Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology
The sixth generation (6G) represents the next evolution in wireless communication
technology and is currently under research and development. It is expected to deliver faster …
technology and is currently under research and development. It is expected to deliver faster …
Big data in transportation: a systematic literature analysis and topic classification
D Tzika-Kostopoulou, E Nathanail… - Knowledge and Information …, 2024 - Springer
This paper identifies trends in the application of big data in the transport sector and
categorizes research work across scientific subfields. The systematic analysis considered …
categorizes research work across scientific subfields. The systematic analysis considered …
[HTML][HTML] Integration of data science with the intelligent IoT (IIoT): current challenges and future perspectives
Abstract The Intelligent Internet of Things (IIoT) involves real-world things that communicate
or interact with each other through networking technologies by collecting data from these …
or interact with each other through networking technologies by collecting data from these …
Latency-Constrained Multi-User Efficient Task Scheduling in Large-Scale Internet of Vehicles
Driven by the tremendous demand for real-time data processing in the Internet of Vehicles
(IoV), edge computing is envisioned as a promising solution to alleviate the resource …
(IoV), edge computing is envisioned as a promising solution to alleviate the resource …
Changes in Socioeconomic Inequalities in Unintended Pregnancies Among Currently Married Women in India
Background Despite the consistent prevalence of unintended pregnancies in India and its
adverse impact on maternal and neonatal mortality, the literature discussing socioeconomic …
adverse impact on maternal and neonatal mortality, the literature discussing socioeconomic …
Deep reinforcement learning for energy-efficient edge caching in mobile edge networks
M Deng, Z Huan, J Kai, Z Hantong, C Yue… - China …, 2024 - ieeexplore.ieee.org
Edge caching has emerged as a promising application paradigm in 5G networks, and by
building edge networks to cache content, it can alleviate the traffic load brought about by the …
building edge networks to cache content, it can alleviate the traffic load brought about by the …
Controlling Data Streams of IoT Devices in Smart Homes from a User Perspective
CI Wickramasinghe - 2024 - ediss.uni-goettingen.de
Increasingly, humans are surrounded by intelligent devices, such as smart devices, in the
Internet of Things (IoT) context. These smart devices are used in various environments, such …
Internet of Things (IoT) context. These smart devices are used in various environments, such …
Enhancing Efficiency and Privacy of Intelligent Public Transportation Systems Through Federated Learning and EdgeAI
F Rocco di Torrepadula - International Symposium on Web and Wireless …, 2024 - Springer
In the realm of intelligent public transportation systems, deep learning (DL) techniques are
widely used to extract valuable insights from mobility-related data, on top of which it is …
widely used to extract valuable insights from mobility-related data, on top of which it is …
Network Resources Optimization through Regional Computing forVehicular Big Data
The transportation system is shifting toward an Intelligent Transportation System (ITS).
Research shows that a singleAutonomous Vehicle (AV) can generate up to 1 Terabyte (TB) …
Research shows that a singleAutonomous Vehicle (AV) can generate up to 1 Terabyte (TB) …