[HTML][HTML] A systematic review of data fusion techniques for optimized structural health monitoring

S Hassani, U Dackermann, M Mousavi, J Li - Information Fusion, 2023 - Elsevier
Advancements in structural health monitoring (SHM) techniques have spiked in the past few
decades due to the rapid evolution of novel sensing and data transfer technologies. This …

[HTML][HTML] Smart mobility with Big Data: approaches, applications, and challenges

D Lee, D Camacho, JJ Jung - Applied Sciences, 2023 - mdpi.com
Many vehicles are connected to the Internet, and big data are continually created. Various
studies have been conducted involving the development of artificial intelligence, machine …

The technological innovation of hybrid and plug-in electric vehicles for environment carbon pollution control

J Zhao, XI Xi, QI Na, S Wang, SN Kadry… - Environmental Impact …, 2021 - Elsevier
Abstract Plug-in Hybrid Electric Vehicles (PHEV) have been promoted by providing Vehicle-
to-Grid (V2G) infrastructure as a possible solution to reduce greenhouse gas (GHG) and …

Cloud assisted Internet of things intelligent transportation system and the traffic control system in the smart city

C Liu, L Ke - Journal of Control and Decision, 2023 - Taylor & Francis
Presently, most smart cities face massive traffic issues every day. The smart cities' significant
challenge is the traffic control system, wherein some places are automated and cost …

Fully convolutional neural networks for LIDAR–camera fusion for pedestrian detection in autonomous vehicle

J Alfred Daniel, C Chandru Vignesh, BA Muthu… - Multimedia Tools and …, 2023 - Springer
Pedestrian detection appears to be an integral part of a vast array of vision-based
technologies, ranging from item recognition and monitoring via surveillance cameras to …

[PDF][PDF] Deep learning-based classification of fruit diseases: An application for precision agriculture

IM Nasir, A Bibi, JH Shah, MA Khan… - Comput. Mater …, 2021 - cdn.techscience.cn
Agriculture is essential for the economy and plant disease must be minimized. Early
recognition of problems is important, but the manual inspection is slow, error-prone, and has …

Preventing the False Negatives of Vehicle Object Detection in Autonomous Driving Control Using Clear Object Filter Technique

VSR Kosuru, AK Venkitaraman - 2022 Third International …, 2022 - ieeexplore.ieee.org
Autonomous vehicle also known as “Self-Driving” vehicle uses handful of algorithms and
decision-making controls that can operate vehicle with little to no effort from human …

Autonomous vehicles decision-making enhancement using self-determination theory and mixed-precision neural networks

MH Ali, MM Jaber, J Alfred Daniel, CC Vignesh… - Multimedia Tools and …, 2023 - Springer
The safe human-level decision-making for expressing the autonomous vehicles and the
estimation of the eco vehicles has been proposed for the motion control for the driving …

Routing and scheduling of intelligent autonomous vehicles in industrial logistics systems

SS Abosuliman, AO Almagrabi - Soft Computing, 2021 - Springer
Nowadays, industries have to deal with an increasingly competitive environment. In this
sense, the operational process optimization to increase efficiency is crucial. The industrial …

Liquid‐Interfaces‐Based Triboelectric Nanogenerator: An Emerging Power Generation Method from Liquid‐Energy Nexus

J Fu, G Xu, H Wu, C Li, Y Zi - Advanced energy and …, 2022 - Wiley Online Library
As a state of matter, liquids exist in an extremely wide range, including water such as that in
oceans and rivers, as well as various solutions, oils, liquid metals, etc. Due to the fluidity of …