Intelligent Data Mining of Computer‐Aided Extension Residential Building Design Based on Algorithm Library

Gao, Zhendong; Zou, Guangtian

doi:10.1155/2021/6690746

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…Environmental protection [40][41][42][43][44][45][46][47][48][49][50][51][55][56][57][58] Economic development [40,42,43,[48][49][50][51][52][53][54][56][57][58]] Social justice and equity, culture [42,43,47,48,51,52,55,56,58] Governance [40,[47][48][49]52,53,59] Source: processing by authors.…”

Section: Sud Dimensionsmentioning

confidence: 99%

“…However, it is also noted that some AI solutions have a moderate potential for solving problems such as humanitarian crises [45], urban heat impact, inadequate early warning systems, limited disaster preparedness, and deforestation.…”

Section: Rq4: What Are the Outcomes Of Artificial Intelligence Use In...mentioning

confidence: 99%

“…Additionally, trust and confidence in the transformative capability of AI in the context of SUD is quite important [45]. People need to believe that change can be truly beneficial for many of us, that they can become active and engaged participants in the new urban ecosystem, and that they can make sense of the opportunities that AI offers and which can be put to good use.…”

Section: Rq4: What Are the Outcomes Of Artificial Intelligence Use In...mentioning

confidence: 99%

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A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development

Rieder

Schmuck

Țugui

2022

BDCC

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Digital transformation (or digitalization) is the process of continuous further development of digital technologies (such as smart devices, cloud services, and Big Data) that have a lasting impact on our economy and society. In this manner, digitalization is a huge driver for permanent change, even in the field of Sustainable Urban Development. In the wake of digitalization, expectations are changing, placing pressure at the societal level on the design and development of smart environments for everything that means Sustainable Urban Development. In this sense, the solution is the integration of Artificial Intelligence into Sustainable Urban Development, because technology can simplify people’s lives. The aim of this paper is to ascertain which Sustainable Urban Development dimensions are taken into account when integrating Artificial Intelligence and what results can be achieved. These questions formed the basic framework for this research article. In order to make the current state of Artificial Intelligence in Sustainable Urban Development as a snapshot visible, a systematic review of the current literature between 2012 and 2022 was conducted. The data were collected and analyzed using PRISMA. Based on the studies identified, we found a significant growth in studies, starting in 2018, and that Artificial Intelligence applications refer to the Sustainable Urban Development dimensions of environmental protection, economic development, social justice and equity, culture, and governance. The used Artificial Intelligence techniques in Sustainable Urban Development cover a broad field of Artificial Intelligence, such as Artificial Intelligence in general, Machine Learning, Deep Learning, Artificial Neuronal Networks, Operations Research, Predictive Analytics, and Data Mining. However, with the integration of Artificial Intelligence in Sustainable Urban Development, challenges are marked out. These include responsible municipal policies, awareness of data quality, privacy and data security, the formation of partnerships among stakeholders (e.g., local citizens, civil society, industry, and various levels of government), and transparency and traceability in the implementation and rollout of Artificial Intelligence. A first step was taken towards providing an overview of the possible applications of Artificial Intelligence in Sustainable Urban Development. It was clearly shown that Artificial Intelligence is also gaining ground in this sector.

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Section: Sud Dimensionsmentioning

confidence: 99%

Section: Rq4: What Are the Outcomes Of Artificial Intelligence Use In...mentioning

confidence: 99%

Section: Rq4: What Are the Outcomes Of Artificial Intelligence Use In...mentioning

confidence: 99%

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A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development

Rieder

Schmuck

Țugui

2022

BDCC

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Analysis of the Effectiveness of Generative Adversarial Technology in Intelligent Buildings in terms of Design

Wang

2024

Applied Mathematics and Nonlinear Sciences

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This paper combines the training method of generative adversarial network and the robust row layout design method of building based on CGAN, and selects pix2pix model to carry out the spatial layout design of intelligent building, to explore the actual effect of intelligent building design. Using the building layout design of a generative adversarial network, different parameters and residual block numbers are set to compare the impact of building texture generation. The intelligent building using GAN technology is selected to carry out the spatial design characterization of both Light and shadow and luminance, and the SD spatial environment evaluation factor is used to refine the discussion of the spatial design experience of intelligent buildings designed using generative adversarial technology. The Light and shadow distribution of intelligent building design is mainly presented as four types, in which the light and shadow location types of reading room, hall, rest space and exhibition hall are primarily offered as horizontal division types. In a public intelligent building, the rest area is separated into 25% of the distance and 25% of the vertical division, with an improved design balance.

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A Review on Intelligent Library Services and Systems

Asemi¹

2023

Advances in Library and Information Science

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The chapter includes a comprehensive review of relevant published literature from the past five years. Through this review, the chapter explores the use of emerging technology-based services and systems such as intelligent libraries, recommender systems, fuzzy logic, and recommender system chatbots in the field of library and information science. The aim of this review is to provide up-to-date insights and information for professionals and researchers interested in utilizing these technologies to improve library services. The chapter highlights how these technologies can enhance the user experience and resource discovery. The chapter begins by introducing the concept of intelligent libraries and the role of emerging technology-based services and systems. It then explores the use of recommender systems and fuzzy logic in intelligent libraries, citing relevant published literature and discussing the benefits they bring to users. In the end, it discusses the potential challenges and limitations of these technologies, as well as best practices for their implementation and maintenance.

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Intelligent Data Mining of Computer‐Aided Extension Residential Building Design Based on Algorithm Library

Cited by 3 publications

References 18 publications

A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development

A Scientific Perspective on Using Artificial Intelligence in Sustainable Urban Development

Analysis of the Effectiveness of Generative Adversarial Technology in Intelligent Buildings in terms of Design

A Review on Intelligent Library Services and Systems

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