Intelligence Techniques Applied in Infrastructure, Engineering and Construction
A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 15555
Special Issue Editors
Interests: data-driven maintenance in civil and infrastructure engineering; ground improvement; sensor-enabled geosynthetics; transportation geotechnics, subgrade dynamics; soil stabilization
Special Issues, Collections and Topics in MDPI journals
Interests: deep learning in civil and infrastructure engineering; transportation geotechnics; subgrade dynamics; ground improvement; frozen ground engineering; soil stabilization
Interests: traffic geotechnical engineering; subgrade composite structure design; intelligent construction of subgrade; long-term performance prediction of subgrade; subgrade risk assessment and management
Special Issue Information
Dear Colleagues,
In an era where intelligent techniques are increasingly pivotal, their integration into infrastructure, engineering, and construction represents a groundbreaking shift towards more innovative, efficient, and sustainable approaches. This Special Issue focuses on the transformative role of artificial intelligence, machine learning, predictive analytics, and smart construction techniques within these sectors. By emphasizing the synergy between advanced technologies and traditional practices, we seek to highlight how these tools are redefining the paradigms of infrastructure development and management.
We invite contributions that delve into the application of these intelligent techniques across a broad spectrum, including green transportation solutions, intelligent transportation systems, and the enhancement of infrastructure durability and robustness. Papers exploring big data applications in transportation, risk assessment, and management strategies, as well as energy optimization in the context of infrastructure projects, are particularly welcome.
This Special Issue aims to showcase interdisciplinary research that bridges the gap between emerging technologies and conventional infrastructure methodologies. By highlighting innovative applications and theoretical progress, this Special Issue aspires to contribute to the advancement of intelligent techniques in creating more resilient, efficient, and sustainable infrastructure systems.
We look forward to receiving your insightful contributions to this important and timely topic.
Dr. Kaiwen Liu
Dr. Tengfei Wang
Dr. Xiaoning Zhang
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- artificial intelligence
- machine learning
- predictive analytics
- smart construction techniques
- green transportation solutions
- intelligent transportation systems
- infrastructure durability and robustness
- big data in transportation
- risk assessment and management
- energy optimization
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