[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 …

From sensors to safety: Internet of Emergency Services (IoES) for emergency response and disaster management

R Damaševičius, N Bacanin, S Misra - Journal of Sensor and Actuator …, 2023 - mdpi.com
The advancement in technology has led to the integration of internet-connected devices and
systems into emergency management and response, known as the Internet of Emergency …

TinyML for ultra-low power AI and large scale IoT deployments: A systematic review

N Schizas, A Karras, C Karras, S Sioutas - Future Internet, 2022 - mdpi.com
The rapid emergence of low-power embedded devices and modern machine learning (ML)
algorithms has created a new Internet of Things (IoT) era where lightweight ML frameworks …

Urban computing for sustainable smart cities: Recent advances, taxonomy, and open research challenges

IAT Hashem, RSA Usmani, MS Almutairi, AO Ibrahim… - Sustainability, 2023 - mdpi.com
The recent proliferation of ubiquitous computing technologies has led to the emergence of
urban computing that aims to provide intelligent services to inhabitants of smart cities. Urban …

An efficient edge computing management mechanism for sustainable smart cities

QV Khanh, VH Nguyen, QN Minh, AD Van… - … Informatics and Systems, 2023 - Elsevier
Since ancient times, humanity has envisioned a world where people and things connect and
interact. The advent of generation mobile systems, the so-called 5 G in the early century, has …

Achieving sustainable smart cities through geospatial data-driven approaches

DG Costa, JCN Bittencourt, F Oliveira, JPJ Peixoto… - Sustainability, 2024 - mdpi.com
In recent years, the concept of smart cities has become increasingly important in the pursuit
of sustainable development goals. In general, common urban challenges have been …

Unlocking artificial intelligence adoption in local governments: best practice lessons from real-world implementations

T Yigitcanlar, A David, W Li, C Fookes, SE Bibri, X Ye - Smart Cities, 2024 - mdpi.com
In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI)
is increasingly evident across various sectors, including local governments. These …

Machine learning for emergency management: A survey and future outlook

C Kyrkou, P Kolios, T Theocharides… - Proceedings of the …, 2022 - ieeexplore.ieee.org
Emergency situations encompassing natural and human-made disasters, as well as their
cascading effects, pose serious threats to society at large. Machine learning (ML) algorithms …

[HTML][HTML] A data-driven clustering approach for assessing spatiotemporal vulnerability to urban emergencies

JCN Bittencourt, DG Costa, P Portugal… - Sustainable Cities and …, 2024 - Elsevier
Urban vulnerability to emergencies has become a relevant issue as cities get bigger and the
negative impacts of climatic changes become more prominent. In recent years, smart city …

Cognitive city platform as digital public infrastructure for develo** a smart, sustainable and resilient city in Indonesia

OM Prabowo, E Mulyana, IGBB Nugraha… - IEEE …, 2023 - ieeexplore.ieee.org
The development of smart cities has evolved through several generations since the
beginning. Many requirements and technologies have been devised to facilitate the …