Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	cf2009_342
id	cf2009_342
authors	Lin, Chieh-Jen
year	2009
title	Smart topological geometry: An interactive tool for coordination of spatial topology and geometry
source	T. Tidafi and T. Dorta (eds) Joining Languages, Cultures and Visions: CAADFutures 2009, PUM, 2009, pp. 342-352
summary	This paper describes a prototype of an interactive tool named Smart Topology Geometry (STG) for coordination between spatial topology and geometry in the early design phase. STG focuses on the manipulations of virtual spaces and can manipulate the topological relations among them by instantly modifying the geometric properties of spaces so as to comply with the topological relation defined by the user.
keywords	Spatial allocation, spatial topology, interactive manipulation and design representation
series	CAAD Futures
email
last changed	2009/06/08 20:53

_id	caadria2011_051
id	caadria2011_051
authors	Lin, Chieh-Jen
year	2011
title	Topology pattern mining: A visual approach for representing and retrieving design patterns of spatial topology in a case library
doi	https://doi.org/10.52842/conf.caadria.2011.535
source	Proceedings of the 16th International Conference on Computer Aided Architectural Design Research in Asia / The University of Newcastle, Australia 27-29 April 2011, pp. 535-544
summary	This paper aims to apply the clustering analysis algorithm to analyze and classify the pattern of spatial topology of floor plans within a case library named “Open Case Study (OCS)”. Based on the results of classifications, this paper proposes a visual interface named “Topology Pattern Mining (TPM)” to present and rank searching results in response to user’s queries. The purpose of TPM is to extend the capacity of OCS for representing implicit knowledge of spatial topology. TPM can retrieve and classify design patterns of spatial topology, and thereby helps users to learn the design knowledge within relevant cases.
keywords	Case-based design; case library; knowledge representation; spatial topology; data mining
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2014_506
id	caadria2014_506
authors	Lin, Chieh-Jen
year	2014
title	Architectural Knowledge Modeling
doi	https://doi.org/10.52842/conf.caadria.2014.925
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 925–926
series	CAADRIA
type	poster
email
last changed	2022/06/07 07:59

_id	caadria2008_40_session4b_328
id	caadria2008_40_session4b_328
authors	Lin, Chieh-Jen; Mao-Lin Chiu
year	2008
title	Open Ontology: A Self-Organizing Tool for Knowledge Acquisition in a Case Library
doi	https://doi.org/10.52842/conf.caadria.2008.328
source	CAADRIA 2008 [Proceedings of the 13th International Conference on Computer Aided Architectural Design Research in Asia] Chiang Mai (Thailand) 9-12 April 2008, pp. 328-334
summary	This paper is aimed to establish a sufficiently formalized, expandable metadata authoring tool of a case library based on ontology methodologies of AI. This tool cannot only self-organize facts of cases’ features, but can also guide users to arrange those facts into a formalized structure to facilitate design reasoning. Then knowledge experts, such as design instructors or project managers, can apply this tool to author and organize metadata of cases’ features in order to build knowledge templates for special situations. Beginners, such as students or assistants, can apply those templates to indicate and analyze facts of collected cases’ features and acquire essential knowledge in solving problems. Finally, through easily recognized semantic relations of metadata, facts of cases’ features can be self-organized, and the system can apply data mining techniques to detect and discover hidden knowledge patterns among facts of cases’ features.
