The proceedings contain 28 papers. The topics discussed include: shine a light – e-learning initiatives from two EU projects;university students grading before and during COVID-19 crisis;virtualization process of lea...
ISBN:
(纸本)9789898704399
The proceedings contain 28 papers. The topics discussed include: shine a light – e-learning initiatives from two EU projects;university students grading before and during COVID-19 crisis;virtualization process of learning in a developing country;prerequisites for stem classes using an example of linear algebra for a course in machine learning: interactive online vs traditional classes;an approach to semantic educational content mining using NLP;using virtual reality simulation to reduce stage fright during public appearances;critical determinants for learning analytics adoption in higher education;teachers' digital competences before and during the COVID-19 pandemic for the improvement of security and defense higher education;forced innovation in a learning environment: students’ experience of distance learning during the pandemic;digitization innovation in university education;and digital transformation of complex educational scenarios (comparative study of final qualification assessment for foreign languages programs).
The proceedings contain 157 papers. The topics discussed include: RDF multi-query optimization algorithm for query rewriting using common subgraphs;a heuristic guided optimized strategy for non-deterministic mutation;...
ISBN:
(纸本)9781450362948
The proceedings contain 157 papers. The topics discussed include: RDF multi-query optimization algorithm for query rewriting using common subgraphs;a heuristic guided optimized strategy for non-deterministic mutation;a power anomaly detection architecture based on DNN;e-learning application and current situation in Hong Kong hotel;workflow-based knowledge flow modeling and research;and superconvergence of DG method for a class of general hyperbolic equations with periodic boundary conditions.
The proceedings contain 38 papers. The topics discussed include: technological, organizational and personal factors of remote work: an exploratory study;promoting the road safety through the augmented reality: an Ital...
ISBN:
(纸本)9789898704405
The proceedings contain 38 papers. The topics discussed include: technological, organizational and personal factors of remote work: an exploratory study;promoting the road safety through the augmented reality: an Italian experience in occupational safety and health;exploring consumer attitude toward sustainable energy-efficient appliance: preliminary findings for augmented reality application;the human in the home: privacy invasion risks of smart home appliances and devices;virtual reality applications in autism spectrum disorder: a systematic review;cybernetic philosophy of digital public governance: modeling recursive sensory systems;leveraging SOCMINT: extrapolating cyber threat intelligence from Russia-Ukraine conflict;expectations of software development education: students vs professionals;the emergence of liminal cyberspace – challenges for the ontological work in cybersecurity;artificial intelligence and gender equality: a systematic mapping study;centralized or de-centralized data and algorithms in the Finnish health care infrastructure;and single MR image super-resolution using generative adversarial network.
The Computational Visual Media(CVM)conference series is intended to provide a prominent international forum for exchanging innovative research ideas and significant computational methodologies that either underpin or ...
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The Computational Visual Media(CVM)conference series is intended to provide a prominent international forum for exchanging innovative research ideas and significant computational methodologies that either underpin or apply visual media.
In order to meet the requirement of multiple target parameters prediction under reactor accident, a multi-input multi-output prediction model based on recurrent neural network is proposed. Based on the data samples fr...
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Online offensive behaviour continues to rise with the increasing popularity and use of social media. Various techniques have been used to address this issue. However, most existing studies consider offensive content i...
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This paper proposed a deep learning model for multi-label text classification to effectively manage and utilize the network text information and realize the automatic labeling of text content. The neural network word ...
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Drones are essential for civil engineering operations like logistics and data collecting. Current autonomous drone studies mainly concerns itself with safe path planning in static scenarios;however one of the major ch...
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End-to-end training has emerged as a prominent trend in speech recognition, with Conformer models effectively integrating Transformer and CNN architectures. However, their complexity and high computational cost pose d...
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