Search results for: stacked machine learning

• JSME INTERNATIONAL JOURNAL SERIES C-MECHANICAL SYSTEMS MACHINE ELEMENTS AND MANUFACTURING

  Journals

  ISSN: 1344-7653

• Ryszard Woźniak dr inż.

  People

  Institute of Mechanics and Machine Design

  Ryszard Woźniak received his M.Sc. (1984) from the Lublin University of Technology specializing in Cars and Tractors. In 2002, at the Gdansk University of Technology he defended his doctoral thesis on: "Tyre/road noise when large longitudinal forces are applied in tyre/road contact patch" and obtained a doctorate degree in technical sciences in the field of construction and operation of machines. Currently he is an adjunct at the...

• Bilingual advantage? Literacy and phonological awareness in Polish-speaking early elementary school children learning English simultaneously

  Publication

  • P. Pawlicka
  • M. Lipowska
  • P. Jurek

  - Acta Neuropsychologica - Year 2018

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• Perceived technostress while learning a new mobile technology: Do individual differences and the way technology is presented matter?

  Publication

  • P. Jurek
  • M. Olech
  • H. Brycz

  - Human Technology - Year 2021

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• Night shifts as a learning experience among nursing students across Europe: Findings from a cross-sectional survey

  Publication

  • B. Dobrowolska
  • A. Zec
  • J. Tosoratti
  • M. Machul
  • A. Pokorná
  • C. Nascimento
  • S. Ferrão
  • K. Ziakova
  • A. Solgajova
  • L. Rybarova... and 2 others

  - NURSE EDUCATION TODAY - Year 2020

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• E-learning jako narzędzie wspierające kształcenie osób 50+. Rozważania w oparciu o projekt MAYDAY

  Publication

  • M. Zięba

  - Year 2009

  Rozdział przedstawia zalety i wady szkoleń e-learningowych ze szczególnym uwzględnieniem uczestników w wieku 50+, analizę szkolenia przeprowadzonego w ramach projektu MAYDAY oraz wytyczne i rekomendacje do tworzenia kursów e-learnignowych dla osób powyżej 50-go roku życia.

• Finite State Machine Based Modelling of Discrete Control Algorithm in LAD Diagram Language With Use of New Generation Engineering Software

  Publication

  • W. Zając
  • G. Andrzejewski
  • K. Krzywicki
  • T. Królikowski

  - Procedia Computer Science - Year 2019

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• Adaptive Hounsfield Scale Windowing in Computed Tomography Liver Segmentation

  Publication

  • J. Cychnerski
  • M. Zakrzewski
  • D. Kwiatkowski

  - Year 2024

  In computed tomography (CT) imaging, the Hounsfield Unit (HU) scale quantifies radiodensity, but its nonlinear nature across organs and lesions complicates machine learning analysis. This paper introduces an automated method for adaptive HU scale windowing in deep learning-based CT liver segmentation. We propose a new neural network layer that optimizes HU scale window parameters during training. Experiments on the Liver Tumor...

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• Activation of Metabotropic Glutamate Receptor (mGlu2) and Muscarinic Receptors (M1, M4, and M5), Alone or in Combination, and Its Impact on the Acquisition and Retention of Learning in the Morris Water Maze, NMDA Expression and cGMP Synthesis

  Publication

  • J. M. Wierońska
  • P. Cieślik
  • G. Burnat
  • L. Kalinowski

  - Biomolecules - Year 2023

  The Morris water maze (MWM) is regarded as one of the most popular tests for detecting spatial memory in rodents. Long-term potentiation and cGMP synthesis seem to be among the crucial factors involved in this type of learning. Muscarinic (M1, M4, and M5 receptors) and metabotropic glutamate (mGlu) receptors are important targets in the search for antipsychotic drugs with the potency to treat cognitive disabilities associated with...

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• International Journal of History Learning, Teaching and Research

