[HTML][HTML] A comparative study of loss functions for road segmentation in remotely sensed road datasets
Road extraction from remote sensing imagery is a fundamental task in the field of image
semantic segmentation. For this goal, numerous supervised deep learning techniques have …
semantic segmentation. For this goal, numerous supervised deep learning techniques have …
[HTML][HTML] Elevating healthcare: Rapid literature review on drone applications for streamlining disaster management and prehospital care in Saudi Arabia
Saudi Arabia's health sector faces pressing challenges in disaster and prehospital care
delivery, such as prolonged response times, limited access to remote areas, and strained …
delivery, such as prolonged response times, limited access to remote areas, and strained …
Graph neural networks for intelligent transportation systems: A survey
Graph neural networks (GNNs) have been extensively used in a wide variety of domains in
recent years. Owing to their power in analyzing graph-structured data, they have become …
recent years. Owing to their power in analyzing graph-structured data, they have become …
Fog robotics-based intelligence transportation system using line-of-sight intelligent transportation
E Poornima, BA Muthu, R Agrawal, SP Kumar… - Multimedia Tools and …, 2023 - Springer
Abstract Intelligent Transportation System (ITS) idea was developed to improve road safety,
traffic management efficiency, and environmental preservation. The fog-robotics Based …
traffic management efficiency, and environmental preservation. The fog-robotics Based …
ITS based on deep graph convolutional fraud detection network blockchain-enabled fog-cloud
A Lakhan, MA Mohammed, DA Ibrahim… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The advancement in transport applications increases at the everyday progress in
technologies. Therefore, intelligent transport systems (ITS) gain a lot of progress at the …
technologies. Therefore, intelligent transport systems (ITS) gain a lot of progress at the …
A review and analysis of secure and lightweight ECC‐based RFID authentication protocol for Internet of Vehicles
Radio‐frequency identification (RFID) technology has proliferated over the last few years
and being deployed as identification technology in numerous domains like intelligent …
and being deployed as identification technology in numerous domains like intelligent …
[HTML][HTML] Vehicle detection using improved region convolution neural network for accident prevention in smart roads
This paper explores the vehicle detection problem and introduces an improved regional
convolution neural network. The vehicle data (set of images) is first collected, from which the …
convolution neural network. The vehicle data (set of images) is first collected, from which the …
[HTML][HTML] Traffic congestion classification using GAN-Based synthetic data augmentation and a novel 5-layer convolutional neural network model
Private automobiles are still a widely prevalent mode of transportation. Subsequently, traffic
congestion on the roads has been more frequent and severe with the continuous rise in the …
congestion on the roads has been more frequent and severe with the continuous rise in the …
Lightweight intrusion detection for edge computing networks using deep forest and bio-inspired algorithms
Today, incorporating advanced machine learning techniques into intrusion detection
systems (IDSs) plays a crucial role in securing mobile edge computing systems. However …
systems (IDSs) plays a crucial role in securing mobile edge computing systems. However …
[HTML][HTML] Application of region-based video surveillance in smart cities using deep learning
Smart video surveillance helps to build more robust smart city environment. The varied
angle cameras act as smart sensors and collect visual data from smart city environment and …
angle cameras act as smart sensors and collect visual data from smart city environment and …