keywords	Case Library; Design Knowledge; Knowledge Representation; Semantic Ontology; and Data Mining
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2003_a2-3
id	caadria2003_a2-3
authors	Lin, Chien-Cheng
year	2003
title	Seeing Moving Seeing Model for Computer Media
doi	https://doi.org/10.52842/conf.caadria.2003.199
source	CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 199-208
summary	This paper discusses several kinds of the cognitive seeing and moving actions for designers in traditional and computer media. Experiments are conducted for the protocol analysis, and a coding scheme of seeing and moving actions are applied in this research. The results of this study reveal the relationships between seeing, moving, and concept-getting actions in these two medias. Base on this study, we can figure out the characteristic of seeing and moving actions and make an improvement for design education and computer-aided-design systems.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	02c5
authors	Lin, Feng Tyan and Wang, Hung Hsiang
year	1997
title	A Case Study of Cooperative Design Using Video Conference
doi	https://doi.org/10.52842/conf.caadria.1997.153
source	CAADRIA ‘97 [Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8] Taiwan 17-19 April 1997, pp. 153-162
summary	In this case study we observed an experimental cooperative design project: a parking lot design using a video conference system. Twelve graduate students of planning and design were divided into two teams for landscape design and traffic planning. They used ProShareTM, a computer-supported video conference system, to co-design at two separate rooms. We used video equipment to record this conference for a detailed analysis. Some experiences on using this system are described. The results indicate the relationships within the work organization, physical workplace and cooperative design. We argued that this workplace becomes more important, even though much research has put emphasis on the cyberspace in cooperative design. The team members’ tacit protocol has importance, but it does not guarantee any resolution of conflicts. This cooperative design is not only a social process, but also a logic of iterative verifications and falsifications. It is dangerous to construct a theory of computer-supported cooperative design simply based on this case study; however, such an observation could be the first step towards the theory.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	2470
authors	Lin, Feng Tyen and Cheng, Hong Sheng
year	1997
title	Urban Block Logic
doi	https://doi.org/10.52842/conf.caadria.1997.389
source	CAADRIA ‘97 [Proceedings of the Second Conference on Computer Aided Architectural Design Research in Asia / ISBN 957-575-057-8] Taiwan 17-19 April 1997, pp. 389-396
summary	Urban block logic is an explicit method to deal with space rule. It is written in formal logic, and benefit from logic theories. The characters of urban block formulate these rules. Rules could be changed by meta-rules. Urban block logic is a new way to realize our environment.
series	CAADRIA
last changed	2022/06/07 07:59

_id	ecaade2022_167
id	ecaade2022_167
authors	Lin, Han, Tsai, Tsung-Han, Chen, Ting-Chia, Sheng, Yu-Ting and Wang, Shih-Yuan
year	2022
title	Robotic Additive Manufacturing of Glass Structures
doi	https://doi.org/10.52842/conf.ecaade.2022.2.379
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 2, Ghent, 13-16 September 2022, pp. 379–388
summary	This paper proposes a glass 3D printing system that can be used at room temperature. The system employs high-frequency electromagnetic induction heaters and stone-ground carbon tubes to heat glass raw materials. In this study, a digital control system was fully utilised to control the extrusion of borosilicate glass materials. Through a calculated design and communication between a six-axis robot arm and an external computer, the robot’s printing path and speed and the feeding state of the glass printing machine can be automatically controlled for different geometric shapes and velocities. This study examines digital manufacturing processes and material properties to investigate the novel glass printing of textures and free-form surface modelling.
keywords	Glass, Induction Heating, Rapid Prototype, 3D Printing, Robotic Fabrication
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2003_c3-3
id	caadria2003_c3-3
authors	Lin, Meng-Yian and Kang, Jian
year	2003
title	Adding Instant Acoustic Response to Caad Animation: A Feasibility Study
doi	https://doi.org/10.52842/conf.caadria.2003.475
source	CAADRIA 2003 [Proceedings of the 8th International Conference on Computer Aided Architectural Design Research in Asia / ISBN 974-9584-13-9] Bangkok Thailand 18-20 October 2003, pp. 475-486
summary	Although in recent years presentation using CAAD animation has played an important role in architectural design, it is still weak in terms of acoustic environment simulation. Current acoustic simulation software are mainly for accurately calculating various acoustic indices and the calculation is normally not real-time. This research is therefore to explore the possibilities of adding instant acoustic responses to presentations using CAAD animation.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2013_114
id	ecaade2013_114
authors	Lin, Shih-Hsin Eve and Gerber, David
year	2013
title	Evolutionary Energy Performance Feedback for Design (EEPFD)
doi	https://doi.org/10.52842/conf.ecaade.2013.2.175
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 175-184
summary	In order to understand the applicability of multidisciplinary design optimization (MDO) to the building design process, a MDO framework, titled Evolutionary Energy Performance Feedback for Design (EEPFD), along with the prototype tool, H.D.S. Beagle, were developed to support designers with the incorporation of partially automated performance feedback during the early stages of design. This paper presents 2 experimental case studies, one from the design profession and the other from a design studio, that evaluate the applicability and impact of EEPFD on the early stage design process. Through these two case studies two different interaction and automation approaches for applying EEPFD are explored as part of the framework validation. Observed benefits, challenges and suggestions of EEPFD’s implementation are then presented and discussed.
wos	WOS:000340643600017
keywords	Conceptual energy performance feedback; design decision support; performance-based design; multidisciplinary design optimization; genetic algorithm.
