Filtry
wszystkich: 5069
-
Katalog
- Publikacje 3644 wyników po odfiltrowaniu
- Czasopisma 242 wyników po odfiltrowaniu
- Konferencje 26 wyników po odfiltrowaniu
- Wydawnictwa 1 wyników po odfiltrowaniu
- Osoby 128 wyników po odfiltrowaniu
- Wynalazki 1 wyników po odfiltrowaniu
- Projekty 13 wyników po odfiltrowaniu
- Kursy Online 91 wyników po odfiltrowaniu
- Wydarzenia 10 wyników po odfiltrowaniu
- Dane Badawcze 913 wyników po odfiltrowaniu
wyświetlamy 1000 najlepszych wyników Pomoc
Wyniki wyszukiwania dla: CRANK BEARING
-
Explore-The Journal of Science and Healing
Czasopisma -
Independent Journal of Teaching and Learning
Czasopisma -
Information Technologies and Learning Tools
Czasopisma -
Electronic Journal of e-Learning
Czasopisma -
International Journal of Pedagogies & Learning
Czasopisma -
Journal of Language Teaching and Learning
Czasopisma -
International Journal of Learning Technology
Czasopisma -
Innovation in Language Learning and Teaching
Czasopisma -
Active Learning in Higher Education
Czasopisma -
Language Learning in Higher Education
Czasopisma -
Learning Disabilities-A Multidisciplinary Journal
Czasopisma -
Australian Journal of Learning Difficulties
Czasopisma -
IEEE Transactions on Learning Technologies
Czasopisma -
Journal of Unschooling and Alternative Learning
Czasopisma -
Psychology Learning and Teaching-PLAT
Czasopisma -
Journal of Practice Teaching and Learning
Czasopisma -
Tizard Learning Disability Review
Czasopisma -
New Directions for Teaching and Learning
Czasopisma -
International Journal of Learning and Change
Czasopisma -
Second Language Learning and Teaching
Czasopisma -
Advances in Learning and Behavioral Disabilities
Czasopisma -
Malaysian Journal of Learning & Instruction
Czasopisma -
International Journal of Technologies in Learning
Czasopisma -
Journal of Motor Learning and Development
Czasopisma -
CONTINUUM Lifelong Learning in Neurology
Czasopisma -
Journal of Formative Design in Learning
Czasopisma -
Scholarship of Teaching and Learning in Psychology
Czasopisma -
JOURNAL OF MACHINE LEARNING RESEARCH
Czasopisma -
Journal of Applied Learning and Teaching
Czasopisma -
Critical Studies in Teaching and Learning
Czasopisma -
Higher Learning Research Communications
Czasopisma -
Canadian Journal of Learning and Technology
Czasopisma -
E-Learning and Digital Media
Czasopisma -
Machine Learning and Knowledge Extraction
Czasopisma -
Machine Learning-Science and Technology
Czasopisma -
JOURNAL OF COMPUTER ASSISTED LEARNING
Czasopisma -
Caring for patients with Huntington disease – A survey of caregivers’ experiences and views
Publikacja -
Building federation of digital libraries basing on concept of atomic services
Publikacja -
From evil demiurge to caring hero: Images of geneticists in the movies
PublikacjaAlthough images of science and scientists depicted in popular culture have been criticized as an exaggeration and fear mongering, the cinema is an important resource that influences individuals’ beliefs about science. Because popular depictions of science play a crucial role in constructing the public’s ‘scientific imaginary’ they constitute an inherent dimension of the social understanding of science and are as important for...
-
Respiratory system modelling and simulation basing on the forced oscilation technique
PublikacjaConventional methods of testing lung functioning demand a specific respiratory action of the patient. In contrast, the forced oscillation technique (fot) provides measurements obtained with a minimal cooperation of the subject. The aim of this study is to verify the usefulness of the forced oscillation technique modelling in respiratory system diagnosing. in order to do it two models of fot measurements have been considered: the...
-
Model of speed-varing rotor for mechatronic systems analysis and design
PublikacjaW artykule przedstawiono sposób modelowania złożonych układów mechatronicznych w oparciu o metodę grafów wiązań. Celem zilustrowania metody posłużono się przykładem liczbowym, w którym rozważano wirnik obracający się ze zmienną prędkością kątową. Prezentowana metodyka doskonale nadaje się do modelowania układów o zróżnicowanej naturze fizycznej. Otrzymany model ma charakter obiektu o pewnej liczbie wejść i wyjść, który można w...
-
From evil demiurge to caring hero: images of geneticists in the movies
Publikacja -
Parental experiences and needs of caring for a child with 22q11.2 deletion syndrome
Publikacja -
Building Dedicated Project Management Process Basing on Historical Experience
PublikacjaProject Management Process used to manage IT project could be a key aspect of project success. Existing knowledge does not provide a method, which enables IT Organizations to choose Project Management methodology and processes, which would be adjusted to their unique needs. As a result, IT Organization use processes which are not tailored to their specific and do not meet their basic needs. This paper is an attempt to fill this...
-
Scene Segmentation Basing on Color and Depth Images for Kinect Sensor
PublikacjaIn this paper we propose a method for segmenting single images from Kinect sensor by considering both color and depth information. The algorithm is based on a series of edge detection procedures designed for particular features of the scene objects. RGB and HSV color planes are separately analyzed in the first step with Canny edge detector, resulting in overall color edges mask. In depth images both clear boundaries and smooth...
-
Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublikacjaBiochar is emerging as a potential solution for biomass conversion to meet the ever increasing demand for sustainable energy. Efficient management systems are needed in order to exploit fully the potential of biochar. Modern machine learning (ML) techniques, and in particular ensemble approaches and explainable AI methods, are valuable for forecasting the properties and efficiency of biochar properly. Machine-learning-based forecasts,...
-
Preeclampsia Risk Prediction Using Machine Learning Methods Trained on Synthetic Data
PublikacjaThis paper describes a research study that investigates the use of machine learning algorithms on synthetic data to classify the risk of developing preeclampsia by pregnant women. Synthetic datasets were generated based on parameter distributions from three real patient studies. Four models were compared: XGBoost, Support Vector Machine (SVM), Random Forest, and Explainable Boosting Machines (EBM). The study found that the XGBoost...
-
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning
PublikacjaIn this work, we investigate exemplar-free class incremental learning (CIL) with knowledge distillation (KD) as a regularization strategy, aiming to prevent forgetting. KDbased methods are successfully used in CIL, but they often struggle to regularize the model without access to exemplars of the training data from previous tasks. Our analysis reveals that this issue originates from substantial representation shifts in the teacher...
-
Gender as a Moderator of the Double Bias of Mistakes – Knowledge Culture and Knowledge Sharing Effects
PublikacjaThere is no learning without mistakes. The essence of the double bias of mistakes is the contradiction between an often-declared positive attitude towards learning from mistakes, and negative experiences when mistakes occur. Financial and personal consequences, shame, and blame force desperate employees to hide their mistakes. These adverse outcomes are doubled in organizations by the common belief that managers never make mistakes,...
-
Deep Learning-Based, Multiclass Approach to Cancer Classification on Liquid Biopsy Data
PublikacjaThe field of cancer diagnostics has been revolutionized by liquid biopsies, which offer a bridge between laboratory research and clinical settings. These tests are less invasive than traditional biopsies and more convenient than routine imaging methods. Liquid biopsies allow studying of tumor-derived markers in bodily fluids, enabling the development of more precise cancer diagnostic tests for screening, disease monitoring, and...