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Search results for: GENERATIVE METHODS

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Search results for: GENERATIVE METHODS

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Search results for: GENERATIVE METHODS

  • Generative Process Planning with Reasoning based on Geometrical Product Specification

    The focus of this paper is on computer aided process planning for parts manufacture in systems of definite process capabilities, involving the use of multi-axis machining centers for parts shaping and grinding machines for finishing. It presents in particular a decision making scheme for setup determination as a part of generative process planning. The planning procedurę consists of two stages. The first stage is associated with...

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  • Applying Generative Modelling Tools to Explore Architectural Forms

    The digital generative methods open up new areas for exploration of formal and tectonic features, accentuate form’s ability to emerge and perform. They allow for automatic generation of variations of solutions, and digital production of “difficult” components of architectural forms using CNC technology.The paper deals with contemporary architectural explorations of complex , curvilinear surfaces in the context of generative...

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  • Leveraging Generative AI Tools for UX Design in Lean and Agile Projects

    Publication

    - Year 2024

    Recent advancements in Generative AI (GenAI) open new opportunities to improve User Experience (UX) practitioners’ efficiency in their projects. Due to intensive teamwork caused by time pressure and readiness for rapid changes, Lean and Agile project management seems particularly predestined for easy adoption of GenAI-supported UX design methods. However, precipitate and spontaneous leveraging of GenAI tools to UX design bears...

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  • Looking through the past: better knowledge retention for generative replay in continual learning

    Publication
    • V. Khan
    • S. Cygert
    • K. Deja
    • T. Trzciński
    • B. Twardowski

    - IEEE Access - Year 2024

    In this work, we improve the generative replay in a continual learning setting to perform well on challenging scenarios. Because of the growing complexity of continual learning tasks, it is becoming more popular, to apply the generative replay technique in the feature space instead of image space. Nevertheless, such an approach does not come without limitations. In particular, we notice the degradation of the continually trained...

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  • A Novel Method for the Deblurring of Photogrammetric Images Using Conditional Generative Adversarial Networks

    Publication

    The visual data acquisition from small unmanned aerial vehicles (UAVs) may encounter a situation in which blur appears on the images. Image blurring caused by camera motion during exposure significantly impacts the images interpretation quality and consequently the quality of photogrammetric products. On blurred images, it is difficult to visually locate ground control points, and the number of identified feature points decreases...

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