[HTML][HTML] Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature

T Yigitcanlar, KC Desouza, L Butler, F Roozkhosh - Energies, 2020 - mdpi.com
Artificial intelligence (AI) is one of the most disruptive technologies of our time. Interest in the
use of AI for urban innovation continues to grow. Particularly, the rise of smart cities—urban …

[HTML][HTML] A survey of collaborative UAV–WSN systems for efficient monitoring

D Popescu, F Stoican, G Stamatescu, O Chenaru… - Sensors, 2019 - mdpi.com
Integrated systems based on wireless sensor networks (WSNs) and unmanned aerial
vehicles (UAVs) with electric propulsion are emerging as state-of-the-art solutions for large …

[HTML][HTML] Information fusion and artificial intelligence for smart healthcare: a bibliometric study

X Chen, H Xie, Z Li, G Cheng, M Leng… - Information Processing & …, 2023 - Elsevier
With the fast progress in information technologies and artificial intelligence (AI), smart
healthcare has gained considerable momentum. By using advanced technologies like AI …

[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 …

Systematic analysis of artificial intelligence in the era of industry 4.0

W Chen, W He, J Shen, X Tian… - Journal of Management …, 2023 - Taylor & Francis
Artificial Intelligence has been playing a profound role in the global economy, social
progress, and people's daily life. With the increasing capabilities and accuracy of AI, the …

Predictive analytics on open big data for supporting smart transportation services

PPF Balbin, JCR Barker, CK Leung, M Tran… - Procedia computer …, 2020 - Elsevier
In the current era of big data, huge quantities of valuable data, which may be of different
levels of veracity, are being generated at a rapid rate. Embedded into these big data are …

A fuzzy logic based machine learning tool for supporting big data business analytics in complex artificial intelligence environments

S Ahn, SV Couture, A Cuzzocrea, K Dam… - … conference on fuzzy …, 2019 - ieeexplore.ieee.org
Business analytics use techniques from data science, data mining, artificial intelligence
(especially, machine learning), mathematics and statistics to gain insights and …

[HTML][HTML] Artificial intelligence in the smart city—a literature review

D Szpilko, FJ Naharro, G Lăzăroiu, E Nica… - … in Production and …, 2023 - sciendo.com
The influence of artificial intelligence (AI) in smart cities has resulted in enhanced efficiency,
accessibility, and improved quality of life. However, this integration has brought forth new …

[HTML][HTML] Data, AI and governance in MaaS–Leading to sustainable mobility?

E Servou, F Behrendt, M Horst - Transportation research interdisciplinary …, 2023 - Elsevier
Abstract Mobility-as-a-Service (MaaS) is regarded as key innovation for sustainable mobility,
with data and AI playing a central role. This paper explores the nexus of data-AI-governance …

Adaptive machine learning algorithm and analytics of big genomic data for gene prediction

OA Sarumi, CK Leung - Tracking and preventing diseases with artificial …, 2022 - Springer
Artificial intelligence helps in tracking and preventing diseases. For instance, machine
learning algorithms can analyze big genomic data and predict genes, which helps …