Generative AI: A systematic review using topic modelling techniques

Data and Information Management, Journal Year: 2024, Volume and Issue: 8(2), P. 100066 - 100066

Published: Feb. 15, 2024

Generative artificial intelligence (GAI) is a rapidly growing field with wide range of applications. In this paper, thorough examination the research landscape in GAI presented, encompassing comprehensive overview prevailing themes and topics within field. The study analyzes corpus 1319 records from Scopus spanning 1985 to 2023 comprises journal articles, books, book chapters, conference papers, selected working papers. analysis revealed seven distinct clusters research: image processing content analysis, generation, emerging use cases, engineering, cognitive inference planning, data privacy security, Pre-Trained Transformer (GPT) academic paper discusses findings identifies some key challenges opportunities research. concludes by calling for further GAI, particularly areas explainability, robustness, cross-modal multi-modal interactive co-creation. also highlights importance addressing security responsible GAI.

Language: Английский

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Assessment and analysis of the effects of implementing building information modelling as a lean management tool in construction management

International Journal of Building Pathology and Adaptation, Journal Year: 2024, Volume and Issue: unknown

Published: June 18, 2024

Purpose The purpose of this research paper is to investigate and evaluate the impacts utilising Building Information Modelling (BIM) as a lean management tool in Bangladesh's construction field. explores how adopting BIM can improve expedite number processes building projects, which will ultimately increase project success, cost-effectiveness efficiency. Design/methodology/approach A comprehensive survey was conducted deployment affected outcomes. This involved structured amongst professionals case study on real Bangladesh assess effects using tool. data collected from 112 respondents were analysed statistically qualitatively identify effect Additionally, several software tools, including Revit, Navisworks, Design Review 360, used compare conventional BIM-based methods. Findings findings demonstrate that practices improves quality safety Bangladesh. “Improving construction” (RII = 0.732) achieved highest rank questionnaire survey. In addition, represents industry benefit management. implementation shorten design process by over 50% save up 1.5 weeks minimising idling time. By applying BIM, it possible avoid price rise roughly 2.5% delay about 11.9% original contract period. Practical implications significance results goes beyond direct advantages project's achievements. successful integration sector suggests transformative potential for industry. enhanced coordination decreased errors point future where projects achieve higher levels precision reliability. improved efficiency observed implies more sustainable cost-effective region. Originality/value provides unique perspective impact It includes adoption tool, gathering real-world experiences practical implementing projects. comparing methods with approaches software, contributes value sector.

Language: Английский

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Advancing Sustainability Through Structural Optimization: Innovations in Material Efficiency and Environmental Impact Reduction

Lecture notes in civil engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1611 - 1623

Published: Jan. 1, 2025

Language: Английский

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Adopting circular economy in construction: a review

Frontiers in Built Environment, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 20, 2025

Global development is integral to construction activities that consume enormous amounts of natural resources, which a considerable part wasted during the and demolition phases. Only small such waste recovered recycled, rest goes landfills dumpsites, containing high volume recoverable reusable materials components, causing environmental hazards depleting resources. This occurs due practice linear economic model in construction. By contrast, circular economy (CE) approach can potentially offer an effective solution for this issue, through its long-lasting standardized design with reduced resource input; extensive reuse recycling products components. However, CE not being widely practiced. As such, study was designed investigate why practiced, what needs be done wider adoption. beginning, systematic literature review extracted 32 motivators, 35 challenges 31 strategies. Further analysis clustered these three groups factors into eight focus areas of: legal regulatory framework; knowledge, education training; infrastructure, technology innovation; awareness promotion support; collaboration information sharing; standardization; business positive finance economics. Finally, conceptual framework presented, adoption sustainability assessment reporting, The outcomes are expected provide guidance indication policy decision-makers on

Language: Английский

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BIM-based approach for analyzing carbon emissions of residential buildings in India

Innovative Infrastructure Solutions, Journal Year: 2025, Volume and Issue: 10(4)

Published: March 24, 2025

Language: Английский

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Advances in sustainable additive manufacturing: a systematic review for construction industry to mitigate greenhouse gas emissions