series	eCAADe
email
last changed	2022/06/07 07:59

_id	caadria2024_107
id	caadria2024_107
authors	Lin, Shuiyang and van Ameijde, Jeroen
year	2024
title	Leveraging Social Media and Natural Language Processing for Understanding Cultural Perception in Urban Renewal: Insights From Nantou Walled City
doi	https://doi.org/10.52842/conf.caadria.2024.2.109
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 109–118
summary	The preservation of cultural heritage during urban renewal processes is an issue that is often subservient to economic urban development goals. While physical structures of historic importance might be preserved or adapted, the social and cultural significance of historic urban places is often lost during the comprehensive redevelopment of historic neighbourhoods. The absence of adequate measurements and procedures to assess the cultural and social values of historic districts remains a key concern in urban renewal practice. Recent advances in Big Data analysis of social media posts through Machine Learning-based Natural Language Processing (NLP) tools offer ways to quantify the social and cultural perception of historic urban districts and guide culturally sensitive strategies for revitalization. This research presents a novel workflow to analyse text data from social media platforms. Referencing recently developed methods for multidimensional text mining and sentiment analysis, it obtains online text data by identifying the keywords on the Weibo platform and applies BERTopic to construct a quantitative assessment of cultural perceptions by identifying the topics and sentiments about a historic district. Sentiment analysis tools were used to measure emotional polarity in posts to understand social media users' subjective views towards various urban places. Using the case study of Nantou Walled City in Shenzhen, a comparative examination of social media engagement before and after district renewal sheds light on the interplay between social media participation and historic district characteristics. The method presented in this study enables future studies and practices in urban planning and cultural heritage conservation which adopt a comprehensive consideration of resident and community perspectives in urban renewal, to achieve more holistic and sustainable urban development. 08641080
keywords	Natural language processing, social media data analysis, cultural heritage, sentiment analysis, BERTopic
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	caadria2012_041
id	caadria2012_041
authors	Lin, Yifeng and Shanshan Shen
year	2012
title	Designing a performance-oriented house envelope based on a parametric approach: An integrated method
doi	https://doi.org/10.52842/conf.caadria.2012.507
source	Proceedings of the 17th International Conference on Computer Aided Architectural Design Research in Asia / Chennai 25-28 April 2012, pp. 507–516
summary	Conventional house envelope design methods often generate few alternatives related to meeting living comfort and building environmental requirements. However, these design methods are increasingly facing difficulties in following the dynamic climate change and advanced building performance conditions in the early stage of the design process. This paper attempts to introduce an integrated method for designing a performance-orientated house envelope in New Zealand which adopts the parametric approach. This approach can guide and assist designers to make a well-informed decision, which can satisfy both aesthetics and energy performance, and gain more efficiency for the design process in the early stage of housing performance simulation.
keywords	Performance-oriented house envelope design; integrated parametric design; dynamic approach
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2024_438
id	caadria2024_438
authors	Lin, Ying and Ye, Fei
year	2024
title	Architectural Generative Model Evaluation Methods: Image Quality Assessment Metrics and Expert-Based Approach
doi	https://doi.org/10.52842/conf.caadria.2024.1.079
source	Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 1, pp. 79–88
summary	The feasibility of using machine learning methods to generative architectural design solutions has been widely recognized as an effective in enhancing innovation, diversity, and efficiency of solutions. However, in generative design methods, the accuracy and quality of design results often rely on empirical evaluation of expert, which is challenging to evaluate and quantify by unified standards. This paper proposes a comprehensive method for evaluating model performance in architectural design tasks. The evaluation is based on computational criteria (i.e., FID, IS, SIMM indicators) and expert system criteria. The computational metrics will measure the distance, diversity, and similarity between the feature vectors of the real image and the generated image. In contrast, the expert criteria will measure the accuracy, intentionality, and rationality of the layout scheme. This study applies this framework to evaluate three widely used generative models in architectural design: GANs, Diffusion Models, and VAE. The framework also guides the optimization of generative models in architectural applications and assists architects in validating generative outcomes with more efficient workflows.
