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Search results for: PROJECT BASED LEARNING
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Looking through the past: better knowledge retention for generative replay in continual learning
PublicationIn this work, we improve the generative replay in a continual learning setting to perform well on challenging scenarios. Because of the growing complexity of continual learning tasks, it is becoming more popular, to apply the generative replay technique in the feature space instead of image space. Nevertheless, such an approach does not come without limitations. In particular, we notice the degradation of the continually trained...
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Can Evaluation Patterns Enable End Users to Evaluate the Quality of an e-learning System? An Exploratory Study.
PublicationThis paper presents the results of an exploratory study whose main aim is to verify if the Pattern-Based (PB) inspection technique enables end users to perform reliable evaluation of e-learning systems in real work-related settings. The study involved 13 Polish and Italian participants, who did not have an HCI background, but used e-learning platforms for didactic and/or administrative purposes. The study revealed that the participants...
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Fianl report on carrying out tasks within the project Best Agers Lighthouses - strategic age management for SME in the Baltic Sea Region.
PublicationThe report presents the origin of the project, as well as its characteristics and aims. Project partners are workpackages are described and main project results are listed. the report is concluded with the part dedicated to dissemination measures carried out within the project
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Analysis of investment stages along with a construction project management project for an investment task regarding the reconstruction and expansion of the locomotor system rehabilitation center Krzeszowice SPZOZ in Poland
PublicationAutorzy: Gwóźdź-Lasoń Monika, Tkocz Sebastian.
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Organizational Wisdom: The Impact of Organizational Learning on the Absorptive Capacity of an Enterprise
PublicationPurpose: In this article, we analyze the concept of organizational wisdom, indicating its key elements and verifieng the relationships between them. Design/Methodology/Approach: The study was conducted at Vive Textile Recycling Sp. z o.o in Poland. Empirical data was collected from 138 managers using the PAPI technique. Structural equation modelling (SEM) was performed to test the research hypotheses. Additionally, the significance...
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Fast Machine-Learning-Enabled Size Reduction of Microwave Components Using Response Features
PublicationAchieving compact size has emerged as a key consideration in modern microwave design. While structural miniaturization can be accomplished through judicious circuit architecture selection, precise parameter tuning is equally vital to minimize physical dimensions while meeting stringent performance requirements for electrical characteristics. Due to the intricate nature of compact structures, global optimization is recommended,...
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WERYFIKACJA KONCEPCJI PRZEGUBÓW PLASTYCZNYCH PROJEKTOWANYCH NA ODZIAŁYWANIA SEJSMICZNE WIADUKTU V6 OBWODNICY ISTAMBUŁU
PublicationW pracy zawarto wyniki analiz betonowego wiaduktu V6 budowanego w ciągu obwodnicy Istambułu w Turcji realizowanego w ramach projektu Northern Marmara Highway. Przeprawę stanowią dwie niezależne nitki o skrzynkowym przekroju poprzecznym i szerokości 22,00 m. Schemat statyczny obiektu to belka dziewięcioprzęsłowa o długości całkowitej 446,86 m oparta na podporach słupowych o zmiennej sztywności (rys.1) i wysokościach zmieniających...
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Forewarned Is Forearmed: Machine Learning Algorithms for the Prediction of Catheter-Induced Coronary and Aortic Injuries
PublicationCatheter-induced dissections (CID) of coronary arteries and/or the aorta are among the most dangerous complications of percutaneous coronary procedures, yet the data on their risk factors are anecdotal. Logistic regression and five more advanced machine learning techniques were applied to determine the most significant predictors of dissection. Model performance comparison and feature importance ranking were evaluated. We identified...
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Optimizing Medical Personnel Speech Recognition Models Using Speech Synthesis and Reinforcement Learning
PublicationText-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons; TTS can help expand the data set. Speech can be synthesized by mimicking different accents, dialects, and speaking styles that may occur in a medical language. Reinforcement Learning (RL), in the...
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Arch. project Erasmus sem.3 i5
e-Learning Coursesarchitectural project sem.III and V Erasmus Group .
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Greencoin Project - open phase application dataset
Open Research DataThis dataset captures detailed transactional records of the Greencoin project, focusing on rewarding pro-environmental behavior in the Tricity region of Poland. It includes data on user interactions such as quiz completions, challenges, and other sustainable actions, with corresponding timestamps and wallet balances. This data supports research on gamification...
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Continuous learning as a method of raising qualifications – the perspective of workers, employers and training organizations
PublicationContinuous learning is discussed in strategic documents of Poland and the European Union. In Poland, the idea of continuous learning is not very popular. However, in the context of strong competition in the labour market and the progressive globalization processes, the skills issue takes on new meaning — both for employees and employers. In order to adapt skills to labour market needs it is necessary to conduct adequate studies...
