Search results for: SALT LEACHING

• Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures

  Publication

  • F. Kazemi
  • N. Asgarkhani
  • R. Jankowski

  - SOIL DYNAMICS AND EARTHQUAKE ENGINEERING - Year 2023

  Many studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...

  Full text to download in external service

• Forewarned Is Forearmed: Machine Learning Algorithms for the Prediction of Catheter-Induced Coronary and Aortic Injuries

  Publication

  • B. Klaudel
  • J. Klaudel

  - International Journal of Environmental Research and Public Health - Year 2022

  Catheter-induced dissections (CID) of coronary arteries and/or the aorta are among the most dangerous complications of percutaneous coronary procedures, yet the data on their risk factors are anecdotal. Logistic regression and five more advanced machine learning techniques were applied to determine the most significant predictors of dissection. Model performance comparison and feature importance ranking were evaluated. We identified...

  Full text available to download

• Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning

  Publication

  • P. Mahouti
  • A. Belen
  • O. Tari
  • M. Belen
  • S. Karahan
  • S. Kozieł

  - Electronics - Year 2023

  In this work, a computationally efficient method based on data driven surrogate models is pro-posed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna acts as a as module that simultaneously pre-filters unwanted sig-nals, and enhances the desired signals at the operating frequency. However, due to a typically large number of design variables of FSS unit elements,...

  Full text available to download

• Analysis of the Capability of Deep Learning Algorithms for EEG-based Brain-Computer Interface Implementation

  Publication

  • K. Ledwosiński
  • P. Czapla
  • T. Kocejko
  • J. Kang-Hyun

  - Year 2023

  Machine learning models have received significant attention for their exceptional performance in classifying electroencephalography (EEG) data. They have proven to be highly effective in extracting intricate patterns and features from the raw signal data, thereby contributing to their success in EEG classification tasks. In this study, we explore the possibilities of utilizing contemporary machine learning algorithms in decoding...

  Full text to download in external service

• Searching for the primary metabolic alterations of polycystic ovary syndrome by application of the untargeted metabolomics approach

  Publication

  • A. Rajska
  • M. Buszewska-Forajta
  • S. Macioszek
  • R. Wawrzyniak
  • P. Wityk
  • A. Berger
  • A. Kowalewska
  • D. Rachon
  • M. Markuszewski

  - JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS - Year 2023

  Despite a large number of studies, the pathogenesis of polycystic ovary syndrome (PCOS) still remains unexplained. In light of ambiguous observations reported in metabolomics, there is a need to carry out studies focusing on confirming the discriminating power of the proposed metabolomics biomarkers. Our research aimed to perform a validation study of metabolites detected in our previous study from serum samples, on the new set...

  Full text available to download

• Road traffic can be predicted by machine learning equally effectively as by complex microscopic model

  Publication

  • A. Sroczyński
  • A. Czyżewski

  - Scientific Reports - Year 2023

  Since high-quality real data acquired from selected road sections are not always available, a traffic control solution can use data from software traffic simulators working offline. The results show that in contrast to microscopic traffic simulation, the algorithms employing neural networks can work in real-time, so they can be used, among others, to determine the speed displayed on variable message road signs. This paper describes...

  Full text available to download

• Automated detection of pronunciation errors in non-native English speech employing deep learning

  Publication

  • D. Korzekwa

  - Year 2023

  Despite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...

  Full text available to download

• Optimizing Medical Personnel Speech Recognition Models Using Speech Synthesis and Reinforcement Learning

  Publication

  • A. Czyżewski

  - Journal of the Acoustical Society of America - Year 2023

  Text-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons; TTS can help expand the data set. Speech can be synthesized by mimicking different accents, dialects, and speaking styles that may occur in a medical language. Reinforcement Learning (RL), in the...

  Full text available to download

• An Adaptive Network Model for a Double Bias Perspective on Learning from Mistakes within Organizations

  Publication

  • M. Hosseini
  • J. Treur
  • W. Kucharska

  - Year 2024

  Although making mistakes is a crucial part of learning, it is still often being avoided in companies as it is considered as a shameful incident. This goes hand in hand with a mindset of a boss who dominantly believes that mistakes usually have negative consequences and therefore avoids them by only accepting simple tasks. Thus, there is no mechanism to learn from mistakes. Employees working for and being influenced by such a boss...

  Full text to download in external service

• 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...

  Full text available to download

• Transformational Leadership and Acceptance of Mistakes as a Source of Learning: Poland-USA Cross-Country Study

  Publication

  • W. Kucharska
  • M. Kucharski
  • H. U. Rehman

  - Year 2022

  This study explores the influence of transformational leadership on internal innovativeness mediated by mistakes acceptance, including country and industry as factors to be considered and gender and risk-taking attitude as moderators. General findings, primarily based on the US samples (healthcare, construction, and IT industry), confirmed that transformational leadership and internal innovativeness are mediated by mistakes acceptance...

  Full text available to download

• 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...

  Full text available to download

• 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...

  Full text to download in external service

• The Effect of Full-Cell Impregnation of Pine Wood (Pinus sylvestris L.) on Changes in Electrical Resistance and on the Accuracy of Moisture Content Measurement Using Resistance Meters

  Publication

  • A. Suchta
  • J. Barański
  • K. Orłowski
  • K. Szymanowski

  - BIORESOURCES - Year 2018

  The impact of the full-cell impregnation of pine wood was investigated with respect to changes in electrical resistance and the accuracy of moisture content measurement. This study compared the resistance of impregnated and untreated pine timber harvested from the northern part of Poland (Pomeranian region). The wood was impregnated by the vacuum-pressure method. The preservative (TANALITH E 3475) and coloring (TANATONE 3950) agents...

