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Optimizing Control of Wastewater Treatment Plant With Reinforcement Learning: Technical Evaluation of Twin-Delayed Deep Deterministic Policy Gradient Agent
PublicationControl of the wastewater treatment processes presents significant challenges due to the fluctuating nature of inflow and wastewater composition, alongside the system’s non-linear dynamics. Traditional control methods struggle to adapt to these variations, leading to an economically suboptimal operation of the process and a violation of norms imposed on the quality of wastewater discharged to the catchment area. This study proposes...
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Data-Driven Surrogate-Assisted Optimization of Metamaterial-Based Filtenna Using Deep Learning
PublicationIn this work, a computationally efficient method based on data driven surrogate models is pro-posed for the design optimization procedure of a Frequency Selective Surface (FSS)-based filtering antenna (Filtenna). A Filtenna acts as a as module that simultaneously pre-filters unwanted sig-nals, and enhances the desired signals at the operating frequency. However, due to a typically large number of design variables of FSS unit elements,...
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Anna Soczyńska, Polish course, sem.3, 24/25
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Joanna Czerska dr inż.
PeopleI am a woman whose mission and passion is the development of people and organizations. My motto is: "There is no such fantasy that human will and reason cannot transform into reality." William Shakespeare In my life I am guided by the values of respect, teamwork and a positive attitude. They define me and decide what kind of person I am. My adventure with Lean began when I was writing my diploma thesis during my studies at WZiE...
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Machine learning-based seismic fragility and seismic vulnerability assessment of reinforced concrete structures
PublicationMany studies have been performed to put quantifying uncertainties into the seismic risk assessment of reinforced concrete (RC) buildings. This paper provides a risk-assessment support tool for purpose of retrofitting and potential design strategies of RC buildings. Machine Learning (ML) algorithms were developed in Python software by innovative methods of hyperparameter optimization, such as halving search, grid search, random...
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Detection of circulating tumor cells by means of machine learning using Smart-Seq2 sequencing
PublicationCirculating tumor cells (CTCs) are tumor cells that separate from the solid tumor and enter the bloodstream, which can cause metastasis. Detection and enumeration of CTCs show promising potential as a predictor for prognosis in cancer patients. Furthermore, single-cells sequencing is a technique that provides genetic information from individual cells and allows to classify them precisely and reliably. Sequencing data typically...
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Degradowalne poli(estrouretany) z cykloalifatycznego diizocyjanianu i kopoliestrodioli z L-laktydu i poli(E-kaprolaktono)diolu
PublicationOpisano syntezę liniowych poli(estrouretanów) (PESU) z 4,4´-diizocyjanianudicykloheksylenometanu, 1,4-butanodiolu i kopoliestrodioli z L-laktydu (LA)i poli(E-kaprolaktono)diolu (PCL, Mn 560g/mol). Kopoliestrodiole o Mn 760,1250 i 3390 g/mol otrzymano przy trzech stosunkach masowych PLA i PCL w obecności oktanianu Sn(II). PESU otrzymane przy różnych stosunkach molowych komponentów scharakteryzowano przez pomiary twardości, wytrzymałości...
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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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BADANIA EWALUACYJNE TRANZYSTORA 650 V E-HEMT GAN DO ZASTOSOWAŃW WYSOKOSPRAWNYCH PRZEKSZTAŁTNIKACH DC/DC
PublicationTematem artykułu są badania wysokonapięciowegotranzystora z azotku galu typu E-HEMT w aplikacji przekształtnikaobniżającego napięcie typu buck. W pracy przedstawiono krótkącharakterystykę i zalety półprzewodników szerokoprzerwowych,a także opis tranzystora GS66508P-E03 w obudowie do montażupowierzchniowego (SMD). Następnie poruszono problemchłodzenia łącznika mocy SMD i przeprowadzono badanieporównawcze dwóch układów chłodzenia....
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Electrophoretically Deposited Chitosan/Eudragit E 100/AgNPs Composite Coatings on Titanium Substrate as a Silver Release System
PublicationDue to the possibility of bacterial infections occurring around peri-implant tissues, it is necessary to provide implant coatings that release antibacterial substances. The scientific goal of this paper was to produce by electrophoretic deposition (EPD) a smart, chitosan/Eudragit E 100/silver nanoparticles (chit/EE100/AgNPs) composite coating on the surface of titanium grade 2 using different deposition parameters, such as the...
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Multimodal learning application with interactive animated character. [Multimodalna aplikacja edukacyjna wykorzystująca interaktywną animowaną postać]
PublicationThe aim of this study is to design a computer application that may assist teachers and therapists in multimodal manner in their work with impaired or disabled children. The application can be operated in many different ways, giving to a child with special educational needs a possibility to learn and train many skills or treat speech disorders. The main stress in this research is on the creation of animated character that will serve...