keywords	Artificial Intelligence, Architectural, Generative Design Methods, Model Evaluation
series	CAADRIA
email
last changed	2024/11/17 22:05

_id	1409
authors	Lin, Ying-Tzu and Chiu, Mao-Lin
year	2001
title	Digital cinematheque:Designing the virtual environment with issues of the context and atmoshere
doi	https://doi.org/10.52842/conf.caadria.2001.051
source	CAADRIA 2001 [Proceedings of the Sixth Conference on Computer Aided Architectural Design Research in Asia / ISBN 1-86487-096-6] Sydney 19-21 April 2001, pp. 51-61
summary	The rise of virtual environments (VEs) is made possible due to the recent rapid development of the Internet and virtual reality (VR) technologies. The purpose of this study is to explore the possibilities of the virtual environment design by examining the characteristics of VE, and comparing its differences from physical environments. In the illustration of a design project "digital cinematheque", the context and atmosphere of virtual environments are thoroughly studied, and the feasibilities and directions of developments of virtual environments are subsequently enlightened with the proposed design concepts and related issues.
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaade2022_324
id	ecaade2022_324
authors	Lin, Yu-Ting and Hsu, Pei-Hsien
year	2022
title	Dynamic Inflatable Structures and Digital Fabrication Process
doi	https://doi.org/10.52842/conf.ecaade.2022.1.311
source	Pak, B, Wurzer, G and Stouffs, R (eds.), Co-creating the Future: Inclusion in and through Design - Proceedings of the 40th Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2022) - Volume 1, Ghent, 13-16 September 2022, pp. 311–320
summary	Inflatable structures made of flat film materials have an advantage of low cost, lightweight and rapid deployment, but the variation of their forms is relatively limited, and it is a challenge to produce pneumatic deformations. This paper proposes a designing and manufacturing process of inflatable structures which are made of flat film materials and are able to perform dynamic movements. The process includes steps in which a target 3D surface is produced through programmed 2D paths heat-sealed on flat films of different thickness, leading to a structure composed of air chambers. A parametric modelling procedure and associated principles are developed for the relationship between the forms of a flat-film-based inflatable structure and the heat sealing patterns on the film. A system of double-layer air chambers was designed to control the direction of bending movements. In addition, the form variation of a designed inflatable structure can be achieved by a parametric design process described in this paper.
keywords	Pneumatic Structural System, Inflatable Structure, Digital Fabrication, Design Tool, Kinetic Structure
series	eCAADe
email
last changed	2024/04/22 07:10

_id	caadria2018_018
id	caadria2018_018
authors	Lin, Yuming and Huang, Weixin
year	2018
title	Social Behavior Analysis in Innovation Incubator Based on Wi-Fi Data - A Case Study on Yan Jing Lane Community
doi	https://doi.org/10.52842/conf.caadria.2018.2.197
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 197-206
summary	Innovation incubator is an emerging kind of office space which focuses on promoting social interaction in the space. From the perspective of environmental behavior, the complex relationship between a particular space form and the social interactions is well worth exploring. Based on Wi-Fi positioning data, this paper examined the spatial and temporal behavior in innovation incubators. Using the interdisciplinary social networks analysis, this paper further analyzed the social interactions in this space, mining out social structures such as gathering and community, and analyzing the relationship between these structures and spaces. The result shows that human behavior in innovation incubators has some interesting characteristics, and the social structures are closely linked with the functional area of innovation incubator. This paper provides a new perspective and introduces interdisciplinary approaches to study the social behaviors in a particular space form, which has great potential in future research.
keywords	environmental behavior study; social behavior analysis; innovation incubator; Wi-Fi IPS; social network
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2019_449
id	caadria2019_449
authors	Lin, Yuqiong, Yao, Jiawei, Huang, Chenyu and Yuan, Philip F.
year	2019
title	The Future of Environmental Performance Architectural Design Based on Human-Computer Interaction - Prediction Generation Based on Physical Wind Tunnel and Neural Network Algorithms
doi	https://doi.org/10.52842/conf.caadria.2019.2.633
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 633-642
summary	As the medium of the environment, a building's environment performance-based generative design cannot be separated from intelligent data processing. Sustainable building design should seek an optimized form of environmental performance through a complete set of intelligent induction, autonomous analysis and feedback systems. This paper analyzed the trends in architectural design development in the era of algorithms and data and the status quo of building generative design based on environmental performance, as well as highlighting the importance of physical experiments. Furthermore, a design method for self-generating environmental performance of urban high-rise buildings by applying artificial intelligence neural network algorithms to a customized physical wind tunnel is proposed, which mainly includes a morphology parameter control and environmental data acquisition system, code translation of environmental evaluation rules and architecture of a neural network algorithm model. The design-oriented intelligent prediction can be generated directly from the target environmental requirements to the architectural forms.
