Artificial intelligence for deconstruction: Current state, challenges, and opportunities

被引:3
|
作者
Balogun, Habeeb [1 ]
Alaka, Hafiz [1 ]
Demir, Eren [2 ]
Egwim, Christian Nnaemeka [1 ]
Olu-Ajayi, Razak [1 ]
Sulaimon, Ismail [1 ]
Oseghale, Raphael [1 ]
机构
[1] Univ Hertfordshire, Big Data Technol & Innovat Lab, Hatfield, England
[2] Univ Hertfordshire, Business Analyt & Stat Grp, Business Sch, Hatfield, England
关键词
Artificial intelligence; Deconstruction; Sustainability; Challenges; Opportunities; FAILURE PREDICTION; DAMAGE PREDICTION; CIRCULAR ECONOMY; BIG DATA; CONSTRUCTION; MODEL; PERFORMANCE; BUILDINGS; BUSINESS; JOURNALS;
D O I
10.1016/j.autcon.2024.105641
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Artificial intelligence and its subfields, such as machine learning, robotics, optimisation, knowledge-based systems, reality capture and extended reality, have brought remarkable advancements and transformative changes to various industries, including the building deconstruction industry. Acknowledging AI's benefits for deconstruction, this paper aims to investigate AI applications within this domain. A systematic review of existing literature focused on AI applications for planning, implementation and post-implementation activities within the context of deconstruction was carried out. Furthermore, the challenges and opportunities of AI for deconstruction activities were identified and presented in this paper. By offering insights into AI's application for key deconstruction activities, this paper paves the way for realising AI's potential benefits for this sector.
引用
收藏
页数:15
相关论文
共 50 条
  • [1] Artificial Intelligence in Hematology: Current Challenges and Opportunities
    Nathan Radakovich
    Matthew Nagy
    Aziz Nazha
    Current Hematologic Malignancy Reports, 2020, 15 : 203 - 210
  • [2] Artificial Intelligence in Hematology: Current Challenges and Opportunities
    Radakovich, Nathan
    Nagy, Matthew
    Nazha, Aziz
    CURRENT HEMATOLOGIC MALIGNANCY REPORTS, 2020, 15 (03) : 203 - 210
  • [3] Artificial intelligence in gynecology surgery: Current status, challenges, and future opportunities
    Dou, Qi
    Nyangoh-Timoh, Krystel
    Jannin, Pierre
    Shen, Yang
    CHINESE MEDICAL JOURNAL, 2025, 138 (06) : 631 - 633
  • [4] Artificial intelligence in insanity evaluation. Potential opportunities and current challenges
    Scarpazza, Cristina
    Zangrossi, Andrea
    INTERNATIONAL JOURNAL OF LAW AND PSYCHIATRY, 2025, 100
  • [5] Artificial Intelligence in Radiology: Opportunities and Challenges
    Flory, Marta N.
    Napel, Sandy
    Tsai, Emily B.
    SEMINARS IN ULTRASOUND CT AND MRI, 2024, 45 (02) : 152 - 160
  • [6] Opportunities and Challenges with Artificial Intelligence in Genomics
    Kurant, Danielle E.
    CLINICS IN LABORATORY MEDICINE, 2023, 43 (01) : 87 - 97
  • [7] Opportunities and challenges of artificial intelligence in healthcare
    Iliashenko, Oksana
    Bikkulova, Zilia
    Dubgorn, Alissa
    INTERNATIONAL SCIENCE CONFERENCE SPBWOSCE-2018: BUSINESS TECHNOLOGIES FOR SUSTAINABLE URBAN DEVELOPMENT, 2019, 110
  • [8] Artificial intelligence for education: challenges and opportunities
    Bolano-Garcia, Matilde
    PRAXIS-COLOMBIA, 2024, 20 (01): : 8 - 12
  • [9] Challenges and Opportunities in Cytopathology Artificial Intelligence
    Vandehaar, Meredith A.
    Al-Asi, Hussien
    Doganay, Fatih
    Yilmaz, Ibrahim
    Alazab, Heba
    Xiao, Yao
    Balan, Jagadheshwar
    Dangott, Bryan J.
    Nassar, Aziza
    Reynolds, Jordan P.
    Akkus, Zeynettin
    BIOENGINEERING-BASEL, 2025, 12 (02):
  • [10] Opportunities and Challenges for Artificial Intelligence in India
    Kalyanakrishnan, Shivaram
    Panicker, Rahul Alex
    Natarajan, Sarayu
    Rao, Shreya
    PROCEEDINGS OF THE 2018 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY (AIES'18), 2018, : 164 - 170