[HTML][HTML] Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

SE Bibri, J Krogstie, A Kaboli, A Alahi - Environmental Science and …, 2024 - Elsevier
The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …

Study on city digital twin technologies for sustainable smart city design: A review and bibliometric analysis of geographic information system and building information …

H **a, Z Liu, M Efremochkina, X Liu, C Lin - Sustainable Cities and Society, 2022 - Elsevier
Geographic information system (GIS) data provide geospatial data on cities and spatial
analysis functions that are essential for urban design. Building information modeling (BIM) …

A systematic review of the smart energy conservation system: From smart homes to sustainable smart cities

H Kim, H Choi, H Kang, J An, S Yeom… - … and sustainable energy …, 2021 - Elsevier
In recent years, smart cities have emerged with energy conservation systems for managing
energy in cities as well as buildings. Although many studies on energy conservation systems …

Blockchain for smart cities: A review of architectures, integration trends and future research directions

B Bhushan, A Khamparia, KM Sagayam… - Sustainable Cities and …, 2020 - Elsevier
In recent years, smart city has emerged as a new paradigm to provide high quality facilities
to the citizens by dynamically optimising the city resources. Smart cities can offer finest …

Modeling and forecasting building energy consumption: A review of data-driven techniques

M Bourdeau, X qiang Zhai, E Nefzaoui, X Guo… - Sustainable Cities and …, 2019 - Elsevier
Building energy consumption modeling and forecasting is essential to address buildings
energy efficiency problems and take up current challenges of human comfort, urbanization …

Environmentally sustainable smart cities and their converging AI, IoT, and big data technologies and solutions: an integrated approach to an extensive literature …

SE Bibri, A Alexandre, A Sharifi, J Krogstie - Energy Informatics, 2023 - Springer
There have recently been intensive efforts aimed at addressing the challenges of
environmental degradation and climate change through the applied innovative solutions of …

Deep learning for air pollutant concentration prediction: A review

B Zhang, Y Rong, R Yong, D Qin, M Li, G Zou… - Atmospheric …, 2022 - Elsevier
Air pollution has become one of the critical environmental problem in the 21st century and
has attracted worldwide attentions. To mitigate it, many researchers have investigated the …

[HTML][HTML] Deep learning for network traffic monitoring and analysis (NTMA): A survey

M Abbasi, A Shahraki, A Taherkordi - Computer Communications, 2021 - Elsevier
Modern communication systems and networks, eg, Internet of Things (IoT) and cellular
networks, generate a massive and heterogeneous amount of traffic data. In such networks …

UAV swarm intelligence: Recent advances and future trends

Y Zhou, B Rao, W Wang - Ieee Access, 2020 - ieeexplore.ieee.org
The dynamic uncertain environment and complex tasks determine that the unmanned aerial
vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In …

A survey on internet of things security: Requirements, challenges, and solutions

H HaddadPajouh, A Dehghantanha, RM Parizi… - Internet of Things, 2021 - Elsevier
Abstract Internet of Things (IoT) is one of the most promising technologies that aims to
enhance humans' quality of life (QoL). IoT plays a significant role in several fields such as …