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wszystkich: 2003
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Katalog
- Publikacje 1317 wyników po odfiltrowaniu
- Czasopisma 468 wyników po odfiltrowaniu
- Konferencje 27 wyników po odfiltrowaniu
- Wydawnictwa 2 wyników po odfiltrowaniu
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Wyniki wyszukiwania dla: offline policy 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
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International Journal of Learning, Teaching and Educational Research
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International journal of e-learning & distance education
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Journal of Experimental Psychology: Learning, Memory, and Cognition
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Bellaterra Journal of Teaching and Learning Language and Literature
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Michał Bernard Pietrzak dr hab.
OsobyMichał Bernard Pietrzak jest kierownikiem Katedry Statystyki i Ekonometrii na Wydziale Ekonomii i Zarządzania Politechniki Gdańskiej oraz zastępcą redaktora naczelnego ds. oceny pod względem poprawności statystycznej czasopism: Oeconomia Copernicana i Equilibrium. Quarterly Journal of Economics and Economic Policy. Do października 2021 pracował na stanowisku profesora nadzwyczajnego na Wydziale Nauk Ekonomicznych i Zarządzania,...
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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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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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Predicting Compressive Strength of Cement-Stabilized Rammed Earth Based on SEM Images Using Computer Vision and Deep Learning
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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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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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Analysis of pedestrian activity before and during COVID-19 lockdown, using webcam time-lapse from Cracow and machine learning
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Determinants of anxiety levels among young males in a threat of experiencing military conflict–Applying a machine-learning algorithm in a psychosociological study
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Weighted Ensemble with one-class Classification and Over-sampling and Instance selection (WECOI): An approach for learning from imbalanced data streams
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E-learning przez Internet w szkolnictwie wyższym. Doświadczenia Szkoły Głównej Handlowej w Warszawie i Politechniki Gdańskiej.
PublikacjaOpisano 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.
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An automated learning model for twitter sentiment analysis using Ranger AdaBelief optimizer based Bidirectional Long Short Term Memory
PublikacjaSentiment 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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Impact evaluation of a cycling promotion campaign using daily bicycle counters data: The case of Cycling May in Poland
PublikacjaThe promotion of active and sustainable transport modes as an alternative to motorised individual transport has become a key policy priority in Europe, to reduce air pollution, road congestion, noise, traffic injuries, and the adverse health outcomes of sedentary lifestyles. Policymakers are implementing a wide range of measures to encourage this shift in attitudes and behaviours. These interventions are most valuable when targeting...
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The Learning Organization
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Socioeconomic and gender inequalities in home learning during the COVID-19 pandemic: examining the roles of the home environment, parent supervision, and educational provisions
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Statistical Data Pre-Processing and Time Series Incorporation for High-Efficacy Calibration of Low-Cost NO2 Sensor Using Machine Learning
PublikacjaAir pollution stands as a significant modern-day challenge impacting life quality, the environment, and the economy. It comprises various pollutants like gases, particulate matter, biological molecules, and more, stemming from sources such as vehicle emissions, industrial operations, agriculture, and natural events. Nitrogen dioxide (NO2), among these harmful gases, is notably prevalent in densely populated urban regions. Given...
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International Journal of Continuing Engineering Education and Lifelong Learning
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International Journal of Computer-Assisted Language Learning and Teaching
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International Journal of Web-Based Learning and Teaching Technologies
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International Journal for Research on Service-Learning and Community Engagement
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Studia z Zakresu Prawa Pracy i Polityki Społecznej
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Z Problematyki Prawa Pracy i Polityki Socjalnej
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B E Journal of Economic Analysis & Policy
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EQUILIBRIUM Quarterly Journal of Economics and Economic Policy
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CANADIAN PUBLIC POLICY-ANALYSE DE POLITIQUES
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International Journal of Child Care and Education Policy
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All Azimuth-A Journal of Foreign Policy and Peace
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Journal of Policy Research in Tourism Leisure and Events
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Psychological Trauma-Theory Research Practice and Policy
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Yale journal of health policy, law, and ethics
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Peace Economics Peace Science and Public Policy
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GOVERNANCE-AN INTERNATIONAL JOURNAL OF POLICY ADMINISTRATION AND INSTITUTIONS
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International Journal of Economic Policy in Emerging Economies
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GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS
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Asia-Pacific Journal of Ocean Law and Policy
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Slovak Journal of Public Policy and Public Administration
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International Journal of Public Policy and Administration Research
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Journal of Higher Education Policy and Leadership Studies
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Public Administration and Policy-An Asia-Pacific Journal
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Policy Insights from the Behavioral and Brain Sciences
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E-Learning as a Factor Optimizing the Amount of Work Time Devoted to Preparing an Exam for Medical Program Students during the COVID-19 Epidemic Situation
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Małgorzata Gawrycka dr hab.
OsobyMałgorzata Gawrycka, absolwentka Wydziału Zarządzania Uniwersytetu Gdańskiego, doktor habilitowana nauk ekonomicznych. W latach 2012-2020 prodziekan ds. dydaktyki Wydziału Zarządzania i Ekonomii Politechniki Gdańskiej. Obecnie dziekan Wydziału. Zainteresowania naukowe koncentrują się na zagadnieniach związanych z polityka makroekonomiczną państwa. W szczególności problematyka sytuacji na runku pracy, zmian demograficznych, kwalifikacji...
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Andreas Hoff (ed.) (2011). Population Ageing in Central and Eastern Europe. Societal and Policy Implications. Farnham, UK & Burlington, VT, USA: Ashgate, 260 pp. ISBN 978 0 7546 7828 1 (hardback)
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