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 …

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 …

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 …

UAV fleet as a dependable service for smart cities: Model-based assessment and application

V Kharchenko, I Kliushnikov, A Rucinski, H Fesenko… - Smart Cities, 2022 - mdpi.com
The paper suggests a model-based approach to assessment and choice of parameters of
unmanned aerial vehicle (UAV) fleets applied as one of the main services for Smart Cities …

Citizen empowerment through smart surveillance: evidence from Indian smart cities

P Khanna, S Khanra - Digital Policy, Regulation and Governance, 2023 - emerald.com
Purpose Citizens often perceive surveillance by government authorities as oppressive and,
hence, demonstrate reluctance in value co-creation from such services. This study aims to …

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 …

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 …

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 …

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 …