Frontiers in Built Environment, Journal Year: 2025, Volume and Issue: 11

Published: March 31, 2025

Background and Objective Additive Manufacturing (AM), driven by digital 3D design data, is a transformative technology that holds significant potential to revolutionize the construction industry. Its untapped capacity optimize material utilization, enhance flexibility, substantially reduce greenhouse gas (GHG) emissions emplaces it as key enabler sustainable construction. Although being adopted in biomedical, aerospace, automotive industries, AM remains underexplored This study systematically evaluates role of advancing construction, particularly its impact on reducing GHG emissions. Materials methods Systematic research was conducted using resourceful methodologies. These are include PRISMA meta-analysis, Cochrane Collaboration, EPPI-Reviewer 4, VOSviewer, Databases with Search Engines. The tools were employed synthesize, organize, deduce relevant materials literature, facilitating comparative analyses traditional (conventional) subtractive manufacturing (TSM). systematic review essentially concentrates metrics such process efficiency, cost-effectiveness, production rates, sustainability. Furthermore, diverse techniques, materials, concrete, composites, polymers, evaluated for their mitigate carbon Results Quantitatively, results connote can better energy efficiency up 60%, waste 90%, cushioned lower 80%, while achieving labour cost savings 50%–60%, sustainability 75% specific standards. enables complex geometrical designs unfeasible conventional methods, improving both structural mechanical performance, Conclusion expounds environmental, social economic benefits AM, providing highly valuable insights further incorporate contemporary viable alternative solutions, supplements TSM. innovations deduced be well positioned strategic driver eco-friendly built environment, supporting global efforts toward neutrality urban developments.

Language: Английский

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A novel BIM maturity model integrating Industry 4.0 and sustainability: a design science research approach

Engineering Construction & Architectural Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 22, 2025

Purpose This study develops an innovative building information modelling (BIM) maturity model integrating Industry 4.0 (I4.0) and sustainability principles. It addresses the need to consider sustainable practices guide digital transformation in construction. Design/methodology/approach The research employs design science (DSR), combining literature analysis with practical development through iterative process. includes semi-structured interviews focus groups eight international experts, ensuring theoretical rigour applicability. considers implications of disruption on human interaction BIM I4.0 technologies. Findings identifies six key dimensions (processes, technology, people, organization/strategy, policy sustainability) levels for assessing implementation contexts. A systematic evaluation framework highlights critical improvement areas, including training needs strategies fight resistance change. Additionally, 42 success factors aligned dynamic capabilities cumulative capability theories are identified. Originality/value paper presents a novel uniquely comprehensive approach technological advancements practices, filling gap current assessments. BIM’s future disruptive industry, addressing challenges human-technology providing roadmap evolving organizational

Language: Английский

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Evaluating Biophilic Design strategies in Immersive Virtual Indoor Environments: a systematic review on the Implications for buildings occupants

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111127 - 111127

Published: Oct. 1, 2024

Language: Английский

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Hybrid Intelligence Framework for Optimizing Shear Capacity of Lightweight FRP-Reinforced Concrete Beams

International Journal of Lightweight Materials and Manufacture, Journal Year: 2024, Volume and Issue: 8(1), P. 14 - 27

Published: July 11, 2024

This study rigorously assesses the shear capacity of Fiber Reinforced Polymer (FRP) reinforced concrete (RC) beams as a lightweight material alternative, scrutinizing efficacy Eurocode and ACI design codes. Leveraging dataset 260 experimental FRP-RC beam cases, two distinct Artificial Neural Network (ANN) models were developed using Levenberg-Marquardt algorithm. Beams with without stirrups considered, parameters including width (), depth length compressive strength FRP modulus elasticity (, ) reinforcement ratios ). Multi-objective optimization was deployed to integrate Genetic Algorithms (GA) fmincon optimize for maximizing capacity, . Sensitivity analysis allowed quantify influence each parameter, revealing that significantly affect , sensitivity scores 0.39 0.35, respectively. The process, highlighted by 3D scatter plot, dynamically illustrated trade-offs among key ), giving insights into complex interplay in design. hybrid intelligence reached superior predictive accuracy over traditional codes, achieving values 0.89. Notably, stirrups, model predictions closely matched data, lower average ratio (1.02) compared (1.65) (1.58). Principal Component Analysis (PCA) unraveled variable relationships, enhancing understanding structural behavior beams. Integrating artificial intelligence, advanced techniques, rigorous statistical analyses coins comprehensive framework beams, offering enhanced insightful perspectives future optimization.

Language: Английский

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Key decision factors of professional stakeholders (architects, engineers, constructors) when deciding for sustainable construction

Frontiers in Built Environment, Journal Year: 2024, Volume and Issue: 10

Published: July 2, 2024

The built environment and the construction industry account for a significant share of global harmful emissions. Sustainable appears to be an effective strategy achieve more sustainable society, although it is still not used enough. It crucial understand what main decision factors those deciding about building practices are. Professional stakeholders such as architects, engineers, constructors, are ones advising consumers construction. An understanding their needed, in order increase implementation In this study we provide evidence key professional Slovenia when practices. By conducting online survey (questionnaire) identified analyzed drivers barriers professionals making decisions solutions. With statistical analysis found out that included mostly already had previous experiences working with They familiar concepts. most important were connected factor occupant health, energy-efficiency buildings, while biggest barrier related higher cost lack awareness. concerned climate change attitudes towards affecting Respondent provided many comments, clearly indicating simple definition efforts should done raise awareness Results contributing valuable information stakeholders, policymakers other ecosystem.

Language: Английский

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