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Các bài báo tiêu biểu

Quo vadis artificial intelligence?
Tập 2 Số 1
Yuchen Jiang, Xiang Li, Hao Luo, Shen Yin, Okyay Kaynak
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, healthc...... hiện toàn bộ
When medical images meet generative adversarial network: recent development and research opportunities
- 2021
Xiang Li, Yuchen Jiang, Juan J. Rodríguez-Andina, Hao Luo, Shen Yin, Okyay Kaynak
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 a...... hiện toàn bộ
MetaEdu: a new framework for future education
LuoBin Cui, ChengZhang Zhu, Ryan Hare, Ying Tang
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 ...... hiện toàn bộ
The golden age of Artificial Intelligence
Tập 1 Số 1 - 2021
Okyay Kaynak
Classification of drugs based on mechanism of action using machine learning techniques
Tập 1 - Trang 1-14 - 2021
H. L. Gururaj, Francesco Flammini, H. A. Chaya Kumari, G. R. Puneeth, B. R. Sunil Kumar
The mechanism of action is an important aspect of drug development. It can help scientists in the process of drug discovery. This paper provides a machine learning model to predict the mechanism of action of a drug. The machine learning models used in this paper are Binary Relevance K Nearest Neighbors (Type A and Type B), Multi-label K-Nearest Neighbors and a custom neural network. These machine ...... hiện toàn bộ
Data mining of scientific research on artificial intelligence in teaching and administration in higher education institutions: a bibliometrics analysis and recommendation for future research
André Ullrich, Gergana Vladova, Felix Eigelshoven, André Renz
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 ...... hiện toàn bộ
Should we regulate Artificial Intelligence or some uses of software?
Tập 2 Số 1 - 2022
Joshua Ellul
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 unexp...... hiện toàn bộ
The importance of humanizing AI: using a behavioral lens to bridge the gaps between humans and machines
Ali Fenwick, Gábor Molnár
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 sustainab...... hiện toàn bộ
Roadmap and challenges for reinforcement learning control in railway virtual coupling
Tập 2 Số 1
G. Basile, Elena Napoletano, Alberto Petrillo, Stefania Santini
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 reduci...... hiện toàn bộ
A comparative study of Deep Learning architectures for Classification of Natural and Human-made Sea Events in SAR images
- 2022
William Mauricio Giral Ramírez, Pedro Achanccaray, Marco Aurélio Cavalcanti Pacheco
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 comp...... hiện toàn bộ