Wyniki wyszukiwania dla: learning about natural phenomena - MOST Wiedzy

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Wyniki wyszukiwania dla: learning about natural phenomena

Wyniki wyszukiwania dla: learning about natural phenomena

  • Neural networks and deep learning

    Publikacja

    - Rok 2022

    In this chapter we will provide the general and fundamental background related to Neural Networks and Deep Learning techniques. Specifically, we divide the fundamentals of deep learning in three parts, the first one introduces Deep Feed Forward Networks and the main training algorithms in the context of optimization. The second part covers Convolutional Neural Networks (CNN) and discusses their main advantages and shortcomings...

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  • Blended Learning in Teaching Safety of Electrical Installations

    Publikacja

    - Rok 2014

    Blended learning becomes more commonly used in teaching information technology or other subjects, which involve practice in computer laboratories. In case of subjects with no access to computer rooms blended learning supports lecturing and teaching classes e.g. interactive lessons. The article presents the use of blended learning forms in Gdansk University of Technology in teaching the subject of Safety of Electrical Installations....

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  • Fluctuation phenomena in semiconductor gas sensors

    Czujniki gazu mogą być wytwarzane z cienkiej warstwy półprzewodnika, która po podgrzaniu do odpowiedniej temperatury staje się czuła na gaz. Zjawisko to jest dobrze znane i szeroko opisane w literaturze. Jako wskaźnik detekcji gazu wykorzystuje się zmianę rezystancji stałoprądowej czujnika. Zwiększenie czułości i, co najważniejsze z praktycznego punktu widzenia, selektywności dyskryminacji można uzyskać jeśli warstwa półprzewodnika...

  • Tribology of stochastic phenomena on the hard tissue.

    Publikacja

    - Rok 2004

    Praca przedstawia model matematyczny zjawisk tribologicznych podczas hodowli tkanek twardych, w tym chrząstek stawowych. Uwzględnia się chropowatości powierzchni hodowanych chrząstek. Problem tribologiczny uzewnętrzniony został koniecznością sterowania wartościami sił tarcia jakie powstają w cienkiej warstewce przyściennej opływanej tkanki cieczą biologiczną w trakcie hodowli. Taki model matematyczny nie był do tej pory rozpatrywany.

  • Photovoltaic phenomena in devices with perfluorozincphthalocyanine layer

    Publikacja

    - Rok 2016

    The course of photovoltaic phenomenon in organic photovoltaic cells utilizing thin layers of perfluorozincphthalocyanine was studied in few single and planar bilayer configurations. Mechanisms of photogeneration and recombination of free charge carriers were determined and active interfaces were localized. In case of single layer cells these interfaces were located at the front electrode/F16ZnPc junctions, whereas photogeneration...

  • Thermal and hydraulic phenomena in boundary layer of minijets impingement on curved surfaces

    Publikacja

    - Archives of Thermodynamics - Rok 2018

    Presented work considers flow and thermal phenomena occurring during the single minijet impingement on curved surfaces, heated with a constant heat flux, as well as the array of minijets. Numerical analyses, based on the mass, momentum and energy conservation laws, were conducted, regarding single phase and two-phase simulations. Focus was placed on the proper model construction, in which turbulence and boundary layer modeling...

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  • Influence of external climate on natural ventilation performance in buildings

    Publikacja

    Natural ventilation is driven by either buoyancy forces or wind pressure forces or their combinations that inherit stochastic variation into ventilation rates [ CITATION Hun99 \l 1045 ]. We now that these factors have influence on air flow speed and thermal comfort inside building. This work examines the relationship between external climate and natural ventilation including thermal comfort. The work tries in the first instance...

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  • Agnieszka Landowska dr hab. inż.

    Ukończyła studia na dwóch kierunkach: Finanse i bankowość na Uniwersytecie Gdańskim oraz Informatyka na WETI Politechniki Gdańskiej. Od 2000 roku jest związana z Politechniką Gdańską. W 2006 roku uzyskała stopień doktora w dziedzinie nauk technicznych, a w roku 2019 stopień doktora habilitowanego. Aktualnie jej praca naukowa dotyczy zagadnień interakcji człowiek-komputer oraz informatyki afektywnej (ang. affective computing), która...

  • Edge-Computing based Secure E-learning Platforms

    Publikacja

    - Rok 2022

    Implementation of Information and Communication Technologies (ICT) in E-Learning environments have brought up dramatic changes in the current educational sector. Distance learning, online learning, and networked learning are few examples that promote educational interaction between students, lecturers and learning communities. Although being an efficient form of real learning resource, online electronic resources are subject to...

