[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 …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook

X Zou, Y Yan, X Hao, Y Hu, H Wen, E Liu… - arXiv preprint arXiv …, 2024 - arxiv.org
As cities continue to burgeon, Urban Computing emerges as a pivotal discipline for
sustainable development by harnessing the power of cross-domain data fusion from diverse …

AI-based sensor information fusion for supporting deep supervised learning

CK Leung, P Braun, A Cuzzocrea - Sensors, 2019 - mdpi.com
In recent years, artificial intelligence (AI) and its subarea of deep learning have drawn the
attention of many researchers. At the same time, advances in technologies enable the …

Data fusion and IoT for smart ubiquitous environments: A survey

F Alam, R Mehmood, I Katib, NN Albogami… - Ieee …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions

SB Atitallah, M Driss, W Boulila, HB Ghézala - Computer Science Review, 2020 - Elsevier
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …

Urban big data fusion based on deep learning: An overview

J Liu, T Li, P Xie, S Du, F Teng, X Yang - Information Fusion, 2020 - Elsevier
Urban big data fusion creates huge values for urban computing in solving urban problems.
In recent years, various models and algorithms based on deep learning have been …

Machine learning and deep learning algorithms for smart cities: a start-of-the-art review

ID Oladipo, M AbdulRaheem, JB Awotunde… - IoT and IoE driven smart …, 2021 - Springer
The development in our urban cities has increased significant risks with everyday lives, like
traffic congestion, pollution of the atmosphere, energy use, and public safety among others …

A survey on an emerging area: Deep learning for smart city data

Q Chen, W Wang, F Wu, S De, R Wang… - … on Emerging Topics …, 2019 - ieeexplore.ieee.org
Rapid urbanization has brought about great challenges to our daily lives, such as traffic
congestion, environmental pollution, energy consumption, public safety, and so on …

Urban planning and smart city decision management empowered by real-time data processing using big data analytics

BN Silva, M Khan, C Jung, J Seo, D Muhammad, J Han… - Sensors, 2018 - mdpi.com
The Internet of Things (IoT), inspired by the tremendous growth of connected heterogeneous
devices, has pioneered the notion of smart city. Various components, ie, smart …