Filters
total: 4644
-
Catalog
- Publications 2649 available results
- Journals 621 available results
- Conferences 38 available results
- People 123 available results
- Inventions 3 available results
- Projects 43 available results
- Laboratories 1 available results
- Research Teams 2 available results
- e-Learning Courses 435 available results
- Events 71 available results
- Open Research Data 658 available results
displaying 1000 best results Help
Search results for: BLENDED E-LEARNING
-
International Journal of Learning Technology
Journals -
Innovation in Language Learning and Teaching
Journals -
Active Learning in Higher Education
Journals -
Learning Disabilities-A Multidisciplinary Journal
Journals -
Australian Journal of Learning Difficulties
Journals -
IEEE Transactions on Learning Technologies
Journals -
Journal of Unschooling and Alternative Learning
Journals -
Psychology Learning and Teaching-PLAT
Journals -
Journal of Practice Teaching and Learning
Journals -
Tizard Learning Disability Review
Journals -
New Directions for Teaching and Learning
Journals -
Journal of College Reading and Learning
Journals -
International Journal of Learning and Change
Journals -
Second Language Learning and Teaching
Journals -
Advances in Learning and Behavioral Disabilities
Journals -
Malaysian Journal of Learning & Instruction
Journals -
International Journal of Technologies in Learning
Journals -
Journal of Motor Learning and Development
Journals -
CONTINUUM Lifelong Learning in Neurology
Journals -
Journal of Formative Design in Learning
Journals -
Scholarship of Teaching and Learning in Psychology
Journals -
JOURNAL OF MACHINE LEARNING RESEARCH
Journals -
Journal of Applied Learning and Teaching
Journals -
Critical Studies in Teaching and Learning
Journals -
Higher Learning Research Communications
Journals -
Canadian Journal of Learning and Technology
Journals -
Machine Learning and Knowledge Extraction
Journals -
Machine Learning-Science and Technology
Journals -
JOURNAL OF COMPUTER ASSISTED LEARNING
Journals -
Computational analysis of an infinite magneto-thermoelastic solid periodically dispersed with varying heat flow based on non-local Moore–Gibson–Thompson approach
PublicationIn this investigation, a computational analysis is conducted to study a magneto-thermoelastic problem for an isotropic perfectly conducting half-space medium. The medium is subjected to a periodic heat flow in the presence of a continuous longitude magnetic field. Based on Moore–Gibson–Thompson equation, a new generalized model has been investigated to address the considered problem. The introduced model can be formulated by combining...
-
Investigating the disease- modifying properties of sclerotiorin in Alzheimer's therapy using acetylcholinesterase inhibition
PublicationAlzheimer's disease (AD) is a progressive neurodegenerative disorder caused due to the damage and loss of neurons in specific brain regions. It is the most common form of dementia observed in older people. The symptoms start with memory loss and gradually cause the inability to speak and do day-to-day activities. The cost of caring for those affected individuals is huge and is probably beyond most developing countries capability....
-
Forecasting energy consumption and carbon dioxide emission of Vietnam by prognostic models based on explainable machine learning and time series
PublicationThis 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...
-
Machine learning-based prediction of seismic limit-state capacity of steel moment-resisting frames considering soil-structure interaction
PublicationRegarding the unpredictable and complex nature of seismic excitations, there is a need for vulnerability assessment of newly constructed or existing structures. Predicting the seismic limit-state capacity of steel Moment-Resisting Frames (MRFs) can help designers to have a preliminary estimation and improve their views about the seismic performance of the designed structure. This study improved data-driven decision techniques in...
-
Structural Factors Affecting Cytotoxic Activity of (E)-1-(Benzo[d ][1,3]oxathiol-6-yl)-3-phenylprop-2-en-1-one Derivatives
PublicationDerivatives of (E)-1-(5-alkoxybenzo[d][1,3]oxathiol-6-yl)-3-phenylprop-2-en-1-one (1) demonstrated exceptionally high in vitro cytotoxic activity, with IC50 values of the most active derivatives in the nanomolar range. To identify structural fragments necessary for the activity, several analogs deprived of selected fragments were prepared, and their cytotoxic activity was tested. It was found that the activity depends on combined effects...