keywords	Physical wind tunnel; neural network algorithms; dynamic model; environmental performance; building morphology self-generation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_210
id	caadria2018_210
authors	Lin, Yuqiong, Zheng, Jingyun, Yao, Jiawei and Yuan, Philip F.
year	2018
title	Research on Physical Wind Tunnel and Dynamic Model Based Building Morphology Generation Method
doi	https://doi.org/10.52842/conf.caadria.2018.2.165
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 165-174
summary	The change of the building morphology directly affects the surrounding environment, while the evaluation of these environment data becomes the main basis for the genetic iterations of the building morphology. Indeed, due to the complexity of the outdoor natural ventilation, multiple factors in the site could be the main reasons for the change of air flow. Thus, the architect is suggested to take the wind environment as the main morphology generation factor in the early stage of the building design. Based on the research results of 2017 DigitalFUTURE Wind Tunnel Visualization Workshop, a novel self-form-finding method in design infancy has been proposed. This method uses Arduino to carry out the dynamic design of the building model, which can not only connect the sensor to monitor the wind environment data, but also contribute the building model to correlate with the wind environment data in real time. The integration of the Arduino platform and the physical wind tunnel can create the possibility of continuous and real-time physical changes, data collection and wind environment simulation, using quantitative environmental factors to control building morphology, and finally achieve the harmony among the building, environment and human.
keywords	Physical wind tunnel; dynamic model; building morphology generation; environmental performance design; wind environment visualization
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2019_025
id	cf2019_025
authors	Lin, Yuqiong; Chenyu Huang ,Yuqiong Lin and Philip F. Yuan
year	2019
title	High-rise Building Group Morphology Generation Approach based on Wind Environmental Performance
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, p. 185
summary	In the urbanization process, high-rise is favored and popularized? while results to the high-density urban space which aggravated the deterioration of urban wind environment. Using quantifiable environmental factors to control the building, is promoting a more meaningful group formation of the sustainable high-rise buildings. Thus, taking wind performance into account in high-rise design infancy is essential. According to the achievement of CAADRIA2018 “SELF-FORM-FINDING WIND TUNNEL TO ENVIRONMENTAL-PERFORMANCE URBAN AND BUILDING DESIGN” workshop, a preliminary set related to the environmental performance urban morphology generation system and method was constructed. In this study, various of high-rise building forms that might be conducive to urban ventilation were selected, such as “hollow-out”, “twisting”, “façade retracting” and “liftup”, to design the Dynamic Model System with multi-dimensional motion.
keywords	High-rise, group morphology, wind tunnel, dynamic models, environmental performance
series	CAAD Futures
email
last changed	2019/07/29 14:15

_id	caadria2022_120
id	caadria2022_120
authors	Lin, Yuxin
year	2022
title	Rhetoric, Writing, and Anexact Architecture: The Experiment of Natural Language Processing (NLP) and Computer Vision (CV) in Architectural Design
doi	https://doi.org/10.52842/conf.caadria.2022.1.343
source	Jeroen van Ameijde, Nicole Gardner, Kyung Hoon Hyun, Dan Luo, Urvi Sheth (eds.), POST-CARBON - Proceedings of the 27th CAADRIA Conference, Sydney, 9-15 April 2022, pp. 343-352
summary	This paper presents a novel language-driven and artificial intelligence-based architectural design method. This new method demonstrates the ability of neural networks to integrate the language of form through written texts and has the potential to interpret the texts into sustainable architecture under the topic of the coexistence between technologies and humans. The research merges natural language processing, computer vision, and human-machine interaction into a machine learning-to-design workflow. This article encompasses the following topics: 1) an experiment of rethinking writing in architecture through anexact form as rhetoric; 2) an integrative machine learning design method incorporating Generative Pre-trained Transformer 2 model and Attentional Generative Adversarial Networks for sustainable architectural production with unique spatial feeling; 3) a human-machine interaction framework for model generation and detailed design. The whole process is from inexact to exact, then finally anexact, and the key result is a proof-of-concept project: Anexact Building, a mixed-use building that promotes sustainability and multifunctionality under the theme of post-carbon. This paper is of value to the discipline since it applies current and up-to-date digital tools research into a practical project.
keywords	Rhetoric and writing, Natural Language Processing, Computer Vision, GPT-2, AttnGAN, Human-computer Interaction, Architectural Design, Post-carbon, SDG3, SDG11
series	CAADRIA
email
last changed	2022/07/22 07:34

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