Reviewing the role of artificial intelligence in energy efficiency optimization

TM Olatunde, AC Okwandu, DO Akande… - Engineering Science & …, 2024 - fepbl.com
Artificial intelligence (AI) is revolutionizing the field of energy efficiency optimization by
enabling advanced analysis and control of energy systems. This review provides a concise …

Trust as a key element for quality communication and information management: insights into developing safe cyber-organisational sustainability

M Huda - International Journal of Organizational Analysis, 2023 - emerald.com
Purpose In recent years, issues like untrusted or questionable sources of information are
indisputably rampant in the digital era. The quality of information is now found to be …

[HTML][HTML] Comprehensive Systematic Review of Information Fusion Methods in Smart Cities and Urban Environments

MA Fadhel, AM Duhaim, A Saihood, A Sewify… - Information …, 2024 - Elsevier
Smart cities result from integrating advanced technologies and intelligent sensors into
modern urban infrastructure. The Internet of Things (IoT) and data integration are pivotal in …

[HTML][HTML] AI-enabled traffic control prioritization in software-defined IoT networks for smart agriculture

F Masood, WU Khan, SU Jan, J Ahmad - Sensors, 2023 - mdpi.com
Smart agricultural systems have received a great deal of interest in recent years because of
their potential for improving the efficiency and productivity of farming practices. These …

Low-cost traffic sensing system based on LoRaWAN for urban areas

HB Pasandi, A Haqiqat, A Moradbeikie… - Proceedings of the 1st …, 2022 - dl.acm.org
The advent of Low Power Wide Area Networks (LPWAN) has enabled the feasibility of
wireless sensor networks for environmental traffic sensing across urban areas. In this study …

[HTML][HTML] A Novel Authentication and Communication Protocol for Urban Traffic Monitoring in VANETs Based on Cluster Management

RMA Latif, M Jamil, J He, M Farhan - Systems, 2023 - mdpi.com
City zones have become increasingly overcrowded due to the extensive population
widening ratio and the swift relocation of people from villages. The traffic monitoring process …

COOL: A conjoint perspective on spatio-temporal graph neural network for traffic forecasting

W Ju, Y Zhao, Y Qin, S Yi, J Yuan, Z Xiao, X Luo… - Information …, 2024 - Elsevier
This paper investigates traffic forecasting, which attempts to forecast the future state of traffic
based on historical situations. This problem has received ever-increasing attention in …

Spatial-temporal evolution analysis of the impact of smart transportation policies on urban carbon emissions

H Lu, C Xiao, L Jiao, X Du, A Huang - Sustainable Cities and Society, 2024 - Elsevier
The impact of smart transportation policies on carbon emission control has become a new
issue in urban development. Existing literature has primarily focused on smart transportation …

Adaptive signal light timing for regional traffic optimization based on graph convolutional network empowered traffic forecasting

T Fu, L Wang, S Garg, MS Hossain, Q Yu, H Hu - Information Fusion, 2024 - Elsevier
With the acceleration of urbanization, urban traffic congestion is becoming more and more
serious, in which the timing of signal lights for regional traffic optimization is particularly …

[HTML][HTML] Exploring the Roles, Future Impacts, and Strategic Integration of Artificial Intelligence in the Optimization of Smart City—From Systematic Literature Review to …

R Alsabt, YA Adenle, HM Alshuwaikhat - Sustainability, 2024 - mdpi.com
Artificial Intelligence (AI) is one of the science fields with huge potential to create a cognitive
and tech-leaping type of future smart city design/development. However, extant studies lag …