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SCOPUS (2021-2025)
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Các bài báo tiêu biểu
Quo vadis artificial intelligence?
Tập 2 Số 1
AbstractThe study of artificial intelligence (AI) has been a continuous endeavor
of scientists and engineers for over 65 years. The simple contention is that
human-created machines can do more than just labor-intensive work; they can
develop human-like intelligence. Being aware or not, AI has penetrated into our
daily lives, playing novel roles in industry, healthcare, transportation,
education, a...
When medical images meet generative adversarial network: recent development and research opportunities
- 2021
AbstractDeep learning techniques have promoted the rise of artificial
intelligence (AI) and performed well in computer vision. Medical image analysis
is an important application of deep learning, which is expected to greatly
reduce the workload of doctors, contributing to more sustainable health systems.
However, most current AI methods for medical image analysis are based on
supervised learning, ...
MetaEdu: a new framework for future education
AbstractThe potential of the metaverse in the field of education is an area of
increasing interest, with many researchers exploring the space to increase the
ease and efficacy of student education while reducing time and labor
requirements to deliver effective teaching. However, there has been little work
into the systematic and technological aspects of delivering education through
the metaverse. ...
The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines
AbstractOne of the biggest challenges in Artificial Intelligence (AI)
development and application is the lack of consideration for human enhancement
as a cornerstone for its operationalization. Nor is there a universally accepted
approach that guides best practices in this field. However, the behavioral
science field offers suggestions on how to develop a sustainable and enriching
relationship bet...
Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research
AbstractTeaching and learning as well as administrative processes are still
experiencing intensive changes with the rise of artificial intelligence (AI)
technologies and its diverse application opportunities in the context of higher
education. Therewith, the scientific interest in the topic in general, but also
specific focal points rose as well. However, there is no structured overview on
AI in t...
Should we regulate Artificial Intelligence or some uses of software?
Tập 2 Số 1 - 2022
AbstractArtificial Intelligence regulatory developments have been
ever-increasing in both academia as well as within policy and governmental
settings. Whilst extensive literature has been published on the topic of how
such regulation should be developed, the question as to whether such regulation
should be AI-specific or focused on software in general remains unexplored. In
this commentary paper t...
Roadmap and challenges for reinforcement learning control in railway virtual coupling
Tập 2 Số 1
AbstractThe ever increasing demand in passenger and freight transportation is
leading to the saturation of railway network capacity. Virtual Coupling (VC) has
been proposed within the European Horizon 2020 Shift2Rail Joint Undertaking as a
potential solution to address this problem. It allows to dynamically connect two
or more trains in a single convoy, thus reducing headway between them. In this
...
Diabetes and conversational agents: the AIDA project case study
Tập 1 Số 1 - 2021
AbstractOne of the key aspects in the process of caring for people with diabetes
is Therapeutic Education (TE). TE is a teaching process for training patients so
that they can self-manage their care plan. Alongside traditional methods of
providing educational content, there are now alternative forms of delivery
thanks to the implementation of advanced Information Technologies systems such
as conve...
A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images
- 2022
AbstractSea monitoring is essential for a better understanding of its dynamics
and to measure the impact of human activities. In this context, remote sensing
plays an important role by providing satellite imagery every day, even in
critical climate conditions, for the detection of sea events with a potential
risk to the environment. The present work proposes a comparative study of Deep
Learning ar...