Wyniki wyszukiwania dla: artificial%20neural%20networks

• Artificial Intelligence

  Kursy Online

  • J. Dembski
  • M. Smiatacz

• Artificial intelligence

  Kursy Online

  • J. Dembski
  • M. Smiatacz

• Ireneusz Czarnowski Prof.

  Osoby

  IRENEUSZ CZARNOWSKI is a graduate of the Faculty of Electrical Engineering at Gdynia Maritime University. He gained a doctoral degree in the field of computer science at Poznan University of Technology and a postdoctoral degree in the field of computer science at Wroclaw University of Science and Technology. Since 1998 is associated with Gdynia Maritime University, currently is a professor of computer science in the Department...

• Olgun Aydin dr

  Osoby

  Katedra Statystyki i Ekonometrii

  Olgun Aydin finished his PhD by publishing a thesis about Deep Neural Networks. He works as a Principal Machine Learning Engineer in Nike, and works as Assistant Professor in Gdansk University of Technology in Poland. Dr. Aydin is part of editorial board of "Journal of Artificial Intelligence and Data Science" Dr. Aydin served as Vice-Chairman of Why R? Foundation and is member of Polish Artificial Intelligence Society. Olgun is...

• L23_24 Artificial Intelligence in Healthcare

  Kursy Online

  • J. Rumiński

• Environmental degradation of titanium alloy in artificial saliva

  Publikacja

  • A. Zieliński
  • Ł. Zborowski - Weychman

  - Advances in Materials Science - Rok 2012

  The titanium and its alloys are potentially prone to hydrogen embrittlement, including those proposed for dental implants. The research has been aimed to assess a susceptibility to environment-enhanced degradation of the Ti-13Zr-13Nb alloy in artificial saliva with or without hydrofluoric acid, subject or not to cathodic polarisation. The results have shown that even if artificial saliva is safe environment, both cathodic polarization...

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• Ship Resistance Prediction with Artificial Neural Networks

  Publikacja

  • K. Grabowska
  • P. Szczuko

  - Rok 2015

  The paper is dedicated to a new method of ship’s resistance prediction using Artificial Neural Network (ANN). In the initial stage selected ships parameters are prepared to be used as a training and validation sets. Next step is to verify several network structures and to determine parameters with the highest influence on the result resistance. Finally, other parameters expected to impact the resistance are proposed. The research utilizes...

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• Artificial Intelligence Aided Architectural Design

  Publikacja

  • J. Cudzik
  • K. Radziszewski

  - Rok 2018

  Tools and methods used by architects always had an impact on the way building were designed. With the change in design methods and new approaches towards creation process, they became more than ever before crucial elements of the creation process. The automation of architects work has started with computational functions that were introduced to traditional computer-aided design tools. Nowadays architects tend to use specified tools...

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• Peroxymonosulfate-assisted photocatalytic degradation of artificial sweeteners in water

  Publikacja

  • J. Smoliński
  • A. F. Borzyszkowska
  • P. Kubica
  • A. Zielińska-Jurek

  - Chemical and Process Engineering-Inżynieria Chemiczna i Procesowa - Rok 2023

  In the present study, peroxymonosulfate (PMS) activation was proposed for efficient photocatalytic degradation of aspartame, acesulfame, saccharin, and cyclamate - artificial sweeteners frequently present in wastewaters and surface waters worldwide. The TiO2 nanosheets with exposed {0 0 1} facets were synthesised using the fluorine-free lyophilisation technique as a green concept for the synthesis and used for the photodegradation...

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• Emerging strategies for enhancing detection of explosives by artificial olfaction

  Publikacja

  • W. Tomasz
  • J. Gębicki

  - MICROCHEMICAL JOURNAL - Rok 2021

  Explosives detection systems need to be able to reliably detect a wide range of explosive materials and their vapours. The continued development and improvement of artificial olfaction techniques, including electronic nose (EN), remains important to overcome existing challenges and meet requirements posed by new improvements in the field of explosives. There is an increasingly popular trend aimed at improvement of fundamental metrological...

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