Machine learning-assisted self-powered intelligent sensing systems based on triboelectricity
Z Tian, J Li, L Liu, H Wu, X Hu, M Xie, Y Zhu, X Chen… - Nano Energy, 2023 - Elsevier
The advancement of 5 G and the Internet of Things (IoT) has ushered in an era of super-
interconnected intelligence, which promises high-quality social development. Triboelectric …
interconnected intelligence, which promises high-quality social development. Triboelectric …
Multi-level data-driven battery management: From internal sensing to big data utilization
A battery management system (BMS) is essential for the safety and longevity of lithium-ion
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …
battery (LIB) utilization. With the rapid development of new sensing techniques, artificial …
Review on security of federated learning and its application in healthcare
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …
progress has been made on many complex medical problems. However, there is a lack of …
ML-based radio resource management in 5G and beyond networks: A survey
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
[HTML][HTML] Smart traffic shaping based on distributed reinforcement learning for multimedia streaming over 5G-VANET communication technology
Vehicles serve as mobile nodes in a high-mobility MANET technique known as the vehicular
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
ad hoc network (VANET), which is used in urban and rural areas as well as on highways …
[HTML][HTML] Edge intelligence secure frameworks: Current state and future challenges
E Villar-Rodriguez, MA Pérez, AI Torre-Bastida… - Computers & …, 2023 - Elsevier
At the confluence of two great paradigms such as Edge Computing and Artificial Intelligence,
Edge Intelligence arises. This new concept is about the smart exploitation of Edge …
Edge Intelligence arises. This new concept is about the smart exploitation of Edge …
[HTML][HTML] From distributed machine to distributed deep learning: a comprehensive survey
M Dehghani, Z Yazdanparast - Journal of Big Data, 2023 - Springer
Artificial intelligence has made remarkable progress in handling complex tasks, thanks to
advances in hardware acceleration and machine learning algorithms. However, to acquire …
advances in hardware acceleration and machine learning algorithms. However, to acquire …
Data-Driven Resource Allocation for Deep Learning in IoT Networks
We consider an Internet of Things (IoT) network, where a large amount of sensor data is
transmitted from wireless IoT devices to a central server for the classification of system …
transmitted from wireless IoT devices to a central server for the classification of system …
[HTML][HTML] Deep Learning for Predicting Traffic in V2X Networks
AR Abdellah, A Muthanna, MH Essai, A Koucheryavy - Applied Sciences, 2022 - mdpi.com
Artificial intelligence (AI) is capable of addressing the complexities and difficulties of fifth-
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …
generation (5G) mobile networks and beyond. In this paradigm, it is important to predict …
AI-enabled reliable QoS in multi-RAT wireless IoT networks: prospects, challenges, and future directions
K Zia, A Chiumento… - IEEE Open Journal of the …, 2022 - ieeexplore.ieee.org
Wireless IoT networks have seen an unprecedented rise in number of devices,
heterogeneity and emerging use cases which led to diverse throughput, reliability and …
heterogeneity and emerging use cases which led to diverse throughput, reliability and …