  Full text available to download

• Leszek Ziemczonek dr

  People

  University education 1973-1978 – Nicolaus Copernicus University in Toruń, University of Gdańsk in Gdańsk, Mathematical Physics, M. Sc. 1979 – Diploma of Postgraduate Studies, Pedagogics 1989 – Institute of Physics, Polish Academy of Sciences in Warsaw, Theoretical Physics, Ph. D. 2010-2012 – Diploma of Postgraduate Studies, Mathematics Training: ·         09.1983 – Trieste (Italy) – International Centre for Theoretical Physics...

• Application of Shuffled Frog-Leaping Algorithm for Optimal Software Project Scheduling and Staffing

  Publication

  • A. Ameen
  • H. Mojeed
  • A. Bolariwa
  • A. Balogun
  • M. Mabayoje
  • F. Usman-Hamzah
  • M. Abdulraheem
  • H. A. Mojeed

  - Year 2021

  Full text to download in external service

• Enhancing diaphragmatic defect repair and regeneration: How biomaterials leading the way to progress?

  Publication

  • M. Farahani
  • P. Gnatowski
  • R. Najafloo
  • T. Navaei
  • E. Piłat
  • J. Kucińska‐Lipka
  • M. Saeb
  • M. Mozafari

  - BMEMat - Year 2024

  Full text to download in external service

• Macroeconomics matter: Leading economic indicators and the cross-section of global stock returns

  Publication

  • H. Long
  • A. Zaremba
  • W. Zhou
  • E. Bouri

  - JOURNAL OF FINANCIAL MARKETS - Year 2022

  Full text to download in external service

• Leading with Understanding: Cultivating Positive Relationships between Neurotypical Leaders and Neurodivergent Employees

  Publication

  • J. Szulc

  - Employee Relations - Year 2024

  Neurodivergent employees have atypical needs that require distinctive leadership approaches. In this study, the specific nature of a relationship between neurodivergent employees and their neurotypical leaders is explored through the lens of the Leader-Member-Exchange (LMX) theory. This two-phased qualitative study builds on 12 semi-structured interviews with neurodivergent employees and an unstructured focus group with 15 individuals...

  Full text available to download

• On the use of leading safety indicators in maritime and their feasibility for Maritime Autonomous Surface Ships

  Publication

  • K. Wróbel
  • M. Gil
  • P. Krata
  • K. Olszewski
  • J. Montewka

  - Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability - Year 2023

  Although the safety of prospective Maritime Autonomous Surface Ships will largely depend on their ability to detect potential hazards and react to them, the contemporary scientific literature lacks the analysis of how to achieve this. This could be achieved through an application of leading safety indicators. The aim of the performed study was to identify the research directions of leading safety indicators in three safety-critical...

  Full text to download in external service

• Anita Maria Dąbrowicz-Tlałka dr

  People

  Mathematics Center

  Anita Dąbrowicz-Tlałka graduated from the Faculty of Mathematics and Physics at the University of Gdańsk with an outstanding grade, having written her thesis in the field of geometric topology. She concurrently obtained a diploma in Postgraduate Studies in the Basics of Computer Science at the University of Gdańsk. In 2001 she received a Ph.D. degree in mathematical studies at the Poznań University of Technology after defending...

• Orzeczenie techniczne dotyczące określenia możliwości posadowienia nowych zbiorników i urządzeń w Sali Mokrej budynku Akwarium Morskiego, Gdynia al. Jana Pawła II 1

  Publication

  • A. Kapuściński

  - Year 2012

  W opracowaniu wykonano analizę statyczno - wytrzymałościową elementów nośnych konstrukcji budynku (stropy, ściany) w aspekcie możliwości posadowienia nowych zbiorników.

• Wood Moisture-Content Measurement Accuracy of Impregnated and Nonimpregnated Wood

  Publication

  • J. Barański
  • A. Suchta
  • S. Barańska
  • I. Klement
  • T. Vilkovská
  • P. Vilkovský

  - SENSORS - Year 2021

  The influence of the impregnation process of pine wood (Pinus sylvestris L.) samples on the electrical resistance changes and the moisture-content measurement accuracy is presented in this paper. In this study, the resistances of impregnated and nonimpregnated green pine timber harvested from northern Poland were compared. An impregnation method based on a vacuum-pressure chamber was used. Copper salts were applied as the impregnated...

  Full text available to download

• 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

• 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

• International Journal of Mentoring and Coaching in Education

  Journals

  ISSN: 2046-6854

• Bulletin of the Technical Committee on Learning Technology

  Journals

  ISSN: 2306-0212

• International Journal of Game-Based Learning

  Journals

  ISSN: 2155-6849 , eISSN: 2155-6857

• BMJ Simulation & Technology Enhanced Learning

  Journals

  ISSN: 2056-6697

• 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

• International Journal of Early Childhood Learning

  Journals

  ISSN: 2327-7939

• Per Linguam-A Journal of Language Learning

  Journals

  ISSN: 0259-2312 , eISSN: 2224-0012

• International Journal of Mobile Learning and Organisation

  Journals

  ISSN: 1746-725X

• International Journal of Learning in Higher Education

  Journals

  ISSN: 2327-7955