Search results for: CONTINUAL LEARNING · REPRESENTATION LEARNING

• Machine Learning for Control Systems Security of Industrial Robots: a Post-covid-19 Overview

  Publication

  • T. Gueye
  • Y. Wang
  • M. Rehman
  • R. Mushtaq
  • A. Hassan
  • A. Al Hassan

  - Year 2022

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• The Effectiveness of Using a Pretrained Deep Learning Neural Networks for Object Classification in Underwater Video

  Publication

  • P. Szymak
  • P. Piskur
  • K. Naus

  - Remote Sensing - Year 2020

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• Likelihood of Transformation to Green Infrastructure Using Ensemble Machine Learning Techniques in Jinan, China

  Publication

  • K. Gulshad
  • Y. Wang
  • N. Li
  • J. Wang
  • Q. Yu

  - Land - Year 2022

  Full text to download in external service

• Edu Inspiracje WZiE: Active Learning, czyli o mocy aktywnego przetwarzania informacji

  Publication

  • A. Sobiechowska-Ziegert
  • K. Kubiszewska
  • A. Guzik

  - Pismo PG - Year 2023

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• Machine Learning Methods in Damage Prediction of Masonry Development Exposed to the Industrial Environment of Mines

  Publication

  • L. Chomacki
  • J. Rusek
  • L. Słowik

  - ENERGIES - Year 2022

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• Open source learning management systems at civil engineering and environmental department: TeleCAD and Moodle.

  Publication

  • A. Grabowska

  - Year 2005

  W rozdziale zaprezentowano dwa systemy zarządzania kształceniem, służące do przygotowania i prowadzenia e-kursów. Pierwszy z nich TeleCAD został opracowany w ramach projektu Leonardo da Vinci (1998-2001). Ostanie użycie systemu miało miejsce w roku akademickim 2003/2004 i był on wykorzystany w projekcie CURE (V Program Ramowy, 2003-2006). W roku 2003 dzięki wsparciu projektu Leonardo da Vinci EMDEL (2001-2005) Centrum Edukacji...

• From Data to Decision: Interpretable Machine Learning for Predicting Flood Susceptibility in Gdańsk, Poland

  Publication

  • K. Gulshad
  • A. Yaseen
  • M. Szydłowski

  - Remote Sensing - Year 2024

  Flood susceptibility prediction is complex due to the multifaceted interactions among hydrological, meteorological, and urbanisation factors, further exacerbated by climate change. This study addresses these complexities by investigating flood susceptibility in rapidly urbanising regions prone to extreme weather events, focusing on Gdańsk, Poland. Three popular ML techniques, Support Vector Machine (SVM), Random Forest (RF), and...

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• Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)

  Publication

  • D. Skrobek
  • J. Krzywanski
  • M. Sosnowski
  • A. Kulakowska
  • A. Zylka
  • K. Grabowska
  • K. Ciesielska
  • W. Nowak

  - ENERGIES - Year 2020

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• Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing

  Publication

  • K. Pastuszak
  • M. Sieczczyński
  • M. Dzięgielewska
  • R. Wolniak
  • A. Drewnowska
  • M. Korpal
  • L. Zembrzuska
  • A. Supernat
  • A. Żaczek

  - Scientific Reports - Year 2024

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• COMPARATIVE ANALYSIS OF COPING STRATEGIES WITH STRESS OF STUDENTS IN DIFFERENT LEARNING CONDITIONS DURING THE PANDEMIC

  Publication

  • A. Dyachuk
  • A. Shpakou
  • J. Bocharova
  • L. Klimatckaia
  • A. Szpakow

  - Russian Journal of Education and Psychology - Year 2022

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• Urban Food Self-Production in the Perspective of Social Learning Theory: Empowering Self-Sustainability

  Publication

  • E. Duda
  • A. Korwin-Szymanowska

  - Year 2024

  Urban food production is becoming an increasingly significant topic in the context of climate change and food security. Conducting research on this subject is becoming an essential element of urban development, deepening knowledge regarding the benefits, challenges, and potential for the development of urban agriculture as an alternative form of food production. Responding to this need, this monograph presents the results of...

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• DentalSegmentator: Robust open source deep learning-based CT and CBCT image segmentation

  Publication

  • G. Dot
  • A. Chaurasia
  • G. Dubois
  • C. Savoldelli
  • S. Haghighat
  • S. Azimian
  • A. Taramsari
  • G. Sivaramakrishnan
  • J. Issa
  • A. Dubey... and 2 others

  - JOURNAL OF DENTISTRY - Year 2024

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• Machine learning goes global: Cross-sectional return predictability in international stock markets

  Publication

  • N. Cakici
  • C. Fieberg
  • D. Metko
  • A. Zaremba

  - JOURNAL OF ECONOMIC DYNAMICS & CONTROL - Year 2023

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• Experimental Evaluation of the Agent-Based Population Learning Algorithm for the Cluster-Based Instance Selection

  Publication

  • I. Czarnowski
  • P. Jędrzejowicz

  - Year 2011

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• E-LEARNING NA POLITECHNICE GDAŃSKIEJ - HISTORIA ROZWOJU W LATACH 1995-2020

  Publication

  • A. M. Dąbrowicz-Tlałka
  • A. Grabowska

  - Year 2020

  Internet oraz kształcenie oparte na wykorzystaniu e-technologii stały się nieodłącznym elementem edukacji. Artykuł przedstawia zarys historii rozwoju e-learningu na Politechnice Gdańskiej, przykładowe rozwiązania technologiczne, elementy tworzenia struktur organizacyjnych oraz związanych z legislacją, a także wybrane projekty wykorzystujące szeroko pojęte e-technologie w edukacji akademickiej realizowanej na Uczelni

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• Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems

  Publication

  • D. Gil
  • M. Johnsson
  • H. Mora
  • J. Szymański

  - COMPLEXITY - Year 2019

  Te feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others...

