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    Attribute-Sentiment-Guided Summarization of User Opinions From Online Reviews 

    Source: Journal of Mechanical Design:;2022:;volume( 145 ):;issue: 004:;page 41402-1
    Author(s): Han, Yi; Nanda, Gaurav; Moghaddam, Mohsen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Eliciting informative user opinions from online reviews is a key success factor for innovative product design and development. The unstructured, noisy, and verbose nature of user reviews, however, often complicate large-scale ...
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    DDE-GAN: Integrating a Data-Driven Design Evaluator Into Generative Adversarial Networks for Desirable and Diverse Concept Generation 

    Source: Journal of Mechanical Design:;2023:;volume( 145 ):;issue: 004:;page 41407-1
    Author(s): Yuan, Chenxi; Marion, Tucker; Moghaddam, Mohsen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Generative adversarial networks (GANs) have shown remarkable success in various generative design tasks, from topology optimization to material design, and shape parametrization. However, most generative design approaches ...
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    Leveraging Task Modularity in Reinforcement Learning for Adaptable Industry 4.0 Automation 

    Source: Journal of Mechanical Design:;2021:;volume( 143 ):;issue: 007:;page 071701-1
    Author(s): Chen, Qiliang; Heydari, Babak; Moghaddam, Mohsen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The vision of Industry 4.0 is to materialize the notion of a lot-size of one through enhanced adaptability and resilience of manufacturing and logistics operations to dynamic changes or deviations on the shop floor. This ...
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    Design Knowledge as Attention Emphasizer in Large Language Model-Based Sentiment Analysis 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 025 ):;issue: 002:;page 21007-1
    Author(s): Han, Yi; Moghaddam, Mohsen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Aspect-based sentiment analysis (ABSA) enables a systematic identification of user opinions on particular aspects, thus improving the idea creation process in the initial stages of a product/service design. Large language ...
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    Eliciting Attribute-Level User Needs From Online Reviews With Deep Language Models and Information Extraction 

    Source: Journal of Mechanical Design:;2020:;volume( 143 ):;issue: 006:;page 061403-1
    Author(s): Han, Yi; Moghaddam, Mohsen
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Eliciting user needs for individual components and features of a product or a service on a large scale is a key requirement for innovative design. Synthesizing data as an initial discovery phase of a design process is ...
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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