Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends
Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have
emerged from IoT technology, which refers to connecting many vehicles with various …
emerged from IoT technology, which refers to connecting many vehicles with various …
[Retracted] Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends
L Elmoiz Alatabani, E Sayed Ali… - Journal of Advanced …, 2022 - Wiley Online Library
Recently, artificial intelligence (AI) technology has great attention in transportation systems,
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …
A systematic review on energy efficiency in the internet of underwater things (IoUT): Recent approaches and research gaps
Due to the advancement of wireless communications, Internet of Things (IoT) becomes a
promising technology in today's digital world. For the enhancement of underwater …
promising technology in today's digital world. For the enhancement of underwater …
[Retracted] Vehicle Detection for Vision‐Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm
OO Khalifa, MH Wajdi, RA Saeed… - Journal of Advanced …, 2022 - Wiley Online Library
Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road
safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection …
safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection …
Privacy enabled driver behavior analysis in heterogeneous IoV using federated learning
Abstract Internet of Vehicles (IoV) is a paradigm of ITS that incorporates automobiles,
transportation, information sharing, and traffic infrastructure management with the aim to …
transportation, information sharing, and traffic infrastructure management with the aim to …
[HTML][HTML] An IoT-platform-based deep learning system for human behavior recognition in smart city monitoring using the Berkeley MHAD datasets
Internet of Things (IoT) technology has been rapidly developing and has been well utilized
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
Green machine learning for green cloud energy efficiency
The efficiency of energy in cloud computing (CC) is one of the critical and vital parameters
for large server-based networks due to CC consuming a great amount of energy and the …
for large server-based networks due to CC consuming a great amount of energy and the …
Green machine learning approach for QoS improvement in cellular communications
Green cellular communications are becoming an important approach due to large-scale and
complex radio networks. Due to the dynamic cellular network behaviors related to …
complex radio networks. Due to the dynamic cellular network behaviors related to …
Blockchain for IoT-based cyber-physical systems (CPS): applications and challenges
Abstract Cyber-Physical System (CPS) enables to combine the physical objects with
computing and storage capabilities to have data exchange in an interconnected network of …
computing and storage capabilities to have data exchange in an interconnected network of …
[HTML][HTML] Energy-efficient resource allocation based on deep Q-network in V2V communications
D Han, J So - Sensors, 2023 - mdpi.com
Recently, with the development of autonomous driving technology, vehicle-to-everything
(V2X) communication technology that provides a wireless connection between vehicles …
(V2X) communication technology that provides a wireless connection between vehicles …