Modeling of cyber threat analysis and vulnerability in IoT-based healthcare systems during COVID
The fast advancement of IoT technology has transformed human existence by introducing
the facilitation of home automation, traffic systems, e-healthcare, oil and gas stations, and …
the facilitation of home automation, traffic systems, e-healthcare, oil and gas stations, and …
Conceptualizing Walking and Walkability in the Smart City through a Model Composite w2 Smart City Utility Index
This paper explores walking and walkability in the smart city and makes a case for their
centrality in the debate on the resilience and sustainability of smart cities, as outlined in the …
centrality in the debate on the resilience and sustainability of smart cities, as outlined in the …
A deep learning solution for integrated traffic control through automatic license plate recognition
Abstract Nowadays, Smart Cities applications are becoming steadily popular, thanks to their
main objective of improving people daily habits. The services provided by the …
main objective of improving people daily habits. The services provided by the …
Artificial Intelligence Methods for Smart Cities
In recent years, the concept of smart cities has garnered increasing attention as urban areas
grapple with the challenges of population growth, resource management, and infrastructure …
grapple with the challenges of population growth, resource management, and infrastructure …
A novel FDLSR-based technique for view-independent vehicle make and model recognition
Vehicle make and model recognition (VMMR) is an important aspect of intelligent
transportation systems (ITS). In VMMR systems, surveillance cameras capture vehicle …
transportation systems (ITS). In VMMR systems, surveillance cameras capture vehicle …
[HTML][HTML] CARgram: CNN-based Accident Recognition from Road Sounds through Intensity-Projected Spectrogram Analysis
Road surveillance systems play an important role in traffic monitoring and detecting
hazardous events. In recent years, several artificial intelligence-based approaches have …
hazardous events. In recent years, several artificial intelligence-based approaches have …
A comparison of audio-based deep learning methods for detecting anomalous road events
Road surveillance systems have an important role in monitoring roads and safeguarding
their users. Many of these systems are based on video streams acquired from urban video …
their users. Many of these systems are based on video streams acquired from urban video …
Can Existing 3D Monocular Object Detection Methods Work in Roadside Contexts? A Reproducibility Study
Detecting 3D objects in images from urban monocular cameras is essential to enable
intelligent monitoring applications for local municipalities decision-support systems …
intelligent monitoring applications for local municipalities decision-support systems …
Investigating the Effectiveness of 3D Monocular Object Detection Methods for Roadside Scenarios
Urban environments are demanding effective and efficient detection in 3D of objects using
monocular cameras, eg, for intelligent monitoring or decision support. The limited availability …
monocular cameras, eg, for intelligent monitoring or decision support. The limited availability …
Check for updates Enhancing LiDAR Performance: Robust De-Skewing Exclusively Relying on Range Measurements
OAAK Salem, EGD iD, L Brizi… - … 2023–Advances in …, 2023 - books.google.com
Most commercially available Light Detection and Ranging (LiDAR) s measure the distances
along a 2D section of the environment by sequentially sampling the free range along …
along a 2D section of the environment by sequentially sampling the free range along …