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Wyniki wyszukiwania dla: ELEARNING PROGRAMME
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Learn - Journal of Irish Learning Support Association
Czasopisma -
Knowledge Management & E-Learning-An International Journal
Czasopisma -
IEEE Transactions on Neural Networks and Learning Systems
Czasopisma -
JOURNAL OF EXPERIMENTAL PSYCHOLOGY-ANIMAL LEARNING AND COGNITION
Czasopisma -
Higher Education Skills and Work-based Learning
Czasopisma -
Learning and Teaching in Higher Education-Gulf Perspectives
Czasopisma -
Current Trends in Translation Teaching and Learning E
Czasopisma -
International Journal of Virtual and Personal Learning Environments
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Asia-Pacific Forum on Science Learning and Teaching
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International Journal of Computer-Supported Collaborative Learning
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International Journal of Technological Learning, Innovation and Development
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International Journal of Cyber Behavior, Psychology and Learning
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International Journal of Science, Mathematics and Technology Learning
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Journal of Library and Information Services in Distance Learning
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International Journal of Adult, Community and Professional Learning
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Research in Education and Learning Innovation Archives-REALIA
Czasopisma -
International Journal of Learning, Teaching and Educational Research
Czasopisma -
International journal of e-learning & distance education
Czasopisma -
Journal of Experimental Psychology: Learning, Memory, and Cognition
Czasopisma -
Bellaterra Journal of Teaching and Learning Language and Literature
Czasopisma -
Małgorzata Śmiałek-Telega dr hab. inż.
Osoby -
A shared curriculum for daylighting education to meet the educational needs of society
PublikacjaThis article describes the collaborative creation of the curriculum for a new eLearning programme on daylighting design of buildings targeting both traditional and lifelong learners. The programme consists of an online platform integrated with a summer school for practical applications. The process was conducted through several workshops with professionals, representatives of national bodies on building regulations, academics,...
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Normalizacja EMC w odniesieniu do urządzeń elektrycznych. Europejski program Leonardo da Vinci. Leonardo Power Quality Initiative.
PublikacjaW referacie przedstawiono zarys zaleceń normalizacyjnych związanych z wymaganymi badaniami kompatybilności elektromagnetycznej urządzeń elektronicznych, a w szczególności odporności i emisji elektromagnetycznej.
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Ocena zgodności urządzeń z dyrektywą kompatybilności elektromagnetycznej. '' Edukacyjny program Jakości zasilania Leonardo''. Leonardo Power Quality Initiative.
PublikacjaCelem publikacji jest przedstawienie procedury oceny wyrobów podlegających dyrektywie EMC. Należy zaznaczyć, że zgodnie z prawem europejskim tryb oceny wyrobu dla poszczególnych dyrektyw jest odmienny i wynika z szczegółowych rozporządzeń ( Rozporządzenie Rady Ministrów z dnia 25 czerwca 2002 r. w sprawie warunków i trybu dokonywania oceny zgodności z zasadniczymi wymaganiami dotyczącymi kompatybilności elektromagnetycznej...
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Rozpowszechnienie nadwagi i otyłości w populacji wiejskiej - Program ''Kiełpino'' = Prevalence of overweight and obesity in village population - ''Kiełpino Trial''
PublikacjaNadwaga i otyłość stanowią poważny problem zdrowotny na całym świecie. Są czynnikiem ryzyka wielu chorób przewlekłych, zwłaszcza chorób sercowo-naczyniowych, metabolicznych, a także niektórych nowotworów. Praca ma na celu ocenę rozpowszechnienia nadwagi i otyłości w populacji wiejskiej.
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The impact of the Government Program for Social Participation of Senior Citizens (ASOS) on social activation of the elderly in Poland: Findings from a qualitative study
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Calculation Program Supporting Switched Capacitor DC-DC Charge Pump Design (CP Design Calculator) - PartII: User's Guide
PublikacjaPrzewodnik użytkownika programu wspomagającego projektowanie pomp ładunkowych z przełączanymi pojemnościami. Praca jest podzielona na 3 rozdziały (INTRODUCTI ON, GRAPHICAL USER INTERFACE (GUI), PROGRAM NOTIFICATIONS) i podziękowania.
