Neural Computing and Applications, Год журнала: 2025, Номер unknown
Опубликована: Май 30, 2025
Язык: Английский
Automation in Construction, Год журнала: 2023, Номер 157, С. 105187 - 105187
Опубликована: Ноя. 11, 2023
Язык: Английский
Процитировано
69
Journal of Road Engineering, Год журнала: 2023, Номер 3(4), С. 370 - 468
Опубликована: Дек. 1, 2023
As a vital and integral component of transportation infrastructure, pavement has direct tangible impact on socio-economic sustainability. In recent years, an influx groundbreaking state-of-the-art materials, structures, equipment, detection technologies related to road engineering have continually progressively emerged, reshaping the landscape systems. There is pressing growing need for timely summarization current research status clear identification future directions in these advanced evolving technologies. Therefore, Journal Road Engineering undertaken significant initiative introducing comprehensive review paper with overarching theme "advanced technologies". This extensive insightful meticulously gathers synthesizes findings from 39 distinguished scholars, all whom are affiliated 19 renowned universities or institutions specializing diverse multidimensional field highway engineering. It covers state anticipates development four major interconnected domains engineering: structures performance evaluation, construction equipment technology, assessment
Язык: Английский
Процитировано
34
East African Journal of Engineering, Год журнала: 2023, Номер 6(1), С. 104 - 112
Опубликована: Июнь 28, 2023
Artificial Intelligence, machine learning, and the Internet of Things (IoT) are changing way tasks accomplished. CHATGPT is a well-known conversational artificial intelligence (AI) system based on generative pre-trained transformer (GPT) architecture, launched by OpenAI. trained through reinforcement learning human feedback. There advantages to use in Civil engineering, including but not limited design planning: structural analysis simulation, code compliance regulations construction management, knowledge repository information retrieval, education, research. The limitation bias datasets used training, requirement sufficient input information, as well risk transparency issues, negative consequences if generating inaccurate content. other language models civil engineering requires careful consideration ensure bypassing expert consultation particular cases. Deep Learning would have positive impact rather than replacing expertise improving infrastructure development world solving challenges facing mankind
Язык: Английский
Процитировано
24
Journal of Industrial Information Integration, Год журнала: 2024, Номер unknown, С. 100694 - 100694
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
16
Artificial Intelligence Review, Год журнала: 2024, Номер 57(8)
Опубликована: Июль 5, 2024
Abstract Significant uncertainties can be found in the modelling of geotechnical materials. This attributed to complex behaviour soils and rocks amidst construction processes. Over past decades, field has increasingly embraced application artificial intelligence methodologies, thus recognising their suitability forecasting non-linear relationships intrinsic review offers a critical evaluation AI methodologies incorporated computational mechanics for engineering. The analysis categorises four pivotal areas: physical properties, mechanical constitutive models, other characteristics relevant Among various analysed, ANNs stand out as most commonly used strategy, while methods such SVMs, LSTMs, CNNs also see significant level application. widely algorithms are Artificial Neural Networks (ANN), Random Forest (RF), Support Vector Machines (SVM), representing 35%, 19%, 17% respectively. extensive is domain accounting 59%, followed by applications at 16%. efficacy intrinsically linked type datasets employed, selected model input. study outlines future research directions emphasising need integrate physically guided adaptive learning mechanisms enhance reliability adaptability addressing multi-scale multi-physics coupled problems geotechnics.
Язык: Английский
Процитировано
11
Iranian Journal of Science and Technology Transactions of Civil Engineering, Год журнала: 2025, Номер unknown
Опубликована: Фев. 25, 2025
Язык: Английский
Процитировано
1
Smart Construction and Sustainable Cities, Год журнала: 2023, Номер 1(1)
Опубликована: Сен. 12, 2023
Abstract The frequent occurrence of building collapse accidents not only causes significant casualties, but also jeopardizes local economies. This paper adopts a combinatory assessment approach to showcase the lessons learned from recent in Changsha, China. proposed blends system thinking and strategic environmental (SEA) model. It delineates provide key leverage points for safety management. results show that primary are poor construction quality, illegal alterations, lack regulations enforcement. management rural housing Hunan Province achieved total score 4 out 30. was determined prevention measures abating these deleterious phenomena involve ensuring quality assurance/quality control, efficiently assessing risk, timely performing structural health monitoring. study is bound enhance understanding foster achievement sustainable cities communities.
Язык: Английский
Процитировано
19
Computer-Aided Civil and Infrastructure Engineering, Год журнала: 2025, Номер unknown
Опубликована: Фев. 26, 2025
Abstract Multivariate engineering formulas are the foundation of various standards worldwide for constructing complex systems. Traditional formula discovery methods suffer from low efficiency, curse dimensionality, and physical interpretability. To address these limitations, this study proposes a knowledge‐based method efficiently generating multivariate directly data. The consists four components: (1) deep generative model considering dimensional homogeneity, (2) physics‐adaptive normalization multiple variables with different units, (3) feature merging algorithm grounded in dimensionality theory, (4) machine learning‐based data segmentation piecewise formulas. Experiments on two ground‐truth datasets demonstrate that our proposed improves accuracy generated by 35.6% (measured mean absolute error), compared to Eureqa program. Additionally, it enhances mechanistic interpretability results, both emerging physics‐informed neural network‐based equation methods. successfully capture implicit mechanisms experimental data, consistent theoretical analysis. Overall, holds great promise improving efficiency discovering interpretable generalizable formulas, facilitating transformation new techniques testing applications.
Язык: Английский
Процитировано
1
Scientific Reports, Год журнала: 2024, Номер 14(1)
Опубликована: Сен. 3, 2024
Язык: Английский
Процитировано
6
Water, Год журнала: 2024, Номер 16(22), С. 3328 - 3328
Опубликована: Ноя. 19, 2024
Assessing diverse parameters like water quality, quantity, and occurrence of hydrological extremes their management is crucial to perform efficient resource (WRM). A successful WRM strategy requires a three-pronged approach: monitoring historical data, predicting future trends, taking controlling measures manage risks ensure sustainability. Artificial intelligence (AI) techniques leverage these knowledge fields single theme. This review article focuses on the potential AI in two specific areas: supply-side demand-side measures. It includes investigation applications leak detection infrastructure maintenance, demand forecasting supply optimization, treatment desalination, quality pollution control, parameter calibration optimization applications, flood drought predictions, decision support systems. Finally, an overview selection appropriate suggested. The nature adoption investigated using Gartner hype cycle curve indicated that learning application has advanced different stages maturity, big data reach plateau productivity. also delineates pathways expedite integration AI-driven solutions harness transformative capabilities for protection global resources.
Язык: Английский
Процитировано
6