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  • Federated Learning in Healthcare Industry: Mammography Case Study

    The paper focuses on the role of federated learning in a healthcare environment. The experimental setup involved different healthcare providers, each with their datasets. A comparison was made between training a deep learning model using traditional methods, where all the data is stored in one place, and using federated learning, where the data is distributed among the workers. The experiment aimed to identify possible challenges...

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  • Speech Analytics Based on Machine Learning

    In this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...

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  • Shear band evolution phenomena in direct shear test modelled with DEM.

    Publikacja

    A direct shear test is widely used in the geotechnical engineering field. It is an easy and quick test to measure the shear properties of soil. This test often replaces more expensive and difficult tri-axial shear test. Despite that the direct shear test is known and used for a long time, it is still not well investigated at the grain scale. This paper deals with the micro behaviour of the cohesionless sand inside the direct shear...

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  • Software Factory project for enhancement of student experiential learning

    Publikacja

    - Rok 2019

    Providing opportunities for students to work on real-world software development projects for real customers is critical to prepare students for the IT industry. Such projects help students to understand what they will face in the industry and experience real customer interaction and challenges in collaborative work. To provide this opportunity in an academic environment and enhance the learning and multicultural teamwork experience,...

  • The use and development of e-learning systems in educational projects

    Publikacja

    - Rok 2014

    The article introduces the problem of usage and development of e-learning systems among Polish universities. Easily accessible internet and IT development led to changes in education. Through the use of IT tools, e-learning has become an increasingly popular form of education. Presently, majority of Polish universities use an e-learning system of their own choosing designed to support the didactic processes. The goal of the article...

  • Affective computing and affective learning – methods, tools and prospects

    Every teacher knows that interest, active participation and motivation are important factors in the learning process. At the same time e-learning environments almost always address only the cognitive aspects of education. This paper provides a brief review of methods used for affect recognition, representation and processing as well as investigates how these methods may be used to address affective aspect of e-education. The paper...

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  • Model of distributed learning objects repository for a heterogenic internet environment

    W artykule wprowadzono pojęcie komponentu edukacyjnego jako rozszerzenie obiektu edukacyjnego o elementy zachowania (metody). Zaproponowane podejście jest zgodne z paradygmatem obiektowym. W oparciu o komponent edukacyjny zaprojektowano model budowy repozytorium materiałów edukacyjnych. Model ten jest oparty o usługi sieciowe i rejestry UDDI. Komponent edukacyjny oraz model repozytorium mogą znaleźć zastosowanie w konstrukcji zbiorów...

  • Deep learning in the fog

    In the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of data that to be effectively analyzed, especially with neural networks, demands high...

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  • Blended-learning w nauczaniu przedmiotów nieinformatycznych

    Blended-learning jest coraz powszechniej wykorzystywany w nauczaniu przedmiotów informatycznych lub innych przedmiotów, w których ćwiczenia realizowane są w laboratoriach komputerowych. W przypadku przedmiotów bez dostępu do sal komputerowych, blended-learning wspomaga prowadzenie wykładów i ćwiczeń poprzez np. lekcje interaktywne. Artykuł opisuje zastosowanie form blended-learning w realizacji laboratoriów z przedmiotu Bezpieczeństwo...

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  • Interpretable deep learning approach for classification of breast cancer - a comparative analysis of multiple instance learning models

    Breast cancer is the most frequent female cancer. Its early diagnosis increases the chances of a complete cure for the patient. Suitably designed deep learning algorithms can be an excellent tool for quick screening analysis and support radiologists and oncologists in diagnosing breast cancer.The design of a deep learning-based system for automated breast cancer diagnosis is not easy due to the lack of annotated data, especially...

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  • Desiging e-learning courses and distance learning (level 1. certified course)

    Kursy Online
    • J. Mytnik
    • O. Ludyga

  • Blended Learning Tasks 2

    Kursy Online
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Mechanicznego

  • Blended Learning Tasks 6

    Kursy Online
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Architektury

  • Deep Learning w Keras

    Kursy Online
    • A. Karpus

    Kurs przeznaczony dla słuchaczy studiów podyplomowych Sztuczna inteligencja i automatyzacja procesów biznesowych w ujęciu praktycznym - edycja biznesowa.

  • Blended Learning Tasks 4

    Kursy Online
    • I. Mokwa-Tarnowska

  • Blended Learning Tasks 1

    Kursy Online
    • I. Mokwa-Tarnowska

    Kurs dla Wydziału Mechanicznego

  • Blended Learning Tasks 5

    Kursy Online
    • I. Mokwa-Tarnowska

    Kurs dla ETI

  • Blended Learning Tasks 3

    Kursy Online
    • I. Mokwa-Tarnowska

    Kurs dla WILiŚ

  • Modeling of Electrodynamic Phenomena in an Ultra-Rapid Inductive–Dynamic Actuator as Applied to Hybrid Short-Circuit Breakers - A Review Study

    Publikacja

    - ENERGIES - Rok 2022

    This article is a study of the research development of electrodynamic phenomena occurring in ultra-fast electrodynamic drives. These types of linear drives are among the fastest, not only because of the huge accelerations achieved, but, above all, because of the extremely short reaction time. For this reason, electrodynamic drives are used in hybrid short-circuit breakers. The phenomena occurring in this type of drive are actually...