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DNAffinity: a machine-learning approach to predict DNA binding affinities of transcription factors
PublicationWe present a physics-based machine learning approach to predict in vitro transcription factor binding affinities from structural and mechanical DNA properties directly derived from atomistic molecular dynamics simulations. The method is able to predict affinities obtained with techniques as different as uPBM, gcPBM and HT-SELEX with an excellent performance, much better than existing algorithms. Due to its nature, the method can...
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Extra-curricular project-oriented education in optoelectronics in the Faculty of Electronics, Telecommunications and Informatics at Gdańsk University of Technology, Poland
PublicationProject-oriented education constitutes a key part of the curriculum in the Faculty of Electronics, Telecommunications and Informatics of Gdańsk University of Technology (Gdańsk Tech), Poland. Students on the Engineer and Master of Science level studies take part in several projects, both individually and in teams. In addition to compulsory activities, students have the opportunity to take part in the activities of student scientific...
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Project management for the construction sector in the field of foundation of buildings in complex conditions of the subsoil
PublicationAutorzy: Gwóźdź-Lasoń Monika, Kohutek...
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Arch./Urban Project II
e-Learning CoursesA design studio focused on issues related to the creation of sustainable and climate-responsible facilities. The design task is related to the concept of development of the Gdańsk University of Technology campus. The implemented project will be both a task related to urban and architectural design. A very important element of the design process will be a smooth transition between various scales and problems that architects and...
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Machine learning for the management of biochar yield and properties of biomass sources for sustainable energy
PublicationBiochar 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,...
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REVITALIZATION PROJECT OF SLUM TRANSFORMATION: A CASE STUDY HAY-AL TANAK,BEIRUT,LEBANON
PublicationSlums are global phenomena that exist as a solution for those who couldn’t afford a house. This phenomenon is growing accompanying the rapid urbanization and the growth of the urban population, three-quarter of the world population anticipated to live in an urban environment by 2050 (Avis, 2016, p. 57). This paper reviews slum's evaluation of the revitalization project for one of the poorest slums in Beirut called Hay-Al Tanak....
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Smart Cities System Design Method Based on Case Based Reasoning
PublicationThe objective of this paper is to present the results of research carried out to develop a design method for Smart Cities systems. The method is based on the analysis of design cases of Smart Cities systems in cities, the selection of the city appropriate to the requirements for implementation and application. The Case Based Reasoning method was used to develop the proposed design methodology, along with mechanisms of the conversion...
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Evidence-Based Practice
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Evidence-based nursing
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Evidence Based Midwifery
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Evidence-based dentistry
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Evidence-Based Medicine
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Intelligence-Based Medicine
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Multimedia industrial and medical applications supported by machine learning
PublicationThis article outlines a keynote paper presented at the Intelligent DecisionTechnologies conference providing a part of the KES Multi-theme Conference “Smart Digital Futures” organized in Rome on June 14–16, 2023. It briefly discusses projects related to traffic control using developed intelligent traffic signs and diagnosing the health of wind turbine mechanisms and multimodal biometric authentication for banking branches to provide...
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Elective Project - Project, City, and Society
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Position Estimation in Mixed Indoor-Outdoor Environment Using Signals of Opportunity and Deep Learning Approach
PublicationTo improve the user's localization estimation in indoor and outdoor environment a novel radiolocalization system using deep learning dedicated to work both in indoor and outdoor environment is proposed. It is based on the radio signatures using radio signals of opportunity from LTE an WiFi networks. The measurements of channel state estimators from LTE network and from WiFi network are taken by using the developed application....
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Work and formal retirement age - opinions of SWE employees participating in the Best Agers Lighthouses International Project
PublicationThe paper presents selected results of studies carried out within the framework of the international project Best Agers Lighthouses – Strategic Age Management for SME in the Baltic Sea Region, related to the assessment of the opportunities to continue working beyond the retirement age in the opinion of workers.
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Elective Project II (Erasmus) sem. 6
e-Learning CoursesThe elective project II class is dedicated to daylight analysis within the built environment.
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Team project I (2020/21)
e-Learning CoursesWithin this team project, students will be designing a space mission. Each student will choose a subsystem: mission analysis, propulsion, communication, structure, mechanisms, power, thermal, onboard data handling. Together, by means of concurrent engineering a primary system definition will be completed.
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Further development of the poroelastic road surface within the new Polish project SEPOR
PublicationRoad surfaces have a direct impact on noise generated by rolling tyres, the main and dominant source of noise of moving vehicles. Road surface texture, porosity and stiffness/elasticity govern the pavement contribution to tyre/road noise the most. An experimental PoroElastic Road Surface (PERS) is a wearing course with a high content of interconnected voids (pores) and with an elastic behavior due to the use of small particles...
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Computational Analysis of Transformational Organisational Change with Focus on Organisational Culture and Organisational Learning: An Adaptive Dynamical Systems Modeling Approach
PublicationTransformative Organisational Change becomes more and more significant both practically and academically, especially in the context of organisational culture and learning. However computational modeling and formalization of organisational change and learning processes are still largely unexplored. This chapter aims to provide an adaptive network model of transformative organisational change and translate a selection of organisational...
