A review on deep learning for future smart cities

S Bhattacharya, SRK Somayaji… - Internet Technology …, 2022 - Wiley Online Library
The advancements in Information and Communication Technologies (ICT) made the
concept of Smart Cities into reality. In a smart city several Internet of Things (IoT) sensors are …

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 …

DiReDi: Distillation and Reverse Distillation for AIoT Applications

C Sun, Q Tong, W Yang… - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
Artificial Intelligence & Internet of Things (AIoT) have been widely utilized in various
application scenarios. Significant efficiency can typically be achieved by deploying different …

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 …

Improving big data clustering for jamming detection in smart mobility

H Bangui, M Ge, B Buhnova - ICT Systems Security and Privacy Protection …, 2020 - Springer
Smart mobility, with its urban transportation services ranging from real-time traffic control to
cooperative vehicle infrastructure systems, is becoming increasingly critical in smart cities …

Prediction of Intelligent Vehicle-Pedestrian Conflict in a Highly Uncertain Environment

HM Alghodhaifi - 2023 - deepblue.lib.umich.edu
Ensuring that intelligent vehicles do not cause fatal collisions remains a persistent challenge
due to pedestrians' unpredictable movements and behavior. The potential for risky situations …

A multi-start simulated annealing strategy for data lake organization problem

DF Costa - 2024 - repositorio.ufal.br
Data Lake is the solution for Big Data that has received the most attention recently. Its main
feature is handling vast volumes of heterogeneous data in its raw format. However, this …

[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 …

A conversation with Gürkan Solmaz: situation classification in the internet of things (IoT)

B Anjum - Ubiquity, 2020 - dl.acm.org
In this interview, Ubiquity's senior editor Dr. Bushra Anjum chats with Dr. Gürkan Solmaz, a
senior researcher at NEC Laboratories Europe, Germany, about his work focused on …

[PDF][PDF] Multi-feature and Modular Pedestrian Intention Prediction using a Monocular Camera.

M Waleed, A El Mougy - ICAART (2), 2021 - pdfs.semanticscholar.org
Accurate prediction of the intention of pedestrians to cross the path of vehicles is highly
important to ensure their safety. The accuracy of these intention prediction systems is …