  Journals

  ISSN: 1472-9466

• International Journal of Teaching and Learning in Higher Education

  Journals

  ISSN: 1812-9129

• Computer Assisted Language Learning: an International Journal

  Journals

  ISSN: 0958-8221 , eISSN: 1744-3210

• European Journal for Research on the Education and Learning of Adults

  Journals

  ISSN: 2000-7426

• Learn - Journal of Irish Learning Support Association

  Journals

  ISSN: 0790-3529

• Knowledge Management & E-Learning-An International Journal

  Journals

  ISSN: 2073-7904

• IEEE Transactions on Neural Networks and Learning Systems

  Journals

  ISSN: 2162-237X , eISSN: 2162-2388

• JOURNAL OF EXPERIMENTAL PSYCHOLOGY-ANIMAL LEARNING AND COGNITION

  Journals

  ISSN: 2329-8456 , eISSN: 2329-8464

• Higher Education Skills and Work-based Learning

  Journals

  ISSN: 2042-3896 , eISSN: 2042-390X

• Current Trends in Translation Teaching and Learning E

  Journals

  ISSN: 2342-7205

• International Journal of Virtual and Personal Learning Environments

  Journals

  ISSN: 1947-8518

• Asia-Pacific Forum on Science Learning and Teaching

  Journals

  ISSN: 1609-4913

• International Journal of Computer-Supported Collaborative Learning

  Journals

  ISSN: 1556-1607 , eISSN: 1556-1615

• International Journal of Technological Learning, Innovation and Development

  Journals

  ISSN: 1753-1942

• International Journal of Cyber Behavior, Psychology and Learning

  Journals

  ISSN: 2155-7136

• Learning and Teaching in Higher Education-Gulf Perspectives

  Journals

  ISSN: 2077-5504

• International Journal of Science, Mathematics and Technology Learning

  Journals

  ISSN: 2327-7971

• Journal of Library and Information Services in Distance Learning

  Journals

  ISSN: 1533-290X

• International Journal of Adult, Community and Professional Learning

  Journals

  ISSN: 2328-6318

• Research in Education and Learning Innovation Archives-REALIA

  Journals

  ISSN: 2659-9031

• International Journal of Learning, Teaching and Educational Research

  Journals

  eISSN: 1694-2116

• International journal of e-learning & distance education

  Journals

  eISSN: 1916-6818

• Journal of Experimental Psychology: Learning, Memory, and Cognition

  Journals

  ISSN: 0278-7393 , eISSN: 1939-1285

• Bellaterra Journal of Teaching and Learning Language and Literature

  Journals

  eISSN: 2013-6196

• Instance segmentation of stack composed of unknown objects

  Publication

  • M. Czubenko
  • A. Chrzanowski
  • R. Okuński

  - ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE - Year 2023

  The article reviews neural network architectures designed for the segmentation task. It focuses mainly on instance segmentation of stacked objects. The main assumption is that segmentation is based on a color image with an additional depth layer. The paper also introduces the Stacked Bricks Dataset based on three cameras: RealSense L515, ZED2, and a synthetic one. Selected architectures: DeepLab, Mask RCNN, DEtection TRansformer,...

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• Between therapy effect and false-positive result in animal experimentation

  Publication

  • P. Sosnowski
  • P. Sass
  • A. Stanisławska-Sachadyn
  • M. Krzemiński
  • P. Sachadyn

  - BIOMEDICINE & PHARMACOTHERAPY - Year 2023

  Despite the animal models’ complexity, researchers tend to reduce the number of animals in experiments for expenses and ethical concerns. This tendency makes the risk of false-positive results, as statistical significance, the primary criterion to validate findings, often fails if testing small samples. This study aims to highlight such risks using an example from experimental regenerative therapy and propose a machine-learning...

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• Wykorzystanie modelu silnika indukcyjnego klatkowego do prądowej diagnostyki jego łożysk. Application of induction machine model for current diagnostics of bearings

  Publication

  • J. Rusek
  • L. Swędrowski

  - Year 2003

  W pracy podano widmo prądu stojana dla silnika normalnego oraz wprawianego w drgania o nastawianej częstotliwości. Drgania korpusu wirnika skutkują uginaniem się wirnika, co symuluje bicie wirnika od uszkodzenia łożysk. Podano też model matematyczny silnika, dopuszczający niecentryczność wirnika. Podano widmo prądu stojana przy pracy z wibracjami wirnika odwzorowującymi w pewnym przybliżeniu wibracje od uszkodzonych łożysk.

