Multipath-assisted radio sensing and occupancy detection for smart in-house parking in its

J Ninnemann, P Schwarzbach, O Michler - arXiv preprint arXiv …, 2022 - arxiv.org
Joint, radio-based communication, localization and sensing is a rapidly emerging research
field with various application potentials. Greatly benefiting from these capabilities, smart city …

[PDF][PDF] Satellite image enhancement using wavelet-domain based on singular value decomposition

M Aamir, Z Rahman, YF Pu, WA Abro… - International Journal of …, 2019 - academia.edu
Improving the quality of satellite images has been considered an essential field of research
in remote sensing and computer vision. There are currently numerous techniques and …

[HTML][HTML] Fuel Use Reduction and Economic Savings from Optimization of Road Transportation of Coniferous Roundwood

Z Stanula, M Wieruszewski, K Mydlarz, K Adamowicz - Energies, 2023 - mdpi.com
One of the 10 priorities of the Green New Deal is sustainable transportation. It should be
considered in the perspective of long-term ecological and economic sustainability …

[HTML][HTML] Vision-Based Pedestrian's Crossing Risky Behavior Extraction and Analysis for Intelligent Mobility Safety System

B Noh, H Park, S Lee, SH Nam - Sensors, 2022 - mdpi.com
Crosswalks present a major threat to pedestrians, but we lack dense behavioral data to
investigate the risks they face. One of the breakthroughs is to analyze potential risky …

[PDF][PDF] Porting Computer Vision Models to the Edge for Smart City Applications: Enabling Autonomous Vision-Based Power Line Inspection at the Smart Grid Edge for …

I Gudmundsson, G Falco - HICSS, 2022 - researchgate.net
Smart grid infrastructure must be monitored and inspected-especially when subject to harsh
operating conditions in extreme, remote environments such as the highlands of Iceland …

SafetyCube: Framework for potential pedestrian risk analysis using multi-dimensional OLAP

B Noh, H Yeo - Accident Analysis & Prevention, 2021 - Elsevier
In the past decade, the number of road traffic accidents and fatalities has remained about the
same level. One of strategies to protect vulnerable road users (VRUs) is to analyze the …

Vehicle Smoke Synthesis and Attention-Based Deep Approach for Vehicle Smoke Detection

S Kundu, U Maulik… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Third world countries are suffering from extreme vehicular air pollution due to dominating
number of fossil fuel-driven vehicles on the road. Therefore, in these countries, automatic …

Computer Vision in Smart City Application: A Mapping Review

AA Syahidi, K Kiyokawa, F Okura - 2023 6th International …, 2023 - ieeexplore.ieee.org
Research interest in the application of Computer Vision (CV) in the context of smart cities
has grown significantly in recent years. However, finding relevant studies in databases can …

An Enhanced Analysis of Traffic Intelligence in Smart Cities Using Sustainable Deep Radial Function

AG Ismaeel, SJ Mary, C Anitha, J Logeshwaran… - arXiv preprint arXiv …, 2024 - arxiv.org
Smart cities have revolutionized urban living by incorporating sophisticated technologies to
optimize various aspects of urban infrastructure, such as transportation systems. Effective …

The Contribution of Deep Learning for Future Smart Cities

H Nazari, H Alkhader, AFMS Akhter, S Hizal - Cybersecurity for Smart …, 2023 - Springer
With the advancement of science and technology, the idea of smart city is not a dream
anymore; rather, the world is already enjoying its benefits. Computer and information …