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Introductory CDIO Project [Energy Technologies][2021/22]
e-Learning CoursesDesign of complete prototype of Simple electronic circuit (DC-DC converter) with control based on integrated circuit.
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Introductory CDIO Project [Energy Technologies][2021/22]
e-Learning CoursesDesign of complete prototype of Simple electronic circuit (DC-DC converter) with control based on integrated circuit.
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GeoSPAR Project. Validation and selection methods of geoinformation analysis using GIS for ranking and forecasting of terrorist threats and criminal events
PublicationThe paper presents the description of work activities which have already been done within the first two stages – WorkPackage 1 and WorkPackage 2 - of the GeoSPAR Project. In such a context the general conceptual design of the GIS system and associate web service was presented and analysed. In addition, the operational and technical requirements for the GeoSPAR system have been specified and discussed; with special emphasis on system...
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Stakeholder identification as a determinant of sustainable project management
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Simulation model for resource-constrained construction project
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Review of EuCARD project on accelerator infrastructure in Europe
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Identifying Software Project Risks with the Process Model.
PublicationArtykuł prezentuje podejście do identyfikacji ryzyka w projektach informatycznych oparte na modelowaniu procesów. Podejście obejmuje jawne modelowanie procesów programowych oraz identyfikację ryzyka dwoma dedykowanymi technikami. Artykuł wprowadza meta-model dla wyrażenia ryzyka procesu. Następnie szczegółowo przedstawiono dwie systematyczne techniki identyfikacji ryzyka odwołujące się do modelu procesu i skupiające uwagę analityka...
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Project DESYME - development system for mobile services
PublicationPrzedstawiono cele, aspekty techniczne i strukturę programu europejskiego DESYME. Przeanalizowano aktualny stan techniki i trudności, na jakie napotykają podmioty usiłujące wykorzystać techniki mobilne w swych przedsięwzięciach. Przedstawiono potencjalne korzyści płynące z implementacji w tych warunkach wyników projektu DESYME. Skrótowo przedstawiono architekturę proponowanych rozwiązań oraz wykorzystywane techniki. Przedstawiono...
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A method of software project risk identyfication and analysis
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SkinDepth - synthetic 3D skin lesion database
Open Research DataSkinDepth is the first synthetic 3D skin lesion database. The release of SkinDepth dataset intends to contribute to the development of algorithms for:
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Research project I (February 2024)
e-Learning CoursesThis is the course for English-speaking students of Research project I. Access code: KSiSR2024 If you have some problem with access to the course please sent me e-mail to: slagaj@eti.pg.edu.pl (give me the name and your id number).
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A machine learning approach to classifying New York Heart Association (NYHA) heart failure
PublicationAccording to the European Society of Cardiology, globally the number of patients with heart failure nearly doubled from 33.5 million in 1990 to 64.3 million in 2017, and is further projected to increase dramatically in this decade, still remaining a leading cause of morbidity and mortality. One of the most frequently applied heart failure classification systems that physicians use is the New York Heart Association (NYHA) Functional...
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Speed estimation of a car at impact with a W-beam guardrail using numerical simulations and machine learning
PublicationThis paper aimed at developing a new method of estimating the impact speed of a passenger car at the moment of a crash into a W-beam road safety barrier. The determination of such a speed based on the accident outcomes is demanding, because often there is no access to full accident data. However, accurate determination of the impact speed is one of the key elements in the reconstruction of road accidents. A machine learning algorithm...
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Computational Simulation of the Effects of Different Culture Types and Leader Qualities on Mistake Handling and Organisational Learning
PublicationThis chapter investigates computationally the following research hypotheses: (1) Higher flexibility and discretion in organisational culture results in better mistake management and thus better organisational learning, (2) Effective organisational learning requires a transformational leader to have both high social and formal status and consistency, and (3) Company culture and leader’s behavior must align for the best learning...
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Deep learning-enabled integration of renewable energy sources through photovoltaics in buildings
PublicationInstalling photovoltaic (PV) systems in buildings is one of the most effective strategies for achieving sustainable energy goals and reducing carbon emissions. However, the requirement for efficient energy management, the fluctuating energy demands, and the intermittent nature of solar power are a few of the obstacles to the seamless integration of PV systems into buildings. These complexities surpass the capabilities of rule-based...
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Water Reuse - project 2022/2023
e-Learning Coursesw ramach tego kursu przekazywane są informacje związane z projektem prowadzonym przez Alinę Wargin. Kierownikiem przedmiotu jest prof. Krzysztof Czerwionka. This course provides information related to the project led by Alina Wargin. The head of the subject is prof. Krzysztof Czerwionka.
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Water Reuse - project 2023/2024
e-Learning Coursesw ramach tego kursu przekazywane są informacje związane z projektem prowadzonym przez Alinę Wargin. Kierownikiem przedmiotu jest prof. Krzysztof Czerwionka. This course provides information related to the project led by Alina Wargin. The head of the subject is prof. Krzysztof Czerwionka.