-
Emilia Miszewska dr inż.
PeopleEmilia Miszewska was born in 1986 in Gdańsk. She graduated from Primary School No. 17 in Gdańsk with sports classes specializing in swimming and Janusz Kusociński Sports Secondary School No. 11 in Gdańsk. In 2005, she started uniform master's studies at the Faculty of Civil and Environmental Engineering, which she completed in 2011, defending her diploma thesis entitled "Analysis and development of fire protection guidelines and...
-
Szymon Zaporowski mgr inż.
People -
Robust-adaptive dynamic programming-based time-delay control of autonomous ships under stochastic disturbances using an actor-critic learning algorithm
PublicationThis paper proposes a hybrid robust-adaptive learning-based control scheme based on Approximate Dynamic Programming (ADP) for the tracking control of autonomous ship maneuvering. We adopt a Time-Delay Control (TDC) approach, which is known as a simple, practical, model free and roughly robust strategy, combined with an Actor-Critic Approximate Dynamic Programming (ACADP) algorithm as an adaptive part in the proposed hybrid control...
-
Gdansk 2020, Grunwaldzka (E) street - video data - pedestrian, bicycles, vehicles
Open Research DataGdansk 2020, Grunwaldzka (E) street - video data - pedestrian, bicycles, vehicles
-
Mesh-based internet on the Baltic sea for improving e-navigation services. A case study
Publication -
Traditional smoking and e-smoking among medical students and students-athletes – popularity and motivation
Publication -
Avaliação das propriedades de impulso e freqüência em sistemas de aterramento
PublicationBezpieczne uziemienia projektowane dla celów ochrony odgromowej powinny odprowadzać prądy wyładowań atmosferycznych przy możliwie niewielkim spadku napięcia. Dla oceny ich skuteczności należy brać pod uwagę nie tylko ich rezystancję, lecz przede wszystkim impedancję. W pracy porównano wyniki symulacji komputerowych i pomiarów na obiektach rzeczywistych impedancji uziemień mierzonych przy wymuszeniach udarowych oraz wysokoczęstotliwościowych.
-
Low-Cost and Highly-Accurate Behavioral Modeling of Antenna Structures by Means of Knowledge-Based Domain-Constrained Deep Learning Surrogates
PublicationThe awareness and practical benefits of behavioral modeling methods have been steadily growing in the antenna engineering community over the last decade or so. Undoubtedly, the most important advantage thereof is a possibility of a dramatic reduction of computational expenses associated with computer-aided design procedures, especially those relying on full-wave electromagnetic (EM) simulations. In particular, the employment of...
-
Machine learning techniques combined with dose profiles indicate radiation response biomarkers
Publication -
Autonomous Perception and Grasp Generation Based on Multiple 3D Sensors and Deep Learning
PublicationGrasping objects and manipulating them is the main way the robot interacts with its environment. However, for robots to operate in a dynamic environment, a system for determining the gripping position for objects in the scene is also required. For this purpose, neural networks segmenting the point cloud are usually applied. However, training such networks is very complex and their results are unsatisfactory. Therefore, we propose...
-
BIG DATA SIGNIFICANCE IN REMOTE MEDICAL DIAGNOSTICS BASED ON DEEP LEARNING TECHNIQUES
PublicationIn this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video-based estimation of patient vital signs and other health-related parameters. Additionally, potential...
-
DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images
Publication -
Improved estimation of dynamic modulus for hot mix asphalt using deep learning
Publication -
Effects of mutual learning in physical education to improve health indicators of Ukrainian students
Publication -
Comparison of Deep Neural Network Learning Algorithms for Mars Terrain Image Segmentation
PublicationThis paper is dedicated to the topic of terrain recognition on Mars using advanced techniques based on the convolutional neural networks (CNN). The work on the project was conducted based on the set of 18K images collected by the Curiosity, Opportunity and Spirit rovers. The data were later processed by the model operating in a Python environment, utilizing Keras and Tensorflow repositories. The model benefits from the pretrained...
-
Overcoming “Big Data” Barriers in Machine Learning Techniques for the Real-Life Applications
Publication