Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

[HTML][HTML] Impacts of intelligent transportation systems on energy conservation and emission reduction of transport systems: A comprehensive review

Z Lv, W Shang - Green Technologies and Sustainability, 2023 - Elsevier
With the development of smart cities, new requirements have been put forward for the
control of carbon emissions (CEs) in the transportation system. Intelligent transportation …

[HTML][HTML] Plant leaf disease detection using computer vision and machine learning algorithms

SS Harakannanavar, JM Rudagi… - Global Transitions …, 2022 - Elsevier
Agriculture provides food to all the human beings even in case of rapid increase in the
population. It is recommended to predict the plant diseases at their early stage in the field of …

Securing critical infrastructures: deep-learning-based threat detection in IIoT

K Yu, L Tan, S Mumtaz, S Al-Rubaye… - IEEE …, 2021 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) is a physical information system developed based on
traditional industrial control networks. As one of the most critical infrastructure systems, IIoT …

Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks

L Liu, M Zhao, M Yu, MA Jan, D Lan… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Vehicular Edge Computing (VEC) has gained increasing interest due to its potential to
provide low latency and reduce the load in backhaul networks. In order to meet drastically …

Deep-learning-empowered breast cancer auxiliary diagnosis for 5GB remote E-health

K Yu, L Tan, L Lin, X Cheng, Z Yi… - IEEE Wireless …, 2021 - ieeexplore.ieee.org
Breast cancer, the most common cancer in women, is receiving increasing attention. The
lack of high-quality medical resources, especially highly skilled doctors, in remote areas …

Secure artificial intelligence of things for implicit group recommendations

K Yu, Z Guo, Y Shen, W Wang… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
The emergence of Artificial Intelligence of Things (AIoT) has provided novel insights for
many social computing applications, such as group recommender systems. As the distances …

Speech emotion recognition enhanced traffic efficiency solution for autonomous vehicles in a 5G-enabled space–air–ground integrated intelligent transportation …

L Tan, K Yu, L Lin, X Cheng… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Speech emotion recognition (SER) is becoming the main human–computer interaction logic
for autonomous vehicles in the next generation of intelligent transportation systems (ITSs). It …

Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach

L Tan, K Yu, AK Bashir, X Cheng, F Ming… - Neural Computing and …, 2023 - Springer
Patients with deaths from COVID-19 often have co-morbid cardiovascular disease. Real-
time cardiovascular disease monitoring based on wearable medical devices may effectively …

An efficient ciphertext-policy weighted attribute-based encryption for the internet of health things

H Li, K Yu, B Liu, C Feng, Z Qin… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
The Internet of Health Things (IoHT) is a medical concept that describes uniquely identifiable
devices connected to the Internet that can communicate with each other. As one of the most …