The Role of Artificial Intelligence in Aviation Construction Projects in the United Arab Emirates: Insights from Construction Professionals DOI Creative Commons

Mariam Abdalla Alketbi,

Fikri Dweiri, Doraid Dalalah

et al.

Applied Sciences, Journal Year: 2024, Volume and Issue: 15(1), P. 110 - 110

Published: Dec. 27, 2024

The applications of Artificial Intelligence (AI) in the airport industry are significantly transforming operational efficiency, safety, and passenger experiences. This study investigates integration AI within aviation construction projects, with a focus on United Arab Emirates (UAE). While technologies such as facial recognition, IoT, biometric systems have advanced security operations, their use project management remains limited. A survey was conducted among 101 engineering professionals experts experience or involvement managing aviation-related projects. Participants, many whom had familiarity tools, provided insights into applicability areas planning, scheduling, safety monitoring. majority agreed that has potential to revolutionize processes, improving decision-making, efficiency. tools can predict delays, optimize workflows, enhance through real-time data analytics machine learning algorithms, reducing risks human error. Despite UAE’s leadership AI-driven advancements, its is still underdeveloped. research highlights for broader across entire lifecycle By adopting these areas, UAE airports could set new benchmarks cost effectiveness, sustainability, delivery, reinforcing region’s status leader technological innovation industry.

Language: Английский

Integrating ChatGPT, Bard, and leading-edge generative artificial intelligence in architectural design and engineering: applications, framework, and challenges DOI

Nitin Rane,

Saurabh Choudhary, Jayesh Rane

et al.

SSRN Electronic Journal, Journal Year: 2023, Volume and Issue: unknown

Published: Jan. 1, 2023

This research paper delves into the integration of advanced generative artificial intelligence (AI) models, such as ChatGPT, Bard, and similar architectures, within realms architectural design engineering. The comprehensive study explores various aspects, including applications, frameworks, challenges, prospective developments in context In domain design, investigates transformative impact on Architectural Theory, highlighting how AI fosters creativity innovation thinking. Design Process is scrutinized, showcasing models streamline ideation, iteration, collaboration among teams. role Representation Visualization explored, emphasizing its capacity to generate immersive realistic visualizations. Furthermore, examines influence Interior Design, Urban Planning, considers nuanced aspects Cultural Social factors, elucidating these technologies contribute inclusive context-sensitive practices. Within realm engineering, assesses Structural Engineering, demonstrating potential optimize innovate structural analysis designs for enhanced safety efficiency. It applications Building Systems Construction Management, illustrating can project workflows resource allocation. compliance with Codes Regulations analyzed, error reduction adherence standards. Additionally, probes Materials Technology, advancements material selection construction methodologies. also promoting Sustainability Environmental energy efficiency, reduce environmental impact, enhance overall sustainability. While presenting critically evaluates challenges posed by integrating domains, ethical considerations, bias mitigation, user adaptability. Finally, it outlines future directions development, necessity interdisciplinary collaboration, guidelines, ongoing fully harness shaping

Language: Английский

Citations

20
Computer vision in drone imagery for infrastructure management DOI Creative Commons
Naveed Ejaz, Salimur Choudhury

Automation in Construction, Journal Year: 2024, Volume and Issue: 163, P. 105418 - 105418

Published: April 15, 2024

Tertiary studies are conducted to offer a comprehensive perspective on subject by compiling secondary literature at meta-level. This study appraises in computer vision applications for infrastructure management using drone-captured imagery investigate different dimensions, trends and quality of studies. tertiary uses three databases select published from 2018 2023. A total 57 analyzed. Various demographic temporal patterns examined assessing the prevalence concerning year publication, publishing platforms, nature synthesis carried out. The is evaluated Database Abstracts Reviews Effects (DARE) criteria. thematic analysis identifies six major application areas management, with miscellaneous categorized separately. findings overview technological advancements, challenges, potential drone imagery.

Language: Английский

Citations

6
Leveraging Cost-Effective AI and Smart Technologies for Rapid Infrastructural Development in USA DOI Creative Commons

Philips Akinola

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(1), P. 59 - 71

Published: July 26, 2024

High cost of building makes houses expensive for US citizens and residents. Thus, this study proposes the leveraging cost-effective artificial intelligence (AI) smart technologies (ST) rapid infrastructural development in US. It considers them as sustainable means tackling challenges attainment affordable houses. The explores potentials prominent AI capable reducing US, which would become all. primary data are obtained from telephone interviews with 10 construction workers 5 experts AI, alongside observation introspection. secondary drawn library internet. Qualitative method, thematic content analyses, systematic review, descriptive interpretive tools employed. results show Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Robotic Process Automation to be technologies, while Building Systems, Internet Things, Renewable Energy Smart Water Management Systems technologies. concludes that identified not only cost-effective, but also transformative innovation-driven can leveraged increase efficiency, productivity, quality delivery satisfactory services. recommends government organizations cost-effectiveness towards attaining USA.

Language: Английский

Citations

5
Integrating ChatGPT, Bard, and Leading-Edge Generative Artificial Intelligence in Architectural Design and Engineering: Applications, Framework, and Challenges DOI Open Access
Nitin Liladhar Rane,

Saurabh P. Choudhary,

Jayesh Rane

et al.

