Wyniki wyszukiwania dla: SALT LEACHING

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

  Publikacja

  • I. Czarnowski
  • P. Jędrzejowicz

  - Rok 2011

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• A new method for searching optimal path on a raster plane including cost of direction changes

  Publikacja

  • R. Szłapczyński

  - Rok 2005

  Artykuł przedstawia nowy algorytm znajdowania optymalnych tras na siatkach rastrowych. Szczegółowo opisano zastosowane struktury danych, dzięki który algorytm ma liniową złoŻoność obliczeniową. Zamieszczono również propozycje możliwych zastosowań.

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

  Publikacja

  • A. Grabowska

  - Rok 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...

• Perspektywy wykorzystania technologii internetowych typu E-learning w dydaktyce szkół wyższych.

  Publikacja

  • A. Gwoździńska
  • J. Kaczmarek

  - Prace naukowe Politechniki Radomskiej, Elektryka - Rok 2002

  Artykuł dotyczy nauczania przez Internet na poziomie uniwersyteckim. Zaprezentowany został model wirtualnego uniwersytetu, który obejmuje materiały dydaktyczne, komunikację, egzaminy i organizację. Artykuł koncentruje się na technicznych zagadnieniach. Przeanalizowano także wpływ wykorzystania technologii E-learning na różne aspekty życia wyższej uczelni.

• Fast Machine-Learning-Enabled Size Reduction of Microwave Components Using Response Features

  Publikacja

  • S. Kozieł
  • A. Pietrenko-Dąbrowska

  - Scientific Reports - Rok 2024

  Achieving compact size has emerged as a key consideration in modern microwave design. While structural miniaturization can be accomplished through judicious circuit architecture selection, precise parameter tuning is equally vital to minimize physical dimensions while meeting stringent performance requirements for electrical characteristics. Due to the intricate nature of compact structures, global optimization is recommended,...

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• Analyzing the relationship between sound, color, and emotion based on subjective and machine-learning approaches

  Publikacja

  • J. Jankowska
  • M. Połom
  • M. Jankowski
  • O. Kozłowska
  • A. Łabich
  • E. Skiba
  • P. Spierewka
  • P. Śliwiński
  • B. Kostek

  - Rok 2024

  The aim of the research is to analyze the relationship between sound, color, and emotion. For this purpose, a survey application was prepared, enabling the assignment of a color to a given speaker’s/singer’s voice recordings. Subjective tests were then conducted, enabling the respondents to assign colors to voice/singing samples. In addition, a database of voice/singing recordings of people speaking in a natural way and with expressed...

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• User -friendly E-learning Platform: a Case Study of a Design Thinking Approach Use

  Publikacja

  • S. Ostrowski
  • R. Rolczyński
  • J. Szustakiewicz
  • I. Garnik

  - Rok 2015

  E-learning systems are very popular means to support the teaching process today. These systems are mainly used by universities as well as by commercial training centres. We analysed several popular e-learning platforms used in Polish universities and find them very unfriendly for the users. For this reason, the authors began the work on the creation of a new system that would be not only useful, but also usable for students, teachers...

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• Feature Reduction Using Similarity Measure in Object Detector Learning with Haar-like Features

  Publikacja

  • J. Dembski

  - Rok 2016

  This paper presents two methods of training complexity reduction by additional selection of features to check in object detector training task by AdaBoost training algorithm. In the first method, the features with weak performance at first weak classifier building process are reduced based on a list of features sorted by minimum weighted error. In the second method the feature similarity measures are used to throw away that features...

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• WEB-CAM AS A MEANS OF INFORMATION ABOUT EMOTIONAL ATTEMPT OF STUDENTS IN THE PROCESS OF DISTANT LEARNING

  Publikacja

  • M. Błażek
  • A. Janowski
  • M. Kazmierczak
  • M. Przyborski
  • J. Szulwic

  - Rok 2014

  New methods in education become more popular nowadays. Distant learning is a good example when teacher and student meet in virtual environment. Because interaction in this virtual world might be complicated it seems necessary to assure as much methods of conforming that student is still engaged in the process of learning as it is possible. We would like to present assumption that by means of web-cam we will be able to track facial...

• Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection

  Publikacja

  • A. G. Akintola
  • A. O. Balogun
  • H. A. Mojeed
  • F. Usman-Hamza
  • S. A. Salihu
  • K. S. Adewole
  • G. B. Balogun
  • P. O. Sadiku

  - International Journal of Interactive Mobile Technologies - Rok 2022

  Due to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for detecting malware...

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• Reinforcement Learning Algorithm and FDTD-based Simulation Applied to Schroeder Diffuser Design Optimization

  Publikacja

  • A. Kurowski
  • B. Kostek

  - IEEE Access - Rok 2021

  The aim of this paper is to propose a novel approach to the algorithmic design of Schroeder acoustic diffusers employing a deep learning optimization algorithm and a fitness function based on a computer simulation of the propagation of acoustic waves. The deep learning method employed for the research is a deep policy gradient algorithm. It is used as a tool for carrying out a sequential optimization process the goal of which is...