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Deep Learning-based Recalibration of the CUETO and EORTC Prediction Tools for Recurrence and Progression of Non–muscle-invasive Bladder Cancer
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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
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Solvent Screening for Solubility Enhancement of Theophylline in Neat, Binary and Ternary NADES Solvents: New Measurements and Ensemble Machine Learning
PublikacjaTheophylline, a typical representative of active pharmaceutical ingredients, was selected to study the characteristics of experimental and theoretical solubility measured at 25 °C in a broad range of solvents, including neat, binary mixtures and ternary natural deep eutectics (NADES) prepared with choline chloride, polyols and water. There was a strong synergistic effect of organic solvents mixed with water, and among the experimentally...
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Personalized prediction of the secondary oocytes number after ovarian stimulation: A machine learning model based on clinical and genetic data
PublikacjaControlled ovarian stimulation is tailored to the patient based on clinical parameters but estimating the number of retrieved metaphase II (MII) oocytes is a challenge. Here, we have developed a model that takes advantage of the patient’s genetic and clinical characteristics simultaneously for predicting the stimulation outcome. Sequence variants in reproduction-related genes identified by next-generation sequencing were matched...
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User Orientation Detection in Relation to Antenna Geometry in Ultra-Wideband Wireless Body Area Networks Using Deep Learning
PublikacjaIn this paper, the issue of detecting a user’s position in relation to the antenna geometry in ultra-wideband (UWB) off-body wireless body area network (WBAN) communication using deep learning methods is presented. To measure the impulse response of the channel, a measurement stand consisting of EVB1000 devices and DW1000 radio modules was developed and indoor static measurement scenarios were performed. It was proven that for...
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublikacjaIn this article we present the novel spectroscopy method supported with machine learning for real-time detection of infectious agents in wastewater. In the case of infectious diseases, wastewater monitoring can be used to detect the presence of inflammation biomarkers, such as the proposed C-reactive protein, for monitoring inflammatory conditions and mass screening during epidemics for early detection in communities of concern,...
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Computational Analysis of Transformational Organisational Change with Focus on Organisational Culture and Organisational Learning: An Adaptive Dynamical Systems Modeling Approach
PublikacjaTransformative Organisational Change becomes more and more significant both practically and academically, especially in the context of organisational culture and learning. However computational modeling and formalization of organisational change and learning processes are still largely unexplored. This chapter aims to provide an adaptive network model of transformative organisational change and translate a selection of organisational...
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Predicting Compressive Strength of Cement-Stabilized Rammed Earth Based on SEM Images Using Computer Vision and Deep Learning
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Machine Learning- and Artificial Intelligence-Derived Prediction for Home Smart Energy Systems with PV Installation and Battery Energy Storage
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Machine Learning Algorithm-Based Tool and Digital Framework for Substituting Daylight Simulations In Early- Stage Architectural Design Evaluation
PublikacjaThe aim of this paper is to examine the new method of obtaining the simulation-based results using backpropagation of errors artificial neural networks. The primary motivation to conduct the research was to determine an alternative, more efficient and less timeconsuming method which would serve to achieve the results of daylight simulations. Three daylight metrics: Daylight Factor, Daylight Autonomy and Daylight Glare Probability have...
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Knowledge sharing and knowledge hiding in light of the mistakes acceptance component of learning culture- knowledge culture and human capital implications
PublikacjaPurpose: This study examines the micromechanisms of how knowledge culture fosters human capital development. Method: An empirical model was developed using the structural equation modeling method (SEM) based on a sample of 321 Polish knowledge workers employed in different industries. Findings: This study provides direct empirical evidence that tacit knowledge sharing supports human capital, whereas tacit knowledge hiding does...
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Is it too late now to say we’re sorry? Examining anxiety contagion and crisis communication strategies using machine learning
PublikacjaIn this paper, we explore the role of perceived emotions and crisis communication strategies via organizational computer-mediated communication in predicting public anxiety, the default crisis emotion. We use a machine-learning approach to detect and predict anxiety scores in organizational crisis announcements on social media and the public’s responses to these posts. We also control for emotional and language tones in organizational...