International Journal of Architecture and Planning, Journal Year: 2023, Volume and Issue: 3(2), P. 92 - 124

Published: Sept. 5, 2023

This research paper investigates the integration of advanced generative artificial intelligence (AI) models, such as ChatGPT, Bard, and similar architectures, in architectural design engineering.The comprehensive study explores various aspects, including applications, frameworks, challenges, prospective developments context engineering.In design, transformative impact on Architectural Theory, highlighting how AI fosters creativity innovation thinking.The Design Process is scrutinized, showcasing models streamline ideation, iteration, collaboration among teams.Furthermore, examines influence Interior Design, Urban Planning, considers nuanced aspects Cultural Social factors, elucidating these technologies contribute to inclusive context-sensitive practices.In engineering, assesses Structural Engineering, demonstrating its potential optimize innovate structural analysis designs for enhanced safety efficiency.It applications Building Systems Construction Management, illustrating can project workflows resource allocation.The compliance with Codes Regulations analyzed, emphasizing error reduction adherence standards.Additionally, probes into Materials Technology, advancements material selection construction methodologies.The also role promoting Sustainability Environmental energy efficiency, reduce environmental impact, enhance overall sustainability.Finally, outlines challenges future directions development fully harness shaping engineering.

Language: Английский

Citations

11
Achieving Housing Affordability in the U.S. through Sustained Use of AI and Robotic Process Automation for Prefabricated Modular Construction DOI Creative Commons

Akintayo Philips Akinola,

Bharadwaj Thuraka,

Similoluwa Blossom Adesuwa Okpeseyi

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(1), P. 122 - 134

Published: Aug. 13, 2024

The rising housing issues occasioned by high costs in the United States (US) are traceable to of building materials and construction. This study proposes combined leveraging AI Robotic Process Automation (RPA) for prefabricated modular construction as a strategic means reducing increasing efficiency It argues that doing so would pave way affordability US. Deploying descriptive survey qualitative method alongside applicable interpretive techniques, demonstrates course its analysis RPA viable housing, efficiency. submits amidst established constraints ideal extent activities, yields huge positive results among which reduced increased Government organizations charged play enabling roles adoption sustainability including construction, achieve increase

Language: Английский

Citations

4
The Concept of Improvement of Apartment Building Survey Works with the Use of Artificial Intelligence Systems in the Arctic Zone DOI
Azariy Lapidus, Tembot Bidov, Alan Khubaev

et al.

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 103 - 115

Published: Jan. 1, 2025

Language: Английский

Citations

0
Human-Computer Interaction Empowers Construction Safety Management: Breaking Through Difficulties to Achieving Innovative Leap DOI Creative Commons
Hao Peng, Wang Xiao-lin, Han Wu

et al.

Buildings, Journal Year: 2025, Volume and Issue: 15(5), P. 771 - 771

Published: Feb. 26, 2025

This paper focuses on the application of human–computer interaction technology in construction project safety management. Through bibliometric methods, we carried out an in-depth analysis 286 relevant papers from Web Science and Google Scholar 2000 to 2024. The research results indicate that has achieved remarkable development four aspects: intelligent monitoring systems, risk assessment management, ergonomics cognitive psychology, as well computer simulation virtual reality. Meanwhile, this given rise a series new topics, such operation decision-making method for machinery, human action behavior recognition technology, Internet Things control smart sites. Additionally, future modules have been identified, including personalized training, digital twin multimodal data analysis. study not only summarizes existing achievements but also puts forward targeted suggestions trends field management practical perspective, aiming promote

Language: Английский

Citations

0
Developing Computer Vision Models for Classifying Grain Shapes of Crushed Stone DOI Creative Commons
Alexey N. Beskopylny, Evgenii M. Shcherban’, Sergey A. Stel’makh

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(6), P. 1914 - 1914

Published: March 19, 2025

In the construction industry, along with traditional approaches for visual and instrumental assessment of building materials, methods based on intelligent algorithms are increasingly appearing; in particular, machine learning neural network technologies. The utilization modern technologies enables us to enhance processes a new quality level, decreasing pace without precision losses compared methods. This research introduces novel method characterizing crushed stone grain morphology using application specially designed three-dimensional computer vision networks point data clouds. Flakiness affects strength, adhesion, location grains. So, calculating this indicator by determining planar dimensions each particle is necessary its suitability various types work. Architectures PointNet PointCloudTransformer chosen as basis classification algorithms. input were 3D images grains, shapes which divided into needle-shaped, plate-shaped, cubic classes. accuracy metric achieved during training both models was 0.86. Using algorithms, analysis via manual selection, sieve analysis, or special equipment, will reduce labor can also serve an additional source verifying materials at stages construction.

Language: Английский

Citations

0
Enhancing Construction Safety: A Computer Vision Approach for Proactive Near-Miss Events Identification DOI
Yuwen Pan, Liang Chen, Jian Zhang

et al.

ICCREM 2021, Journal Year: 2025, Volume and Issue: unknown, P. 840 - 851

Published: March 26, 2025

Language: Английский

Citations

0
AI-Driven Generative Design for Next-Generation 3D Concrete Printing in Architecture: State of the Art DOI

Musazai Mirwais,

Muhammad Adeel,

Ahmad Walid Rahmani

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 3(2), P. 225 - 232

Published: March 25, 2025

The convergence of artificial intelligence (AI) and 3D concrete printing (3DCP) heralds a paradigm shift in architectural design construction, blending computational innovation with sustainable practices. This study synthesizes the state art AI-driven generative for 3DCP, examining cutting-edge methodologies such as adversarial networks (GANs), topology optimization, reinforcement learning (RL), digital twins. These technologies collectively address longstanding challenges material efficiency, structural robustness, ecological impact by automating exploration, real-time process control, lifecycle management. integration AI 3DCP enables unprecedented geometric complexity, adaptive fabrication, smart city alignment, yet barriers scalability, regulatory frameworks, standardization persist. By critically evaluating advancements ChatGPT-aided ideation, physics-informed simulations, IoT-enabled twins, this research maps holistic framework AI-augmented 3DCP. paper underscores transformative potential redefining workflows, advocating interdisciplinary collaboration to bridge creativity, ethical governance, urban development.

Language: Английский

Citations

0