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  • Affective Learning Manifesto – 10 Years Later

    Publikacja

    - Rok 2014

    In 2004 a group of affective computing researchers proclaimed a manifesto of affective learning that outlined the prospects and white spots of research at that time. Ten years passed by and affective computing developed many methods and tools for tracking human emotional states as well as models for affective systems construction. There are multiple examples of affective methods applications in Intelligent Tutoring Systems (ITS)....

  • Learning design of a blended course in technical writing

    Blending face-to-face classes with e-learning components can lead to a very successful outcome if the blend of approaches, methods, content, space, time, media and activities is carefully structured and approached from both the student’s and the tutor’s perspective. In order to blend synchronous and asynchronous e-learning activities with traditional ones, educators should make them inter-dependent and develop them according to...

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  • JOURNAL OF NATURAL PRODUCTS

    Czasopisma

    ISSN: 0163-3864 , eISSN: 1520-6025

  • Computer-assisted assessment of learning outcomes in the laboratory of metrology

    Publikacja

    - Rok 2015

    In the paper, didactic experience with broad and rapid continuous assessment of students’ knowledge, skills and competencies in the Laboratory of Metrology, which is an example of utilisation of assessment for learning, is presented. A learning management system was designed for manage, tracking, reporting of learning program and assessing learning outcomes. It has ability to provide with immediate feedback, which is used by the...

  • Chemical modifications of natural oils and examples of their usage for polyurethane synthesis

    Natural oils have been used in the production of plastics for a long time. However, the number of studies dedicated to polyurethane research has shown an increase only recently. Usually, petrochemical components are used in polyurethane synthesis. Nowadays, there have been attemptsmade to replace polyols in polyurethanes with the modified oils and other natural raw materials. It is a promising and important scenario because the...

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  • How Machine Learning Contributes to Solve Acoustical Problems

    Publikacja
    • M. A. Roch
    • P. Gerstoft
    • B. Kostek
    • Z. Michalopoulou

    - Journal of the Acoustical Society of America - Rok 2021

    Machine learning is the process of learning functional relationships between measured signals (called percepts in the artificial intelligence literature) and some output of interest. In some cases, we wish to learn very specific relationships from signals such as identifying the language of a speaker (e.g. Zissman, 1996) which has direct applications such as in call center routing or performing a music information retrieval task...

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  • Machine Learning in Multi-Agent Systems using Associative Arrays

    Publikacja

    - PARALLEL COMPUTING - Rok 2018

    In this paper, a new machine learning algorithm for multi-agent systems is introduced. The algorithm is based on associative arrays, thus it becomes less complex and more efficient substitute of artificial neural networks and Bayesian networks, which is confirmed by performance measurements. Implementation of machine learning algorithm in multi-agent system for aided design of selected control systems allowed to improve the performance...

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  • Natural sweeteners: Sources, extraction and current uses in foods and food industries

    Publikacja
    • R. Castro-Muñoz
    • M. Correa-Delgado
    • R. Córdova-Almeida
    • D. Lara-Nava
    • M. Chávez-Muñoz
    • V. F. Velásquez-Chávez
    • C. E. Hernández-Torres
    • E. Gontarek-Castro
    • M. Z. Ahmad

    - FOOD CHEMISTRY - Rok 2022

    Food producers have leaned towards alternative natural and synthetic sweeteners in food formulations to satisfy market demands. Even so, several synthetic sweeteners (e.g., aspartame, saccharin, sucralose) are becoming less popular due to health-related concerns, lower nutritional values, and controversies around their safety. Conversely, natural sweeteners confer favourable customer perceptions due to their association to a healthier...

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  • Self-Supervised Learning to Increase the Performance of Skin Lesion Classification

    To successfully train a deep neural network, a large amount of human-labeled data is required. Unfortunately, in many areas, collecting and labeling data is a difficult and tedious task. Several ways have been developed to mitigate the problem associated with the shortage of data, the most common of which is transfer learning. However, in many cases, the use of transfer learning as the only remedy is insufficient. In this study,...

