Transferability of machine learning algorithm for IoT device profiling and identification

PK Danso, S Dadkhah, ECP Neto… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
The lack of appropriate cyber security measures deployed on Internet of Things (IoT) makes
these devices prone to security issues. Consequently, the timely identification and detection …

Urban digital twins–a fiware-based model

M Bauer, F Cirillo, J Fürst, G Solmaz… - at …, 2021 - degruyter.com
This article describes the use of digital twins for smart cities, ie, the Urban Digital Twin
(UDTw) concept. It shows how UDTws can be realized using the open source components …

Towards semantic management of on-device applications in industrial IoT

H Ren, D Anicic, TA Runkler - ACM Transactions on Internet Technology, 2022 - dl.acm.org
The Internet of Things (IoT) is revolutionizing the industry. Powered by pervasive embedded
devices, the Industrial IoT (IIoT) provides a unique solution for retrieving and analyzing data …

[HTML][HTML] Probabilistic knowledge infusion through symbolic features for context-aware activity recognition

L Arrotta, G Civitarese, C Bettini - Pervasive and Mobile Computing, 2023 - Elsevier
In the general machine learning domain, solutions based on the integration of deep learning
models with knowledge-based approaches are emerging. Indeed, such hybrid systems have …

Realizing the digital twin transition for smart cities

J Fürst, B Cheng, B Hebgen - Open Journal of Internet Of Things (OJIOT …, 2021 - ronpub.com
The digital twin transition for cities is expected to improve, among others, living quality,
carbon footprint and generate new business opportunities across different organizations …

Knowledge infusion for context-aware sensor-based human activity recognition

L Arrotta, G Civitarese, C Bettini - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Neuro-symbolic AI methods aim at integrating the capabilities of data-driven deep learning
solutions with the ones of more traditional symbolic approaches. These techniques have …

IoT Virtualization with ML-based Information Extraction

M Bauer - 2021 IEEE 7th World Forum on Internet of Things (WF …, 2021 - ieeexplore.ieee.org
For IoT to reach its full potential, the sharing and reuse of information in different applications
and across verticals is of paramount importance. However, there are a plethora of IoT …

[PDF][PDF] Automation of Internet of things Using Deep Learning on the Basis of Extraction of Data

M Anam, D Harikrishnan, A Prithiviraj, R Regin… - Webology, 2022 - webology.org
Sharing and reusing data across apps and industries is critical for the Internet of Things to
realize its full potential. However, various IoT systems exist, each with its networks …

ОБРАБОТКА БОЛЬШОГО ПОТОКА ДАННЫХ В ТУМАННЫХ СЕТЯХ МЕТОДАМИ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА PROCESSING OF A LARGE DATA STREAM …

ОЮ Плужникова - ARTIFICIAL INTELLIGENCE IN MANAGEMENT …, 2023 - elibrary.ru
В связи с необходимостью обработки огромного потока видеоданных почти в реальном
времени, возрастает требование к скорости реакции системы на то или иное событие …

[HTML][HTML] Due to COVID-19 the World's Activities Stopped, but not Research: Workshop on Very Large Internet of Things (VLIoT 2020)

S Groppe, MC Su - Open Journal of Internet Of Things (OJIOT), 2020 - ronpub.com
The Very Large Internet of Things (VLIoT) workshop aims at discussing the solutions of
problems arising especially for large-scale configurations. After continuously monitoring the …