Low-quality 3D face recognition (FR) is a crucial application in human-computer interaction. However, it is sensitive to changes in 3D shapes and textures caused by time, resulting in poorer recognition performan...
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In vehicular ad hoc networks, few existing works on task offloading focus on co-offloading at intra-vehicle level and inter-vehicle level for deep neural network (DNN) inference. Moreover, they ignore the decentralize...
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(Extended Abstract) While most previous research focused only on the textual content of documents, advanced support for document management in Digital Libraries, for Open science, requires handling all aspects of a do...
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ISBN:
(纸本)9783031438486;9783031438493
(Extended Abstract) While most previous research focused only on the textual content of documents, advanced support for document management in Digital Libraries, for Open science, requires handling all aspects of a document: from structure, to content, to context. These different but inter-related aspects cannot be handled separately, and were traditionally ignored in Digital Libraries. We propose a graph-based unifying representation and handling model based on the definition of an ontology that integrates all the different perspectives and drives the document description in order to boost the effectiveness of document management. We also show how even simple algorithms can profitably use our proposed approach to return relevant and personalized outcomes in different document management tasks.
The stable marriage problem has wide applications in distributed computing such as the placement of virtual machines in a distributed system. The stable marriage problem requires one to find a marriage with no blockin...
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Generative Artificial Intelligence (GenAI) offers new opportunities to implement useful features within computer Supported Collaborative Learning (CSCL) environments. Despite these growing prospects, there is still li...
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ISBN:
(纸本)9783031679971;9783031679988
Generative Artificial Intelligence (GenAI) offers new opportunities to implement useful features within computer Supported Collaborative Learning (CSCL) environments. Despite these growing prospects, there is still limited research concerning the application ofGenAI in learning environments. Thiswork in progress aims to evaluate the mediation of a masked GenAI chatbot in the setting of the CSCL web application PyramidApp. A quasi-experimental within-subjects study was designed to assess the effect of GenAI chatbot intervention within the environment of PyramidApp. In the setting of 9 online activities, we evaluated the effect of the GenAI chatbot activity in 105 conversational chat rooms. The findings revealed that the GenAI chatbot provides useful feedback as students rate the chatbot's answers higher than their peers' answers (M-Chatbot = 4.11, MStudents = 3.91). The presence of the chatbot has an effect on group communication with the length of messages increased in chat rooms where the chatbot was present. Moreover, chatbot behavior to rate the students' answers was correlated with the students' behavior. The present study offers valuable insights into the optimal strategies for integrating a GenAI Large Language Model into educational tools and computer supported learning.
The complexity and unpredictability of disaster areas pose significant challenges to post-disaster rescue operations. UAVs, with their flexibility and rapid response capability, are able to perform various tasks and p...
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We present an algorithm for the efficient generation of all pairwise non-isomorphic cycle permutation graphs, i.e. cubic graphs with a 2-factor consisting of two chordless cycles, and non-hamiltonian cycle permutation...
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Due to ongoing climate change and the related increased risk of drought, wildfires in the Mediterranean are expected to become more frequent and intense. This note introduces the use of Deep Learning to produce suscep...
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Fish farming has been gaining prominence in recent years, almost doubling world production in a ten-year period. Fish farming products are an important source of protein in coastal or insular countries, as they are th...
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ISBN:
(纸本)9783031646041;9783031646058
Fish farming has been gaining prominence in recent years, almost doubling world production in a ten-year period. Fish farming products are an important source of protein in coastal or insular countries, as they are the most abundant natural resource in these regions and are part of the daily diet of their populations. Recent technological advances allow the evolution of the practice of fish farming through new tools such as Artificial Intelligence and Internet of Things. Among the tasks that stand out is the phenotyping of animals raised in captivity during various stages of growth to assess the interaction of the species with the environment or even the prevalence of certain characteristics after successive reproductive selections. Phenotyping is usually performed manually through a digital image taken by an expert and post-processed in specialized measurement software using an object of known size as a reference in the image. Based on this problem, this work proposes a computer Vision System to automate the phenotyping of two common species in Brazilian fish farming: Piaractus Mesopotamicus (Pacu) and Colossoma macropomum (Tambaqui). The results indicate a positive correlation between the measurements performed by humans and the proposed computer Vision system, presenting itself as a viable alternative to accelerate the process of collecting information for reproductive selection in commercial fish farming.
Unlike Right Atrium (RA), Left Atrium (LA) presents distinctive challenges, including much thinner myocardial walls, complex and irregular morphology, as well as diversity in individual’s structure, making off-the-sh...
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