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Relationships between concentrations of selected organohalogen contaminants and thyroid hormones and vitamins A, E and D in Faroese pilot whales
PublicationPilot whales (Globicephala melas) from the Faroe Islands, North-East Atlantic, have high body concentrations of organohalogenated compounds (OHCs), such as polychlorinated biphenyls (PCBs), organochlorinated pesticides (OCPs) and brominated flame retardants (BFRs). The aim of the present study was to examine if and to what extent blood plasma and liver concentrations of several groups of these OHCs are related to concentrations...
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Zastosowanie aplikacji internetowych i e-learningu w zarządzaniu kompetencjami: studium przypadku.
PublicationCel. Integracja efektywnego zarządzania procesami pracy i wykorzystania potencjału zasobów ludzkich warunkuje rozwój organizacji. Jest to szczególnie istotne w organizacjach publicznych, w których wyniki pracy nie zawsze są zgodne z oczekiwanymi standardami. Prezentowana praca stanowi studium przypadku zarządzania kompetencjami w administracji publicznej z wykorzystaniem narzędzi informatycznych na przykładzie polskiej Policji. Metoda....
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Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models
PublicationHigh-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...
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Machine-Learning Methods for Estimating Performance of Structural Concrete Members Reinforced with Fiber-Reinforced Polymers
PublicationIn recent years, fiber-reinforced polymers (FRP) in reinforced concrete (RC) members have gained significant attention due to their exceptional properties, including lightweight construction, high specific strength, and stiffness. These attributes have found application in structures, infrastructures, wind power equipment, and various advanced civil products. However, the production process and the extensive testing required for...
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Nephrotic syndrome unfavorable course correlates with downregulation of podocyte vascular endothelial growth factor receptor (VEGFR)-2
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Modelling of Ship’s Heeling and Rolling for the Purpose of Gantry Control Improvement in the Course of Cargo Handling Operations in Sea Ports
PublicationThe paper presents two proposals of models of interaction between a ship and cargo being loaded or discharged by a gantry in port, in terms of heeling and rolling of the vessel. The main purpose of such modelling is the need for improvement of gantry control with regard to faster operations thanks to more accurate estimation of level and moment of cargo release from a gantry hook or spreader. The study may be the contribution to...
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Learning Communities-International Journal of Learning in Social Contexts
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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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Performance Analysis of Machine Learning Methods with Class Imbalance Problem in Android Malware Detection
PublicationDue to the exponential rise of mobile technology, a slew of new mobile security concerns has surfaced recently. To address the hazards connected with malware, many approaches have been developed. Signature-based detection is the most widely used approach for detecting Android malware. This approach has the disadvantage of being unable to identify unknown malware. As a result of this issue, machine learning (ML) for detecting malware...
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Effects of Surface Pretreatment of Titanium Substrates on Properties of Electrophoretically Deposited Biopolymer Chitosan/Eudragit E 100 Coatings
PublicationThe preparation of the metal surface before coating application is fundamental in determining the properties of the coatings, particularly the roughness, adhesion, and corrosion resistance. In this work, chitosan/Eudragit E 100 (chit/EE100) were fabricated by electrophoretic deposition (EPD) and both their microstructure and properties were investigated. The present research is aimed at characterizing the effects of the surface...
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Projektowanie i budowa elektroenergetycznych linii kablowych w aspekcie założeń nowelizowanej normy pn-76/e-05125.
PublicationCelem niniejszego referatu jest próba odpowiedzi na najczęstsze uwagi i opinie otrzymane w wyniku dyskusji nad nowelizowaną normą PN-76/E-05125 " Elektroenergetyczne i sygnalizacyjne linie kablowe. Projektowanie i budowa. " oraz na uwagi wynikające z analizy rozwiązań stosowanych w praktyce i prezentowanych na konferencjach krajowych z zakresu techniki kablowej.W dalszej części referatu w skróconej formie przedstawiono...
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Poziom rozwoju e-administracji w Polsce w ujęciu regionalnym: ocena i wnioski dla dalszych działań
PublicationGłównym celem artykułu jest ocena porównawcza stanu wdrożenia elektronicznej administracji w poszczególnych województwach Polski. Aby zrealizować ten cel stworzono ranking osiągnięć poszczególnych województw na podstawie wyników benchmarkingu systemów informatycznych jednostek administracji samorządowej. W dalszej części pracy otrzymane wyniki zostały porównane z innymi aktualnymi badaniami krajowymi z tego zakresu. Przeanalizowanie...