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• Wireless Link Selection Methods for Maritime Communication Access Networks—A Deep Learning Approach

  Publication

  • M. Hoeft
  • K. Gierłowski
  • J. Woźniak

  - SENSORS - Year 2023

  In recent years, we have been witnessing a growing interest in the subject of communication at sea. One of the promising solutions to enable widespread access to data transmission capabilities in coastal waters is the possibility of employing an on-shore wireless access infrastructure. However, such an infrastructure is a heterogeneous one, managed by many independent operators and utilizing a number of different communication...

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• Sperm segmentation and abnormalities detection during the ICSI procedure using machine learning algorithms

  Publication

  • A. Frączek
  • G. Karwowska
  • M. Miler
  • J. Liss
  • A. Jezierska
  • M. Mazur-Milecka

  - Year 2022

  (1) About 15-20% of couples struggle with the problem of infertility. 30 to 40% of these cases are caused by abnormalities in the structure and motility of sperm. Sometimes the only possibility for such people is to use the procedure of artificial insemination. CASA systems are used to increase the efficiency of this procedure by selecting the appropriate sperm cell. (2) This paper presents an approach to the sperm classification...

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• Comparative study on total nitrogen prediction in wastewater treatment 1 plant and effect of various feature selection methods on machine learning algorithms performance

  Publication

  • F. Bagherzadeh
  • M. J. Mehrani
  • M. Basirifard
  • J. Roostaei

  - Journal of Water Process Engineering - Year 2021

  Wastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods are used in the pre-processing section for enhancing the model performance. This study aims to evaluate the effect of seven different FS methods (filter, wrapper, and embedded methods) on enhancing the prediction accuracy for total nitrogen (TN) in the WWTP...

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• Social learning and knowledge flows in cluster initiatives, In: Sanz S.C., Blanco F.P., Urzelai B. (Eds). Human and Relational Resources (pp. 44-45). the 4th International Conference on Clusters and Industrial Districts CLUSTERING, University of Valencia, Spain, May 23–24 (ISBN: 978-84-09-11926-4).

  Publication

  • M. Rozkwitalska
  • A. Lis

  - Year 2019

  Purpose – The purpose of the paper is to explore how learning manifests and knowledge flows in cluster initiatives (CIs) due to interactions undertaken by their members. The paper addresses the research question of how social learning occurs and knowledge flows in CIs. Design/methodology/approach – The qualitative study of four cluster initiatives helped to identify various symptoms of social learning and knowledge flows in...

• Sex Education: Sexuality, Society and Learning

  Journals

  ISSN: 1468-1811 , eISSN: 1472-0825

• The Journal of Adventure Education and Outdoor Learning

  Journals

  ISSN: 1472-9679 , eISSN: 1754-0402

• International Electronic Journal for Leadership in Learning

  Journals

  ISSN: 1206-9620

• Journal of Structural Learning and Intelligent Systems

  Journals

  ISSN: 1027-1015

• International Journal for Lesson and Learning Studies

  Journals

  ISSN: 2046-8253

• International Journal of Management, Knowledge and Learning

  Journals

  ISSN: 2232-5107

• International Journal of Mobile and Blended Learning

  Journals

  ISSN: 1941-8647 , eISSN: 1941-8655

• Canadian Journal for the Scholarship of Teaching and Learning

  Journals

  ISSN: 1918-2902

• International Journal of Machine Learning and Cybernetics

  Journals

  ISSN: 1868-8071 , eISSN: 1868-808X

• GIST-Education and Learning Research Journal

  Journals

  ISSN: 1692-5777

• International Journal of Information and Learning Technology

  Journals

  ISSN: 2056-4880

• Bulletin of the Technical Committee on Learning Technology

  Journals

  ISSN: 2306-0212

• Studies in Second Language Learning and Teaching

  Journals

  ISSN: 2083-5205 , eISSN: 2084-1965

• International Journal of Game-Based Learning

  Journals

  ISSN: 2155-6849 , eISSN: 2155-6857

• BMJ Simulation & Technology Enhanced Learning

  Journals

  ISSN: 2056-6697

• Journal of University Teaching and Learning Practice

  Journals

  ISSN: 1449-9789

• International Journal of Emerging Technologies in Learning

  Journals

  ISSN: 1863-0383

• Journal of E-Learning and Knowledge Society

  Journals

  ISSN: 1826-6223 , eISSN: 1971-8829

• International Journal of Learning and Intellectual Capital

  Journals

  ISSN: 1479-4853

• International Journal of Technology Enhanced Learning

  Journals

  ISSN: 1753-5255 , eISSN: 1753-5263

• International Journal of Research in E-learning

  Journals

  ISSN: 2451-2583 , eISSN: 2543-6155

• Interdisciplinary Journal of Problem-Based Learning

  Journals

  ISSN: 1541-5015

• International Journal of Work-Integrated Learning

  Journals

  ISSN: 2538-1032

• International Journal of Machine Learning and Computing

  Journals

  eISSN: 2010-3700

• Studies in Self-Access Learning Journal

  Journals

  ISSN: 2185-3762

• Visual Inquiry-Learning & Teaching Art

  Journals

  ISSN: 2045-5879 , eISSN: 2045-5887

• International Journal of Early Childhood Learning

  Journals

  ISSN: 2327-7939

• Per Linguam-A Journal of Language Learning

  Journals

  ISSN: 0259-2312 , eISSN: 2224-0012

• Teaching & Learning Inquiry-The ISSOTL Journal

  Journals

  ISSN: 2167-4779 , eISSN: 2167-4787

• International Journal of Mobile Learning and Organisation

  Journals

  ISSN: 1746-725X