feature extraction using support vector machine.
Modern Ontology-Based engineering (OBE) systems, built over the foundations of Knowledge-Based engineering (KBE), leverage ontology-based technologies and the semantic web to capture and formalise knowledge holistical...
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ISBN:
(纸本)9783031807749;9783031807756
Modern Ontology-Based engineering (OBE) systems, built over the foundations of Knowledge-Based engineering (KBE), leverage ontology-based technologies and the semantic web to capture and formalise knowledge holistically. This comprehensive knowledge repository can subsequently feed design and decision support tools with robust generative features. However, the integration and reuse of knowledge poses challenges for which it is necessary to develop appropriate methods and tools capable of handling diverse types of knowledge from both human experience and databases. The objective of this paper is to discuss the current limitations of OBE systems to address knowledge integration and reuse, based on the research and experiences of the authors in the aerospace manufacturing industry. This aims to provide a set of Research Questions (RQ) and the author's position to them, to serve as future research work and topics of discussion for the scientific community.
In recent years, driven by the new generation of artificial intelligence technology, emotional computing has garnered significant attention and achieved substantial progress. Multimodal emotional computing based on te...
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