1) Title: Implementation of New Technologies into the Education Process (INTEP)
Organizer-Chairman: Assoc. Prof. Martin Vlkovsky, PhD
Affilitation: Faculty of Military Leadership, Vice-Dean for Research
Academic Address: Kounicova 65, 662 10, Brno, Czech Republic
E-mail: martin.vlkovsky@unob.cz
Aim:The aim of the INTEP Special Session is to present the application potential of new technologies in the preparation of key personnel using appropriate models, simulations, experiments and case studies. Special Session INTEP offers an interdisciplinary connection of selected new technologies with the personnel preparation primarily in technical sciences and humanities, incl. the specifics of military education. Emphasis will be placed on evaluating the effectiveness of the use of such technologies and their added value for the educational process.
Topics:
- Modeling and Simulating Tools in Education Process
- Virtual and Augmented Reality in Education Process
- Live Simulation Tools in Education Process
- Special Aspects of Education in Armed Forces
(other topics related to the connection of new technologies and education process)
2) Title: Empowerment of Museums in Risk Management for Cultural Heritage by Means of New Information and Communication Technologies (EnRiCHMeNT)
Organizer-Chairman:
Paula Menino Homem (a, b, c)
phomem@letras.up.pt
Maria Manuela Pinto (a, b, d)
mmpinto@letras.up.pt
Bárbara Andrez (a, b, d)
barbaraandrez@gmail.com
(a) Faculty of Arts and Humanities of University of Porto (FLUP). Via Panorâmica, s/n, 4150-564 Porto, Portugal
(b) Transdisciplinary Culture, Space and Memory Research Centre (CITCEM)
(c) Department of Heritage Studies
(d) Department of Communication and Information Sciences
Aim:EnRiCHMeNT aims to be a facilitating context for sharing and discussion regarding digital proposals for documentation, communication, accessibility, security and education, to better enable museums to manage risk for collections, in articulation with their enjoyment.
Areas of interest cover digitisation, metadata, digital preservation, replication, inclusion and experience, cybersecurity, integrated management software, formal and non-formal educational solutions, such as modelling, simulation, games and gamification.
It seeks to explore case studies and innovative solutions that address the complexity inherent to the topic.
Topics:
- Museum/management documentation systems
- Communication and early warning systems
- Accessibility and fruition
- Security
- Formal and non-formal education
3) Title: Deep Learning and Machine Learning Technologies for Mobile Health Applications
Organizer-Chairman:
Shing-Hong Liu
Affilitation: Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 413310, Taiwan, ROC.
Email: shliu@cyut.edu.tw
Xin Zhu
Affiliation: Graduate School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan.
Email: zhuxin@u-aizu.ac.jp
Homepage: https://bitlab.u-aizu.ac.jp/
Google Scholar: https://scholar.google.co.jp/citations?user=UE0MlwwAAAAJ&hl=en
Aim:Recent advances in mobile health informatics, artificial intelligence, and sensing techniques have generated increasing interest from both industry and academia. Deep learning technology, which has made significant progress in various fields such as natural language recognition (e.g., ChatGTP), has further fueled this interest. As such, the session titled "Deep Learning and Machine Learning Technologies for Mobile Health Applications" will bring together researchers and experts to present and discuss the latest developments and technical solutions related to advances in deep learning and machine learning technologies for mobile devices applying in healthcare. This session will feature original, unpublished articles focusing on theoretical analysis, biomedical signal and image processing, novel system architecture construction and design, experimental studies, and wearable device development.
Topics:
- Biomedical Signal and Image Processing
- Mobile Device Development
- Deep Learning and Machine Learning Technologies
- Edge Computing Technology
- Healthcare Information Systems & Telemedicine
- Technologies for Active Ageing and Wellbeing
Organizer-Chairman: Assoc. Prof. Martin Vlkovsky, PhD
Affilitation: Faculty of Military Leadership, Vice-Dean for Research
Academic Address: Kounicova 65, 662 10, Brno, Czech Republic
E-mail: martin.vlkovsky@unob.cz
Aim:The aim of the INTEP Special Session is to present the application potential of new technologies in the preparation of key personnel using appropriate models, simulations, experiments and case studies. Special Session INTEP offers an interdisciplinary connection of selected new technologies with the personnel preparation primarily in technical sciences and humanities, incl. the specifics of military education. Emphasis will be placed on evaluating the effectiveness of the use of such technologies and their added value for the educational process.
Topics:
- Modeling and Simulating Tools in Education Process
- Virtual and Augmented Reality in Education Process
- Live Simulation Tools in Education Process
- Special Aspects of Education in Armed Forces
(other topics related to the connection of new technologies and education process)
2) Title: Empowerment of Museums in Risk Management for Cultural Heritage by Means of New Information and Communication Technologies (EnRiCHMeNT)
Organizer-Chairman:
Paula Menino Homem (a, b, c)
phomem@letras.up.pt
Maria Manuela Pinto (a, b, d)
mmpinto@letras.up.pt
Bárbara Andrez (a, b, d)
barbaraandrez@gmail.com
(a) Faculty of Arts and Humanities of University of Porto (FLUP). Via Panorâmica, s/n, 4150-564 Porto, Portugal
(b) Transdisciplinary Culture, Space and Memory Research Centre (CITCEM)
(c) Department of Heritage Studies
(d) Department of Communication and Information Sciences
Aim:EnRiCHMeNT aims to be a facilitating context for sharing and discussion regarding digital proposals for documentation, communication, accessibility, security and education, to better enable museums to manage risk for collections, in articulation with their enjoyment.
Areas of interest cover digitisation, metadata, digital preservation, replication, inclusion and experience, cybersecurity, integrated management software, formal and non-formal educational solutions, such as modelling, simulation, games and gamification.
It seeks to explore case studies and innovative solutions that address the complexity inherent to the topic.
Topics:
- Museum/management documentation systems
- Communication and early warning systems
- Accessibility and fruition
- Security
- Formal and non-formal education
3) Title: Deep Learning and Machine Learning Technologies for Mobile Health Applications
Organizer-Chairman:
Shing-Hong Liu
Affilitation: Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 413310, Taiwan, ROC.
Email: shliu@cyut.edu.tw
Xin Zhu
Affiliation: Graduate School of Computer Science and Engineering, The University of Aizu, Aizuwakamatsu, Fukushima 965-8580, Japan.
Email: zhuxin@u-aizu.ac.jp
Homepage: https://bitlab.u-aizu.ac.jp/
Google Scholar: https://scholar.google.co.jp/citations?user=UE0MlwwAAAAJ&hl=en
Aim:Recent advances in mobile health informatics, artificial intelligence, and sensing techniques have generated increasing interest from both industry and academia. Deep learning technology, which has made significant progress in various fields such as natural language recognition (e.g., ChatGTP), has further fueled this interest. As such, the session titled "Deep Learning and Machine Learning Technologies for Mobile Health Applications" will bring together researchers and experts to present and discuss the latest developments and technical solutions related to advances in deep learning and machine learning technologies for mobile devices applying in healthcare. This session will feature original, unpublished articles focusing on theoretical analysis, biomedical signal and image processing, novel system architecture construction and design, experimental studies, and wearable device development.
Topics:
- Biomedical Signal and Image Processing
- Mobile Device Development
- Deep Learning and Machine Learning Technologies
- Edge Computing Technology
- Healthcare Information Systems & Telemedicine
- Technologies for Active Ageing and Wellbeing