A review of lithium-ion battery state of charge estimation based on deep learning: Directions for improvement and future trends

Y Liu, Y He, H Bian, W Guo, X Zhang - Journal of Energy Storage, 2022 - Elsevier
With the rapid growth in productivity, the need for fossil has increased, spurring research
and development of new energy sources. In the automotive industry, the development of …

A survey on mobile edge computing: Focusing on service adoption and provision

K Peng, VCM Leung, X Xu, L Zheng… - Wireless …, 2018 - Wiley Online Library
Mobile cloud computing (MCC) integrates cloud computing (CC) into mobile networks,
prolonging the battery life of the mobile users (MUs). However, this mode may cause …

An adaptive federated learning scheme with differential privacy preserving

X Wu, Y Zhang, M Shi, P Li, R Li, NN Xiong - Future Generation Computer …, 2022 - Elsevier
Driven by the upcoming development of the sixth-generation communication system (6G),
the distributed machine learning schemes represented by federated learning has shown …

Use of organic and copper‐based nanoparticles on the turbulator installment in a shell tube heat exchanger: a CFD‐based simulation approach by using nanofluids

S Chupradit, AT Jalil, Y Enina… - Journal of …, 2021 - Wiley Online Library
Heat exchangers with unique specifications are administered in the food industry, which has
expanded its sphere of influence even to the automotive industry due to this feature. It has …

SG-PBFT: A secure and highly efficient distributed blockchain PBFT consensus algorithm for intelligent Internet of vehicles

G Xu, H Bai, J Xing, T Luo, NN Xiong, X Cheng… - Journal of Parallel and …, 2022 - Elsevier
As an application of Internet of Things (IoT) technology, the Internet of Vehicles (IoV) faces
two main security issues:(1) the central server of the IoV may not be powerful enough to …

Stochastic computation offloading and trajectory scheduling for UAV-assisted mobile edge computing

J Zhang, L Zhou, Q Tang, ECH Ngai… - IEEE Internet of …, 2018 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) has been witnessed as a promising approach for offering
extensive coverage and additional computation capability to smart mobile devices (SMDs) …

Study on three-dimensional dynamic stability of open-pit high slope under blasting vibration

X Li, Q Li, Y Hu, Q Chen, J Peng, Y Xie… - Lithosphere, 2022 - pubs.geoscienceworld.org
The propagation process of blasting vibration has always been a difficult problem affecting
the stability of high slopes in open-pit mines. Taking the Jianshan Phosphorus Mine as the …

SDNN-PPI: self-attention with deep neural network effect on protein-protein interaction prediction

X Li, P Han, G Wang, W Chen, S Wang, T Song - BMC genomics, 2022 - Springer
Abstract Background Protein-protein interactions (PPIs) dominate intracellular molecules to
perform a series of tasks such as transcriptional regulation, information transduction, and …

An UAV-enabled intelligent connected transportation system with 6G communications for internet of vehicles

R Liu, A Liu, Z Qu, NN Xiong - IEEE Transactions on Intelligent …, 2021 - ieeexplore.ieee.org
6G networks provide faster communication for connected vehicles. These vehicles are
connected to the Internet, forming the Internet of Vehicles (IoV). Due to the development of …

Classification of optimization problems in fog computing

J Bellendorf, ZÁ Mann - Future Generation Computer Systems, 2020 - Elsevier
Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …