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Search results for: PROJECT BASED LEARNING
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Kaja Kalinowska dr inż.
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Platelet RNA Sequencing Data Through the Lens of Machine Learning
PublicationLiquid biopsies offer minimally invasive diagnosis and monitoring of cancer disease. This biosource is often analyzed using sequencing, which generates highly complex data that can be used using machine learning tools. Nevertheless, validating the clinical applications of such methods is challenging. It requires: (a) using data from many patients; (b) verifying potential bias concerning sample collection; and (c) adding interpretability...
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Arch./Urban Project II - 23/24
e-Learning CoursesProject of the Pavilion for the Faculty of Architecture of the Gdańsk University of Technology on the University Campus - Student Competition dr eng.architect Marek Gawdzik
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Urban Design Project III 2023/24
e-Learning Courses# 15-minute CITY ... Gdynia MaŁy Kack The topic of the course will introduce the issues of building a neighborhood identity in the form of densification development. The interdisciplinary team of instructors will introduce the issues of shaping urban structures based on contemporary trends in urban design.
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Variable Resolution Machine Learning Optimization of Antennas Using Global Sensitivity Analysis
PublicationThe significance of rigorous optimization techniques in antenna engineering has grown significantly in recent years. For many design tasks, parameter tuning must be conducted globally, presenting a challenge due to associated computational costs. The popular bio-inspired routines often necessitate thousands of merit function calls to converge, generating prohibitive expenses whenever the design process relies on electromagnetic...
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Love your mistakes!—they help you adapt to change. How do knowledge, collaboration and learning cultures foster organizational intelligence?
PublicationPurpose: The study aims to determine how the acceptance of mistakes is related to adaptability to change in a broad organizational context. Therefore it explores how knowledge, collaboration, and learning culture (including “acceptance of mistakes”) might help organizations overcome their resistance to change. Methodology: The study uses two sample groups: students aged 18–24 (330 cases) and employees aged >24 (326 cases) who work...
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Technology-Enhanced Environmental Learning: Co-design of Educational Mobile Application Case
PublicationThe process of co-creating an educational mobile application to support environmentally friendly behavior is presented in this paper. The research material consisted of quantitative data collected on the application during the first testing phase by early adopters. The results suggest that the most frequently used features of the app were related to transport and educational activities. While women tended to split their time between...
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The effects of relational and psychological capital on work engagement: the mediation of learning goal orientation
PublicationPurpose – This paper proposes a research model in which learning goal orientation (LGO) mediates the impacts of relational capital and psychological capital (PsyCap) on work engagement. Design/methodology/approach – Data obtained from 475 managers and employees in the manufacturing and service industries in Poland were utilized to assess the linkages given above. Common method variance was controlled by the unmeasured latent method...
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Unsupervised Learning for Biomechanical Data Using Self-organising Maps, an Approach for Temporomandibular Joint Analysis
PublicationWe proposed to apply a specific machine learning technique called Self-Organising Maps (SOM) to identify similarities in the performance of muscles around human temporomandibular joint (TMJ). The performance was assessed by measuring muscle activation with the use of surface electromyography (sEMG). SOM algorithm used in the study was able to find clusters of data in sEMG test results. The SOM analysis was based on processed sEMG...
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Unsupervised machine-learning classification of electrophysiologically active electrodes during human cognitive task performance
PublicationIdentification of active electrodes that record task-relevant neurophysiological activity is needed for clinical and industrial applications as well as for investigating brain functions. We developed an unsupervised, fully automated approach to classify active electrodes showing event-related intracranial EEG (iEEG) responses from 115 patients performing a free recall verbal memory task. Our approach employed new interpretable...
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Projektowanie zajęć prowadzonych na odległość (10h e-learning)
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Koło naukowe CJO - Tech-Enhanced English Learning (TEEL)
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Automated detection of pronunciation errors in non-native English speech employing deep learning
PublicationDespite significant advances in recent years, the existing Computer-Assisted Pronunciation Training (CAPT) methods detect pronunciation errors with a relatively low accuracy (precision of 60% at 40%-80% recall). This Ph.D. work proposes novel deep learning methods for detecting pronunciation errors in non-native (L2) English speech, outperforming the state-of-the-art method in AUC metric (Area under the Curve) by 41%, i.e., from...