• Deep Learning-based Recalibration of the CUETO and EORTC Prediction Tools for Recurrence and Progression of Non–muscle-invasive Bladder Cancer

  Publication

  • M. Jobczyk
  • K. Stawiski
  • M. Kaszkowiak
  • P. Rajwa
  • W. Różański
  • F. Soria
  • S. Shariat
  • W. Fendler

  - European Urology Oncology - Year 2021

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• E-LEARNING AND TEACHING STRATEGIES OF UNIVERSITY TEACHERS. A CASE STUDY IN THE TEACHING OF SPANISH AS A SECOND LANGUAGE IN SLOVAKIA, POLAND AND THE USA

  Publication

  • E. Reichwalderová
  • C. Dimeo

  - Year 2020

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• High-resolution synthesis of high-density breast mammograms: Application to improved fairness in deep learning based mass detection

  Publication

  • L. Garrucho
  • K. Kushibar
  • R. Osuala
  • O. Diaz
  • A. Catanese
  • J. del
  • M. Bobowicz
  • F. Strand
  • L. Igual
  • K. Lekadir

  - Frontiers in Oncology - Year 2023

  Full text to download in external service

• Predicting Compressive Strength of Cement-Stabilized Rammed Earth Based on SEM Images Using Computer Vision and Deep Learning

  Publication

  • P. Narloch
  • A. Hassanat
  • A. Tarawneh
  • H. Anysz
  • J. Kotowski
  • K. Almohammadi

  - Applied Sciences-Basel - Year 2019

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• Human Feedback and Knowledge Discovery: Towards Cognitive Systems Optimization

  Publication

  • C. S. de Oliveira
  • C. Sanin
  • E. Szczerbicki

  - Procedia Computer Science - Year 2020

  Current computer vision systems, especially those using machine learning techniques are data-hungry and frequently only perform well when dealing with patterns they have seen before. As an alternative, cognitive systems have become a focus of attention for applications that involve complex visual scenes, and in which conditions may vary. In theory, cognitive applications uses current machine learning algorithms, such as deep learning,...

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• Analysis and evaluation of grouping methods for effective cutting tool operation

  Publication

  • M. Dobrzyński
  • W. Przybylski

  - Journal of Machine Construction and Maintenance - Year 2018

  This article presents the possibilities for using cluster analysis in the assignment of machine tools in automated manufacturing systems. Based on the similarity of manufacturing processes in the system, cutting tools have been grouped. The objective was to obtain groups of similar objects, which could potentially ensure the reduction of the frequency and time of setups, optimizing the maintenance of tool resources and improving...

  Full text available to download

• Review of the Complexity of Managing Big Data of the Internet of Things

  Publication

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

  - COMPLEXITY - Year 2019

  Tere is a growing awareness that the complexity of managing Big Data is one of the main challenges in the developing feld of the Internet of Tings (IoT). Complexity arises from several aspects of the Big Data life cycle, such as gathering data, storing them onto cloud servers, cleaning and integrating the data, a process involving the last advances in ontologies, such as Extensible Markup Language (XML) and Resource Description...

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• Machine Tools and Cutting Tools W/L; DaPE; 1st grade, 6th semester, Summer 22/23 (M:320416W0)

  e-Learning Courses

  • D. Chuchała
  • K. Orłowski

  Design and Production Engineering (FME&ST), 1st degree, 6th semester

• Machine Tools and Cutting Tools W/L; DaPE; 1st grade, 6th semester, Summer 23/24 (M:320416W0)

  e-Learning Courses

  • D. Chuchała
  • A. Suchta
  • K. Orłowski

• Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams

  Publication

  • I. Czarnowski

  - Journal of Computational Science - Year 2022

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• E-learning przez Internet w szkolnictwie wyższym. Doświadczenia Szkoły Głównej Handlowej w Warszawie i Politechniki Gdańskiej.

  Publication

  • A. Grabowska

  - Year 2004

  Opisano cztery podstawowe rodzaje e-learningu, przedstawiono strukturę funkcjonalną systemów zarządzania nauczaniem na odległość i zarządzania treścią nauczania (ang. LMS, LCMS) oraz zaprezentowano doświadczenia Szkoły Głównej Handlowej w Warszawie i Politechniki Gdańskiej w nauczaniu na odległość.

• An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory

  Publication

  • S. Natarajan
  • S. Kurian
  • P. Bidare Divakarachari
  • P. Falkowski-Gilski

  - EXPERT SYSTEMS - Year 2024

  Sentiment analysis is an automated approach which is utilized in process of analysing textual data to describe public opinion. The sentiment analysis has major role in creating impact in the day-to-day life of individuals. However, a precise interpretation of text still relies as a major concern in classifying sentiment. So, this research introduced Bidirectional Long Short Term Memory with Ranger AdaBelief Optimizer (Bi-LSTM RAO)...

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• BETWEEN IDEA AND INTERPRETATION - DESIGN PROCESS AUGMENTATION

  Publication

  • K. Radziszewski
  • P. Świderski

  - Year 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...

• The Learning Organization

  Journals

  ISSN: 0969-6474 , eISSN: 1758-7905