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  • Degradation of polyurethanes in Compost Under Natural Conditions

    Publikacja
    • K. Krasowska
    • H. Janik
    • A. Gradys
    • M. Rutkowska

    - JOURNAL OF APPLIED POLYMER SCIENCE - Rok 2012

    The estimation of degradibility of different polyurethanes under natural weather depending conditions in compost pile was the subject of the studies. The incubation of polymer samples took place for a period up to 24 months. The characteristic parameters of the compost: temperature, pH, moisture content, and activity of dehydrogenasis were monitored and their influence on degradation of polyuiretahnes was discussed. The compostability...

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  • NATURAL DEEP EUTECTIC SOLVENTS IN EXTRACTION PROCESS

    Developing new, eco-friendly solvents which would meet technological and economic demands is perhaps the most popular aspects of Green Chemistry. Natural deep eutectic solvents (NADES) fully meet green chemistry principles. These solvents offer many advantages including biodegradability, low toxicity, sustainability, low costs and simple preparation. This paper provides an overview of knowledge regarding NADES with special emphasis...

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  • Mathematical Modelling of Natural Phenomena

    Czasopisma

    ISSN: 0973-5348 , eISSN: 1760-6101

  • The impact of natural fibers’ characteristics on mechanical properties of the cement composites

    The paper reviews the properties of cement composites reinforced with short fibres. The effect of natural fibres was investigated: cotton, sisal, jute, ramie, bamboo, and synthetic fibres: polymer and polypropylene. It was noticed that the fibres change the consistency of the mixture up to 15%. In the composite flexural strength tests, a change in strength by +/− 8% was observed, depending on the type of fibres used. The research...

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  • Heat transfer phenomena of glassy carbon foams

    Publikacja

    - CHEMICAL ENGINEERING RESEARCH & DESIGN - Rok 2019

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  • Influence of structural organization of silicas on interfacial phenomena

    Publikacja
    • V. Gun’ko
    • V. Turov
    • V. Zarko
    • E. Pakhlov
    • B. Charmas
    • J. Skubiszewska-Zięba
    • B. Charmas

    - Colloids and Surfaces A: Physicochemical and Engineering Aspects - Rok 2016

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  • Air flow phenomena in the model of the blind drift

    Publikacja

    - EPJ Web of Conferences - Rok 2016

    In the presented paper, Particle Image Velocimetry (PIV) has been used to investigate flow pattern and turbulent structure in the model of blind drift. The presented model exist in mining, and has been analyzed to resolve ventilation issues. Blind region is particularly susceptible to unsafe methane accumulation. The measurement system allows us to evaluate all components of the velocity vector in channel cross-section simultaneously....

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  • Oscillatory Phenomena in System with Bulk Luquid Membranes

    Publikacja

    Oscylatory z grubowarstwowymi membranami ciekłymi zawierające jonowe surfakanty mogą być użyte do modelowania zjawisk oscylacyjnych zachodzących w membranach biologicznych. Stwierdzono, że zmiany temperatury mają silny wpływ na charakterystyki oscylacyjne. Zmienia się częstotliwość oscylacji i ukazują się nowe piki w układach zawierających nitrometan. Zbadano wpływ składu faz wodnych (stężenie surfaktanta i alkoholu) oraz materiału...

  • Knowledge Base Suitable for Answering Questions in Natural Language

    This paper presents three knowledge bases widely used by researchers coping with natural language processing: OpenCyc, DBpedia and YAGO. They are characterized from the point of view of questions answering system. In this paper a short description of the aforementioned system implementation is also presented.

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  • Analysis of Learning Outcomes in Medical Education with the Use of Fuzzy Logic

    Publikacja

    The national curricula of the EU member states are structured around learning outcomes, selected according to Bloom’s Taxonomy. The authors of this paper claim that using Bloom’s Taxonomy to phrase learning outcomes in medical education in terms of students’ achievements is difficult and unclear. This paper presents an efficient method of assessing course learning outcomes using Fuzzy Logic.

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  • A novel architecture for e-learning knowledge assessment systems

    Publikacja

    In this paper we propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. Our research proved that such architecture, while well suited for didactic content distribution systems is ill-suited for knowledge assessment products....

  • A novel architecture for e-learning knowledge assessment systems

    Publikacja

    In this paper we propose a novel e-learning system, dedicated strictly to knowledge assessment tasks. In its functioning it utilizes web-based technologies, but its design differs radically from currently popular e-learning solutions which rely mostly on thin-client architecture. Our research proved that such architecture, while well suited for didactic content distribution systems is ill-suited for knowledge assessment products....

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  • Social Learning in Cluster Organizations and Accumulation of Technological Capability

    Publikacja

    - Inzinerine Ekonomika-Engineering Economics - Rok 2022

    The purpose of the paper is to present how members of cluster organizations perceive their role in the accumulation of technological capability through social learning. The paper presents the results of a qualitative study of four cluster organizations. The theoretical foundation of the study are the communities of practice and the organizational inertia theories. The study indicates that the dynamics of technological capability...

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