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Knowledge-based performance-driven modeling of antenna structures
PublicationThe importance of surrogate modeling techniques in the design of modern antenna systems has been continuously growing over the recent years. This phenomenon is a matter of practical necessity rather than simply a fashion. On the one hand, antenna design procedures rely on full-wave electromagnetic (EM) simulation tools. On the other hand, the computational costs incurred by repetitive EM analyses involved in solving common tasks...
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WP1 of INDECT Project: Intelligent Monitoring and Automatic Detection of Threats
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Acoustics of concert hall at academy of music in Gdańsk, project and realization
PublicationArtykuł opisuje właściwości akustyczne sali koncertowej Akademii Muzycznej w Gdańsku, ukończonej w roku 2007. Przedstawiono zalecenia akustyczne do projektu architektonicznego w zakresie akustyki budowlanej i akustyki wnętrz. Podano wyniki pomiarów akustycznych na kolejnych etapach realizacji obiektu.
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INNOVATIVE TRAINING IN BSR – THE AIMS AND TASKS IN MASTER BSR PROJECT
PublicationThe MASTER BSR project’s idea and aims are presented. Moreover, Partners in MASTER BSR are listed and Gdansk University of Technology’ tasks in MASTER BSR are presented.
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A survey on network resiliency methodologies against weather-based disruptions
PublicationDue to the increasing dependence on network services of our society, research has recently been concentrating on enhancing traditional protection strategies to withstand large-scale failures, as in case of disaster events. The recently-formed EU-funded RECODIS project aims at coordinating and fostering research collaboration in Europe on disaster resiliency in communication networks. In particular, the Working Group (WG) 2 of the...
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Worldviews on Evidence-Based Nursing
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Journal of Evidence-Based Psychotherapies
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Bio-based and Applied Economics
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Evidence-Based Mental Health
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Journal of Location Based Services
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Evidence Based Care Journal
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Journal of Evidence-Based Medicine
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Journal of Gender-Based Violence
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BMJ Evidence-Based Medicine
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AUTOMATIC LEARNING OF STRATEGY AND RULES IN CARD GAMES USING IMAGE FROM CAMERA
PublicationBelow work tries to answer a question: if it is possible to replace real human with computer system in social games. As a subject for experiments, card games were chosen, because they require a lot of player interaction (playing and taking cards), while their rules are easy to present in form of clear list of statements. Such a system, should allow real players to play without constant worrying about guiding or helping computer...
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Classifying Emotions in Film Music - A Deep Learning Approach
PublicationThe paper presents an application for automatically classifying emotions in film music. A model of emotions is proposed, which is also associated with colors. The model created has nine emotional states, to which colors are assigned according to the color theory in film. Subjective tests are carried out to check the correctness of the assumptions behind the adopted emotion model. For that purpose, a statistical analysis of the...
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An agent-based approach to ANN training
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Prediction of fracture toughness in fibre-reinforced concrete, mortar, and rocks using various Machine learning techniques
PublicationMachine Learning (ML) method is widely used in engineering applications such as fracture mechanics. In this study, twenty different ML algorithms were employed and compared for the prediction of the fracture toughness and fracture load in modes I, II, and mixed-mode (I-II) of various materials, including fibre-reinforced concrete, cement mortar, sandstone, white travertine, marble, and granite. A set of 401 specimens of “Brazilian...
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ROYAL CHAPEL IN GDANSK. STUDY OF FACILITY INVENTORY WITH THE USAGE OF LASER SCANNING WITHIN THE FRAMES OF STUDENT PROJECT
PublicationThis article presents the photogrammetric works carried out during the architectural inventory of the Royal Chapel in the Main Town of Gdansk (Poland). The facility has the status of a monument of architecture and since decades it is covered by geodetic monitoring, realized with the participation of the Department of Geodesy of Faculty of Civil and Environmental Engineering of Gdańsk University of Technology . For several years,...
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Michał Lech dr inż.
PeopleMichał Lech was born in Gdynia in 1983. In 2007 he graduated from the faculty of Electronics, Telecommunications and Informatics of Gdansk University of Technology. In June 2013, he received his Ph.D. degree. The subject of the dissertation was: “A Method and Algorithms for Controlling the Sound Mixing Processes by Hand Gestures Recognized Using Computer Vision”. The main focus of the thesis was the bias of audio perception caused...
