Sfoglia per Soggetto "IEEE Computer Society"

360-Attack: Distortion-Aware Perturbations from Perspective-Views

Zhang Y., Liu Y., Liu J., Miao J., Argyriou A., Wang L., Xu Z. (2022)

The application of deep neural networks (DNNs) on 360-degree images has achieved remarkable progress in the recent years. However, DNNs have been demonstrated to be vulnerable to well-crafted adversarial examples, which ...

Accurate Estimation of Dynamic Timing Slacks using Event-Driven Simulation

Garyfallou D., Tsiokanos I., Evmorfopoulos N., Stamoulis G., Karakonstantis G. (2020)

The pessimistic nature of conventional static timing analysis has turned the attention of many studies to the exploitation of the dynamic data-dependent excitation of paths. Such studies may have revealed extensive dynamic ...

Anomaly detection in IoT devices via monitoring of supply current

Myridakis D., Spathoulas G., Kakarountas A., Schoinianakisy D., Luekeny J. (2018)

This work presents a methodology that correlates the supply current of a smart device to its functional characteristics in order to detect a manufacturing or a security anomaly in IoT devices. It is proven that awareness ...

Assesement And Integrated Steam In Engineering Education

Psycharis S., Kalovrektis K. (2022)

To justify the implementation of the integrated/holistic STEAM approach, theoretical considerations propose that assessment must be designed in order to evaluate students' engagement not only in core ideas but also in their ...

Assistive system for elders suffering of dementia

Boumpa E., Charalampou I., Gkogkidis A., Ntaliani A., Kokkinou E., Kakarountas A. (2018)

This work proposes an innovative information home support system to be established at the houses of people suffering from dementia. The main innovations of the system are its transparent character that overcomes the need ...

Attention-Enhanced Sensorimotor Object Recognition

Thermos S., Papadopulos G.T., Daras P., Potamianos G. (2018)

Sensorimotor learning, namely the process of understanding the physical world by combining visual and motor information, has been recently investigated, achieving promising results for the task of 2D/3D object recognition. ...

Business Model Canvas for Big and Open Linked Data in Smart and Circular Cities: Findings from Europe

Anthopoulos L.G., Janssen M. (2022)

This article introduces a business model for big and open linked data in smart and circular cities, laying the foundation of a new approach that generates societal, business, and public value. © 1970-2012 IEEE.

Calculation of the hubble universe expansion constant by analyzing observational data: An exploratory teaching proposal based on STEM epistemology

Xenakis A., Xenakis C., Psycharis S., Kalovrektis K. (2020)

Approaches to STEM epistemology are related to the so-called 'Integrated STEM Education Curriculum integration of STEM contents based in constructivism theories of learning as a context to implement the STEM epistemology. ...

Confronting Sparseness and High Dimensionality in Short Text Clustering via Feature Vector Projections

Akritidis L., Alamaniotis M., Fevgas A., Bozanis P. (2020)

Short text clustering is a popular problem that focuses on the unsupervised grouping of similar short text documents, or entitled entities. Since the short texts are currently being utilized in a vast number of applications, ...

Convolutional Variational Autoencoders for Image Clustering

Nellas I.A., Tasoulis S.K., Plagianakos V.P. (2021)

The problem of data clustering is one of the most fundamental and well studied problems of unsupervised learning. Image clustering, refers to one of the most challenging specifications of clustering, concerning image data. ...

Coordinated broadcast-based request-reply and group management for tightly-coupled wireless systems

Koutsoubelias M., Lalis S. (2016)

As the domain of cyber-physical systems continues to grow, an increasing number of tightly-coupled distributed applications will be implemented on top of wireless networking technologies. Some of these applications, including ...

Coordination strategies for agent migrations in wireless sensor networks

Tziritas N., Loukopoulos T., Lalis S., Khan S.U., Xu C.-Z. (2016)

Agent-based middleware platforms for wireless sensor networks (WSNs) have received a lot of attention during the last years, due to their great flexibility in re-programming, monitoring, handling, and optimizing the ...

Development of professional competences in higher education through active learning [Desenvolvimento de Competências Profissionais no Ensino Superior através de Aprendizagem Ativa e Jogos Sérios: O Caso Português]

De Carvalho C.V., Durão R., Llamas-Nistal M., Rodriguez M.C., Heidmann O., Tsalapatas H. (2019)

Higher education students increasingly need to develop, during their academic journey, a set of personal, social and professional skills to allow their quick integration into the professional market. This requires a close ...