Unlocking the future: fostering human–machine collaboration and driving intelligent automation through industry 5.0 in smart cities

A Adel - Smart Cities, 2023 - mdpi.com
In the quest to meet the escalating demands of citizens, future smart cities emerge as crucial
entities. Their role becomes even more vital given the current challenges posed by rapid …

The role of artificial intelligence and digital technologies in dam engineering: Narrative review and outlook

MA Hariri-Ardebili, G Mahdavi, LK Nuss… - Engineering Applications of …, 2023 - Elsevier
This narrative review paper explores the diverse applications of artificial intelligence (AI) in
the field of dam engineering. Authored by research engineers specializing in civil …

An improved fire detection approach based on YOLO-v8 for smart cities

FM Talaat, H ZainEldin - Neural Computing and Applications, 2023 - Springer
Fires in smart cities can have devastating consequences, causing damage to property, and
endangering the lives of citizens. Traditional fire detection methods have limitations in terms …

A survey: Future smart cities based on advance control of Unmanned Aerial Vehicles (UAVs)

N Abbas, Z Abbas, X Liu, SS Khan, ED Foster… - Applied Sciences, 2023 - mdpi.com
This article presents a survey of unmanned aerial vehicle (UAV) applications in smart cities,
emphasizing integration challenges. Smart cities leverage innovative technologies …

Aerial: A meta review and discussion of challenges toward unmanned aerial vehicle operations in logistics, mobility, and monitoring

S Wandelt, S Wang, C Zheng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
There exists a tremendous number of research surveys on various aspects of UAV logistics,
mobility and monitoring tasks in the literature. These surveys have been published in distinct …

Drone transportation system: Systematic review of security dynamics for smart mobility

SO Ajakwe, DS Kim, JM Lee - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The intelligence and integrity of a real-time cyber–physical system depend on how
trustworthy the data's legitimacy, appropriation, and authorization are during end-to-end …

Application of GIS and IoT Technology based MCDM for Disaster Risk Management: Methods and Case Study

NM AbdelAziz, KA Eldrandaly… - … in Management and …, 2024 - dmame-journal.org
This study proposes a two-phase framework to enhance disaster management strategies for
flooding using Geographic Information System (GIS) and Internet of Things (IoT) real-time …

Deep reinforcement learning for truck-drone delivery problem

Z Bi, X Guo, J Wang, S Qin, G Liu - Drones, 2023 - mdpi.com
Utilizing drones for delivery is an effective approach to enhancing delivery efficiency and
lowering expenses. However, to overcome the delivery range and payload capacity …

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] Revolutionizing RPAS logistics and reducing CO2 emissions with advanced RPAS technology for delivery systems

A Mahmoodi, L Hashemi, J Laliberte, RC Millar… - Cleaner Logistics and …, 2024 - Elsevier
To manage remotely piloted aircraft system (RPAS) networks effectively, this research
presents a multi-objective location-routing optimization model. This model integrates time …