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Agile Project Management
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Architectural project III
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Final Project BiM
e-Learning CoursesThis course pertains to the final thesis that you students prepare and defend to obtain the bachelor's degree.
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Research Project Management_InterPhDII
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Project Management 2024
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23/24_S8_Diploma project
e-Learning CoursesThe course for Engineering Diploma Students in English Group
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System Diagnostics - project
e-Learning CoursesAs part of the course, students prepare practical solutions to problems in the field of modern systems diagnostics. Studies: Automatic Control, Cybernetics and RoboticsLevel: IILecturer: dr inż. Mariusz Domżalski Time: Tuesday, 11:15AM Language: English
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MACHINE LEARNING SYSTEM FOR AUTOMATED BLOOD SMEAR ANALYSIS
PublicationIn this paper the authors propose a decision support system for automatic blood smear analysis based on microscopic images. The images are pre-processed in order to remove irrelevant elements and to enhance the most important ones - the healthy blood cells (erythrocytes) and the pathologic (echinocytes). The separated blood cells are analyzed in terms of their most important features by the eigenfaces method. The features are the...
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Group project (NT2-eng. sem.3) - 2023
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, sem. 3. The aim of the course is to prepare students for teamwork by implementing a project involving the analysis of the problem by the team, presenting a proposal to solve the problem, conducting research/tests and preparing a report.
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How does the Relationship Between the Mistakes Acceptance Component of Learning Culture and Tacit Knowledge-Sharing Drive Organizational Agility? Risk as a Moderator
PublicationChanges in the business context create the need to adjust organizational knowledge to new contexts to enable the organizational agile responses to secure competitiveness. Tacit knowledge is strongly contextual. This study is based on the assumption that business context determines tacit knowledge creation and acquisition, and thanks to this, the tacit knowledge-sharing processes support agility. Therefore, this study aims to expose...
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Architectural project I 2024/25
e-Learning CoursesOur course aims to teach you the basics how to design architecture. The process of architectural design is not only about function and construction. It is about creating an original form with individual features and beauty that will become a meaningful part of our environment. Our course in architectural design is based on the connection with ART. We follow the tradition of the famous Bauhaus school, where architects and artists...
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Impacts on human health in the Arctic owing to climate-induced changes in contaminant cycling – The EU ArcRisk project policy outcome
PublicationResults of the EU ArcRisk project on human health impacts in the Arctic owing to climate-induced changes in contaminant cycling are summarized in the context of their policy application. The question on how will climate change affect the transport of selected persistent organic pollutants (POPs) and mercury, both to and within the Arctic has been addressed, as well as the issue of human health impacts of these pollutants in the...
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Optical method supported by machine learning for dynamics of C‐reactive protein concentrations changes detection in biological matrix samples
PublicationIn 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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Machine-learning methods for estimating compressive strength of high-performance alkali-activated concrete
PublicationHigh-performance alkali-activated concrete (HP-AAC) is acknowledged as a cementless and environmentally friendly material. It has recently received a substantial amount of interest not only due to the potential it has for being used instead of ordinary concrete but also owing to the concerns associated with climate change, sustainability, reduction of CO2 emissions, and energy consumption. The characteristics and amounts of the...
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Iterative learning approach to active noise control of highly autocorrelated signals with applications to machinery noise
PublicationThis paper discusses the design and application of iterative learning control (ILC) and repetitive control (RC) for high modal density systems. Typical examples of these systems are structural and acoustical systems considered in active structural acoustic control (ASAC) and active noise control (ANC) applications. The application of traditional ILC and RC design techniques, which are based on a parametric system model, on systems...
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Deep Learning Optimization for Edge Devices: Analysis of Training Quantization Parameters
PublicationThis paper focuses on convolution neural network quantization problem. The quantization has a distinct stage of data conversion from floating-point into integer-point numbers. In general, the process of quantization is associated with the reduction of the matrix dimension via limited precision of the numbers. However, the training and inference stages of deep learning neural network are limited by the space of the memory and a...
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Group project (NT2-eng. sem.3) - 2022
e-Learning CoursesCourse for 2nd degree Students of Nanotechnology, sem. 3, academic year 2022/2023. The aim of the course is to prepare students for teamwork by implementing a project involving the analysis of the problem by the team, presenting a proposal to solve the problem, conducting research/tests and preparing a report.