Deep learning in security of internet of things
Y Li, Y Zuo, H Song, Z Lv - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Internet-of-Things (IoT) technology is increasingly prominent in the current stage of social
development. All walks of life have begun to implement the IoT integration technology, so as …
development. All walks of life have begun to implement the IoT integration technology, so as …
[PDF][PDF] Artificial intelligence in transportation systems a critical review
J Bharadiya - American Journal of Computing and Engineering, 2023 - ajpojournals.org
Purpose: The purpose of the research is to investigate the role of machine learning (ML) and
artificial intelligence (AI) in the growth of smart cities. It aims to understand how these …
artificial intelligence (AI) in the growth of smart cities. It aims to understand how these …
[HTML][HTML] Hybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting
In this study, we combine graph optimization and prediction in a single pipeline to
investigate an innovative convolutional graph-based neural network for urban traffic flow …
investigate an innovative convolutional graph-based neural network for urban traffic flow …
Survey on deep neural networks in speech and vision systems
This survey presents a review of state-of-the-art deep neural network architectures,
algorithms, and systems in speech and vision applications. Recent advances in deep …
algorithms, and systems in speech and vision applications. Recent advances in deep …
Joint communication, computation, caching, and control in big data multi-access edge computing
The concept of Multi-access Edge Computing (MEC) has been recently introduced to
supplement cloud computing by deploying MEC servers to the network edge so as to reduce …
supplement cloud computing by deploying MEC servers to the network edge so as to reduce …
[HTML][HTML] Automatic number plate Recognition: A detailed survey of relevant algorithms
Technologies and services towards smart-vehicles and Intelligent-Transportation-Systems
(ITS), continues to revolutionize many aspects of human life. This paper presents a detailed …
(ITS), continues to revolutionize many aspects of human life. This paper presents a detailed …
[HTML][HTML] Traffic flow detection using camera images and machine learning methods in ITS for noise map and action plan optimization
L Fredianelli, S Carpita, M Bernardini, LG Del Pizzo… - Sensors, 2022 - mdpi.com
Noise maps and action plans represent the main tools in the fight against citizens' exposure
to noise, especially that produced by road traffic. The present and the future in smart traffic …
to noise, especially that produced by road traffic. The present and the future in smart traffic …
Edge intelligence: Architectures, challenges, and applications
Edge intelligence refers to a set of connected systems and devices for data collection,
caching, processing, and analysis in locations close to where data is captured based on …
caching, processing, and analysis in locations close to where data is captured based on …
Fusion of federated learning and industrial Internet of Things: A survey
Industrial Internet of Things (IIoT) lays a new paradigm for the concept of Industry 4.0 and
paves an insight for new industrial era. Nowadays smart machines and smart factories use …
paves an insight for new industrial era. Nowadays smart machines and smart factories use …
Wireless edge computing with latency and reliability guarantees
Edge computing is an emerging concept based on distributed computing, storage, and
control services closer to end network nodes. Edge computing lies at the heart of the fifth …
control services closer to end network nodes. Edge computing lies at the heart of the fifth …