Exploring the effects of pandemics on transportation through correlations and deep learning techniques
The COVID-19 pandemic has had a significant impact on human migration worldwide,
affecting transportation patterns in cities. Many cities have issued" stay-at-home" orders …
affecting transportation patterns in cities. Many cities have issued" stay-at-home" orders …
Distributed agent-based deep reinforcement learning for large scale traffic signal control
Traffic signal control (TSC) is an established yet challenging engineering solution that
alleviates traffic congestion by coordinating vehicles' movements at road intersections …
alleviates traffic congestion by coordinating vehicles' movements at road intersections …
Robust amplitude-limited interval type-3 neuro-fuzzy controller for robot manipulators with prescribed performance by output feedback
This paper proposes a new observer-based bounded adaptive fuzzy controller for robotic
manipulators with a prescribed performance subjected to uncertainties. To this end, interval …
manipulators with a prescribed performance subjected to uncertainties. To this end, interval …
[HTML][HTML] Modified Mamdani-fuzzy inference system for predicting the cost overrun of construction projects
Cost overruns are a common worldwide problem in the construction industry; improved
proactive risk management and cost control are much needed. Several models have been …
proactive risk management and cost control are much needed. Several models have been …
Improving the accuracy of diagnostic predictions for power transformers by employing a hybrid approach combining SMOTE and DNN
In power transformers, accurate diagnosis prediction plays a crucial role in ensuring the
reliability and efficiency of electrical systems. This paper presents an enhanced diagnostic …
reliability and efficiency of electrical systems. This paper presents an enhanced diagnostic …
Influencing Factor-Decoupled Battery Ageing Assessment for Real-world Electric Vehicles based on Fusion of Fuzzy Logic and Neural Network
The Incremental Capacity Analysis (ICA) method is a typical data-driven method with great
potential in battery ageing assessment for electric vehicles (EVs). However, the battery …
potential in battery ageing assessment for electric vehicles (EVs). However, the battery …
A reference framework for the digital twin smart factory based on cloud-fog-edge computing collaboration
Digital twin (DT) is an important approach for the factory to achieve intelligence. Due to the
different scenarios and definitions, the generalization of frameworks for DT-based smart …
different scenarios and definitions, the generalization of frameworks for DT-based smart …
Research on a fuzzy algorithm for intelligent power-saving control of urban street lamps
H Wu, C Li, G Duan - Proceedings of the Institution of Civil …, 2023 - icevirtuallibrary.com
Urbanisation has increased the demand for energy-efficient and environmentally friendly
street lighting systems. However, traditional urban lighting uses time interval control and …
street lighting systems. However, traditional urban lighting uses time interval control and …
Feasibility of economic forecasting model based on intelligent algorithm of smart city
Y He, XK Li - Mobile Information Systems, 2022 - Wiley Online Library
Smart cities make better use of space and have less traffic, cleaner air, and more efficient
municipal services, improving people's quality of life. The vast number of vehicles …
municipal services, improving people's quality of life. The vast number of vehicles …
A Deep Learning Framework for IoT Lightweight Traffic Multi-classification: Smart-cities
LP Mudarakola, VK Bukkarayasamudram… - … Journal of Sensors …, 2024 - benthamdirect.com
Aims and Background: Increased traffic volume is a major challenge for effective network
management in the wake of the proliferation of mobile computing and the Internet of Things …
management in the wake of the proliferation of mobile computing and the Internet of Things …