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Active Annotation in Evaluating the Credibility of Web-Based Medical Information: Guidelines for Creating Training Data Sets for Machine Learning
PublikacjaMethods Results Discussion References Abbreviations Copyright Abstract Background: The spread of false medical information on the web is rapidly accelerating. Establishing the credibility of web-based medical information has become a pressing necessity. Machine learning offers a solution that, when properly deployed, can be an effective tool in fighting medical misinformation on the web. Objective: The aim of this study is to...
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Application of a hybrid mechanistic/machine learning model for prediction of nitrous oxide (N2O) production in a nitrifying sequencing batch reactor
PublikacjaNitrous oxide (N2O) is a key parameter for evaluating the greenhouse gas emissions from wastewater treatment plants. In this study, a new method for predicting liquid N2O production during nitrification was developed based on a mechanistic model and machine learning (ML) algorithm. The mechanistic model was first used for simulation of two 15-day experimental trials in a nitrifying sequencing batch reactor. Then, model predictions...
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Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublikacjaThis study assessed the usefulness of algorithms in estimating energy consumption and carbon dioxide emissions in Viet- nam, in which the training dataset was used to train the models linear regression, random forest, XGBoost, and AdaBoost, allowing them to comprehend the patterns and relationships between population, GDP, and carbon dioxide emissions, energy consumption. The results revealed that random forest, XGBoost, and AdaBoost...
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Grzegorz Redlarski prof. dr hab. inż.
Osoby -
Ireneusz Czarnowski Prof.
OsobyIRENEUSZ 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...
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Green Technology as a Way of Cleaning the Environment from Petroleum Substances in South-Eastern Poland
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Neural network based control system architecture proposal for underwatership hull cleaning robot.
PublikacjaPrzedstawiono model matematyczny podwodnej głowicy roboczej, oraz określono metodę jej pozycjonowania i orientacji w lokalnym środowisku. Zaproponowano architekturę układu sterowania, opartego na bazie sieci neuronowych, za pomocą którego można sterować podwodnym robotem, przeznaczonym do czyszczenia burt statku.
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New trifunctional acrylic water-based paint with self-cleaning, biocidal and magnetic properties
PublikacjaIn the present study, we report the synthesis and application of ZnFe2O4/SiO2-TiO2 nanocomposites with nonstoichiometric content of Fe to Zn used for the first time for the preparation of new generation trifunctional paints with self-cleaning, biocidal and magnetic properties. Currently, there are no compositions on the market for obtaining protective coatings in the form of paint, which simultaneously exhibit biocidal, magnetic...
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Dietary behaviour and physical activity policies in Europe: learnings from the Policy Evaluation Network (PEN)
PublikacjaThe European Policy Evaluation Network (PEN), initiated in autumn 2018, aimed at advancing the evidence base for public policies impacting dietary behaviour, physical activity and sedentary behaviours in Europe. This is needed because non-communicable diseases—the leading cause of global mortality—are substantially caused by physical inactivity and unhealthy dietary behaviours, which in turn are driven by upstream factors that...
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ICT4SMEs Innovation Creativity and Talent eLearning program for ICT Smes
ProjektyProjekt realizowany w Centrum Transferu Technologii
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WYNIKI SYMULACJI NUMERYCZNEJ CYKLU ROBOCZEGO SILNIKA O ZS W PROGRAMIE DIESEL-RK ORAZ OCENA ICH UŻYTECZNOŚCI W PROCESIE PLANOWANIA BADAŃ DIAGNOSTYCZNYCH OKRĘTOWEGO SILNIKA TŁOKOWEGO
PublikacjaW artykule przedstawiono wyniki symulacji numerycznej procesu roboczego realizowanego w silniku tłokowym o zapłonie samoczynnym. W zastosowanym programie użytkowym DIESEL-RK zaimplementowano silnik laboratoryjny Farymann Diesel typ D10. Wprowadzono wybraną niesprawność jego układu funkcjonalnego zasilania paliwem - obniżone ciśnienie otwarcia wtryskiwacza pwtr. Wyznaczono wartości adekwatnych parametrów diagnostycznych: temperaturę...