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• An integrated e-learning services management system providing HD videoconferencing and CAA services

  Publikacja

  • K. Gierłowski
  • K. Nowicki
  • W. Pieklik
  • P. Pawałowski

  - Rok 2012

  In this paper we present a novel e-learning services management system, designed to provide highly modifiable platform for various e-learning tools, able to fulfill its function in any network connectivity conditions (including no connectivity scenario). The system can scale from very simple setup (adequate for servicing a single exercise) to a large, distributed solution fit to support an enterprise. Strictly modular architecture...

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

  Publikacja

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

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

  Publikacja

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

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

  Publikacja

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

  - Land - Rok 2022

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• 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

  Publikacja

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

  - BIORESOURCES - Rok 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...

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

  Publikacja

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

  - Rok 2021

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

  Publikacja

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

  - Proceedings of the Institution of Mechanical Engineers Part O-Journal of Risk and Reliability - Rok 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...

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

  Publikacja

  • J. Szulc

  - Employee Relations - Rok 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...

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

  Publikacja

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

  - BMEMat - Rok 2024

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

  Publikacja

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

  - JOURNAL OF FINANCIAL MARKETS - Rok 2022

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

  Publikacja

  • A. Kapuściński

  - Rok 2012

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

• Anita Maria Dąbrowicz-Tlałka dr

  Osoby

  Centrum Matematyki

  Uzyskała, z wynikiem bardzo dobrym, tytuł magistra na kierunku matematyka na Wydziale Matematyki Uniwersytetu Gdańskiego. Praca magisterska pt. „Zbiory swojskie i dzikie w R3” była z  dziedziny topologia geometryczna. Równolegle ukończyła na Uniwersytecie Gdańskim „Podyplomowe Studium Podstaw Informatyki”. W 2001 roku uzyskała na Politechnice Poznańskiej tytuł doktora nauk matematycznych. Praca doktorska pt. „Iteracje monotoniczne...

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

  Publikacja

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

  - SENSORS - Rok 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...

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• Justyna Szostak dr inż.

  Osoby

  Politechnika Gdańska, Instytut Fizyki i Informatyki Stosowanej

  I Gdańsk University of Technology: Chair of the Rector’s Internationalization Committee (October 2020 - Present) Erasmus + Coordinator for students and staff members, Faculty of Applied Physics and Mathematics (Mar 2017 - Present) Dean's Proxy for Internationalization, Faculty of Applied Physics and Mathematics (October 2020 - Present) Coordinator of the International Relations Office of the Faculty of Applied Physics and...

• Sex Education: Sexuality, Society and Learning

  Czasopisma

  ISSN: 1468-1811 , eISSN: 1472-0825

• The Journal of Adventure Education and Outdoor Learning

  Czasopisma

  ISSN: 1472-9679 , eISSN: 1754-0402

• International Electronic Journal for Leadership in Learning

  Czasopisma

  ISSN: 1206-9620

• Journal of Structural Learning and Intelligent Systems

  Czasopisma

  ISSN: 1027-1015

• International Journal for Lesson and Learning Studies

  Czasopisma

  ISSN: 2046-8253

• International Journal of Management, Knowledge and Learning

  Czasopisma

  ISSN: 2232-5107

• International Journal of Mobile and Blended Learning

  Czasopisma

  ISSN: 1941-8647 , eISSN: 1941-8655

• International Journal of Machine Learning and Cybernetics

  Czasopisma

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

• GIST-Education and Learning Research Journal

  Czasopisma

  ISSN: 1692-5777

• International Journal of Information and Learning Technology

  Czasopisma

  ISSN: 2056-4880

• International Journal of Mentoring and Coaching in Education

  Czasopisma

  ISSN: 2046-6854

• Bulletin of the Technical Committee on Learning Technology

  Czasopisma

  ISSN: 2306-0212

• International Journal of Game-Based Learning

  Czasopisma

  ISSN: 2155-6849 , eISSN: 2155-6857

• BMJ Simulation & Technology Enhanced Learning

  Czasopisma

  ISSN: 2056-6697

• International Journal of Emerging Technologies in Learning

  Czasopisma

  ISSN: 1863-0383

• Journal of E-Learning and Knowledge Society

  Czasopisma

  ISSN: 1826-6223 , eISSN: 1971-8829

• International Journal of Learning and Intellectual Capital

  Czasopisma

  ISSN: 1479-4853

• International Journal of Technology Enhanced Learning

  Czasopisma

  ISSN: 1753-5255 , eISSN: 1753-5263

• International Journal of Research in E-learning

  Czasopisma

  ISSN: 2451-2583 , eISSN: 2543-6155

• Interdisciplinary Journal of Problem-Based Learning

  Czasopisma

  ISSN: 1541-5015

• International Journal of Work-Integrated Learning

  Czasopisma

  ISSN: 2538-1032

• International Journal of Machine Learning and Computing

  Czasopisma

  eISSN: 2010-3700

• Studies in Self-Access Learning Journal

  Czasopisma

  ISSN: 2185-3762

• International Journal of Early Childhood Learning

  Czasopisma

  ISSN: 2327-7939

• Per Linguam-A Journal of Language Learning

  Czasopisma

  ISSN: 0259-2312 , eISSN: 2224-0012