Wyniki wyszukiwania dla: MACHINE LEARNING, DESIGN AUGMENTATION, DIGITALIZATION OF CREATIVE PROCESS

• Patryk Ziółkowski dr inż.

  Osoby

  Katedra Konstrukcji Inżynierskich

  Adiunkt na Politechnice Gdańskiej. Brał udział w projektach międzynarodowych, w tym projektach dla Ministerstwa Transportu stanu Alabama (2015), jest także laureatem grantu Fundacji Kościuszkowskiej na prowadzanie badań w USA, który zrealizował w 2018 roku. Ekspert w dziedzinie sztucznej inteligencji. Jego główny obszar zainteresowań badawczych stanowi zastosowanie sztucznej inteligencji w Inżynierii Lądowej. Prowadzi projekty...

• BETWEEN IDEA AND INTERPRETATION - DESIGN PROCESS AUGMENTATION

  Publikacja

  • K. Radziszewski
  • P. Świderski

  - Rok 2018

  The following paper investigates the idea of reducing the human digital intervention to a minimum during the advanced design process. Augmenting the outcome attributes beyond the designer's capabilities by computational design methods, data collection, data computing and digital fabrication, altogether imitating the human design process. The primary technical goal of the research was verification of restrictions and abilities used...

• Machine Learning Techniques in Concrete Mix Design

  Publikacja

  • P. Ziółkowski
  • M. Niedostatkiewicz

  - Materials - Rok 2019

  Concrete mix design is a complex and multistage process in which we try to find the best composition of ingredients to create good performing concrete. In contemporary literature, as well as in state-of-the-art corporate practice, there are some methods of concrete mix design, from which the most popular are methods derived from The Three Equation Method. One of the most important features of concrete is compressive strength, which...

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• Concrete mix design using machine learning

  Publikacja

  • P. Ziółkowski
  • M. Niedostatkiewicz

  - Rok 2019

  Designing a concrete mix is a process of synthesizing many components, it is not a simple process and requires extensive technical knowledge. The design process itself focuses on obtaining the required strength of concrete. Very often designing a concrete mix takes into account the need to maintain the proper water-demand and frost-resistance features. The parameters that influence the concrete class most significantly are the...

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• Process of Medical Dataset Construction for Machine Learning-Multifield Study and Guidelines

  Publikacja

  • J. Cychnerski
  • T. Dziubich

  - Rok 2021

  The acquisition of high-quality data and annotations is essential for the training of efficient machine learning algorithms, while being an expensive and time-consuming process. Although the process of data processing and training and testing of machine learning models is well studied and considered in the literature, the actual procedures of obtaining data and their annotations in collaboration with physicians are in most cases...

• Data augmentation for improving deep learning in image classification problem

  Publikacja

  • A. Mikołajczyk-Bareła
  • M. Grochowski

  - Rok 2018

  These days deep learning is the fastest-growing field in the field of Machine Learning (ML) and Deep Neural Networks (DNN). Among many of DNN structures, the Convolutional Neural Networks (CNN) are currently the main tool used for the image analysis and classification purposes. Although great achievements and perspectives, deep neural networks and accompanying learning algorithms have some relevant challenges to tackle. In this...

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• Model-Based Adaptive Machine Learning Approach in Concrete Mix Design

  Publikacja

  • P. Ziółkowski
  • M. Niedostatkiewicz
  • S. Kang

  - Materials - Rok 2021

  Concrete mix design is one of the most critical issues in concrete technology. This process aims to create a concrete mix which helps deliver concrete with desired features and quality. Contemporary requirements for concrete concern not only its structural properties, but also increasingly its production process and environmental friendliness, forcing concrete producers to use both chemically and technologically complex concrete...

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• Digitalization of High Speed Craft Design and Operation Challenges and Opportunities

  Publikacja

  • A. Dashtimanesh,
  • M. H. Ghaemi
  • Y. Wang
  • A. Karczewski
  • R. Niazmand Bilandi
  • S. Hirdaris

  - Procedia Computer Science - Rok 2022

  In recent years, global demands for safe and sustainable ships led to dramatic changes in the maritime industry. Digitalization is expected to play an important part in the future. This is supported by analysis of the autonomous ships market which shows that digitalization of large ship types such as tankers and container ships is well on track. Although to date designs of autonomous High-Speed Craft (HSC) have been developed,...

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• Machine learning approach to packaging compatibility testing in the new product development process

  Publikacja

  • N. Piotrowski

  - JOURNAL OF INTELLIGENT MANUFACTURING - Rok 2024

  The paper compares the effectiveness of selected machine learning methods as modelling tools supporting the selection of a packaging type in new product development process. The main goal of the developed model is to reduce the risk of failure in compatibility tests which are preformed to ensure safety, durability, and efficacy of the finished product for the entire period of its shelf life and consumer use. This kind of testing...

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• Machine Design 2

  Kursy Online

  • J. Łubiński

  Machine Design 2, what else?