Towards crowdsourcing internet of things (crowd-iot): Architectures, security and applications

KLM Ang, JKP Seng, E Ngharamike - Future Internet, 2022 - mdpi.com
Crowdsourcing can play an important role in the Internet of Things (IoT) applications for
information sensing and gathering where the participants are equipped with geolocated …

Review of transit data sources: potentials, challenges and complementarity

L Ge, M Sarhani, S Voß, L Xie - Sustainability, 2021 - mdpi.com
Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …

Data-driven planning of electric vehicle charging infrastructure: A case study of Sydney, Australia

C Li, Z Dong, G Chen, B Zhou… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the increase of vehicle travelling range and the decrease of vehicle expense, Electric
Vehicles (EVs) are gaining popularity as a new transport option which offers a great …

Ant based routing algorithm for balanced the load and optimized the AMNET lifetime

H Azath, AK Velmurugan, K Padmanaban… - AIP Conference …, 2023 - pubs.aip.org
Mobile ad hoc networNs (MANETs) are perfect for positions here lacNing preset structure.
Nowadays, may experience from partitioning networN. This restriction builds MANETs …

A fatigue driving detection algorithm based on facial multi-feature fusion

K Li, Y Gong, Z Ren - IEEE Access, 2020 - ieeexplore.ieee.org
Researches on machine vision-based driver fatigue detection algorithm have improved
traffic safety significantly. Generally, many algorithms do not analyze driving state from driver …

RMGen: A tri-layer vehicular trajectory data generation model exploring urban region division and mobility pattern

X Kong, Q Chen, M Hou, A Rahim… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As an important branch of the Internet of Things (IoT), the Internet of Vehicles (IoV) has
attracted extensive attention in the research field. To deeply study the IoV and build a …

A real-time driving drowsiness detection algorithm with individual differences consideration

F You, X Li, Y Gong, H Wang, H Li - Ieee Access, 2019 - ieeexplore.ieee.org
The research work about driving drowsiness detection algorithm has great significance to
improve traffic safety. Presently, there are many fruits and literature about driving drowsiness …

Multiagent actor-critic network-based incentive mechanism for mobile crowdsensing in industrial systems

B Gu, X Yang, Z Lin, W Hu, M Alazab… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is an appealing sensing paradigm that leverages the sensing
capabilities of smart devices and the inherent mobility of device owners to accomplish …

Mobile edge cooperation optimization for wearable internet of things: a network representation-based framework

X Kong, S Tong, H Gao, G Shen… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As a new computing paradigm, edge computing emerges in various fields. Many tasks
previously relied on cloud computing are distributed to various edge devices that cooperate …

Gomic: Multi-view image clustering via self-supervised contrastive heterogeneous graph co-learning

U Fang, J Li, N Akhtar, M Li, Y Jia - World Wide Web, 2023 - Springer
Graph learning is being increasingly applied to image clustering to reveal intra-class and
inter-class relationships in data. However, existing graph learning-based image clustering …