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Deep-Learning-Based Precise Characterization of Microwave Transistors Using Fully-Automated Regression Surrogates
PublicationAccurate models of scattering and noise parameters of transistors are instrumental in facilitating design procedures of microwave devices such as low-noise amplifiers. Yet, data-driven modeling of transistors is a challenging endeavor due to complex relationships between transistor characteristics and its designable parameters, biasing conditions, and frequency. Artificial neural network (ANN)-based methods, including deep learning...
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Project-Based Learning as a Method for Interdisciplinary Adaptation to Climate Change—Reda Valley Case Study
PublicationThe challenges of the global labour market require university authorities to extend traditional forms of education into more innovative and effective solutions. Project-based learning (PjBL) is one of highly effective methods for acquiring knowledge and teaching “soft” skills to future employees. This article describes an experimental use of PjBL at a university with a long history of teaching based on traditional methods—the Gdansk...
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e-Technologie w Kształceniu Inżynierów
EventsPolitechnika Gdańska i Akademia Górniczo-Hutnicza organizują VI Krajową Konferencję "e-Technologie w Kształceniu Inżynierów”. Celem konferencji jest popularyzacja najnowszych technologii w edukacji inżynierskiej.
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Anna Soczyńska, Polish course for Erasmus, Thursday, 23/24z
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Elective course: Daylight sem 4 and 6 23/24
e-Learning CoursesThe elective project class is dedicated to daylight analysis within the built environment.
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Comparative analysis of mRNA transcripts of HT-29 cell line expressed in identical quantities for pathogenic E. coli strains UM146 and UM147 with control Escherichia coli Nissle 1917
PublicationAim of study was comparative analysis of mRNA transcripts of HT-29 cell line, expressed in identical quantities for the combination of pathogenic and non-pathogenic Escherichia coli strains. HT-29 confluent monolayers infection with two pathogenic E. coli strains UM146 and UM147 resulted in two sets of mRNA transcripts that were identical with RNA transcripts obtained for non-pathogenic one strain E. coli Nissle 1917. In this study...
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Olgun Aydin dr
PeopleOlgun Aydin finished his PhD by publishing a thesis about Deep Neural Networks. He works as a Principal Machine Learning Engineer in Nike, and works as Assistant Professor in Gdansk University of Technology in Poland. Dr. Aydin is part of editorial board of "Journal of Artificial Intelligence and Data Science" Dr. Aydin served as Vice-Chairman of Why R? Foundation and is member of Polish Artificial Intelligence Society. Olgun is...
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Comprehensive determination of flavouring additives and nicotine in e-cigarette refill solutions. Part I: Liquid chromatography-tandem mass spectrometry analysis
PublicationLiquid chromatography-tandem mass spectrometry with electrospray ionization (HPLC-ESI–MS/MS) methods were developed for the simultaneous determination of 42 flavouring compounds and nicotine in liquids for e-cigarettes. The chromatographic separation was performed using an Ace® Ultracore™ SuperC18™ (100 × 2.1 mm, 2.5 μm) column in both acidic and alkaline pH conditions to separate all the compounds. A simple “dilute & shoot” approach...
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Wskaźnik siły nabywczej w zmieniającym się otoczeniu walutowym firm sektora MSP podejmujących międzynarodową działalność e-commerce
PublicationTechnologia E-Commerce znacząco ułatwiła firmom sektora MSP możliwość zaistnienia i prowadzenia działalności na rynkach zagranicznych. Stworzyło to nowe szanse, ale wprowadziło również nowe ryzyka do działalności, w tym w zakresie zmian koniunkturalnych oraz kursów walutowych. Niniejszy tekst przedstawia koncepcję prostych wskaźników walutowych, mających na celu szybką ocenę zmian atrakcyjności rynków zagranicznych wynikających...
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Analiza prawna i ekonomiczna barier utrudniających konsumentom e-zakupy w krajach Unii Europejskiej
PublicationZidentyfikowanie barier e-handlu transgranicznego ma na celu możliwe jak najszybsze i najefektywniejsze zlikwidowanie ich przez odpowiednie instytucje, za pomocą dostępnych środków. Ma to służyć pełniejszej ingerencji oraz rozwojowi zintegrowanego wewnętrznego rynku w ramach UE, przynoszącego korzyści nie tylko gospodarce, ale przede wszystkim konsumentom. Konsumentom, którzy mając szansę wyboru będą mogli zdecydować, która ofera...
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Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data
PublicationWetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...
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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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Mathematical Thinking and Learning
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Animal Learning and Behavior
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Learning Environments Research
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Development and Learning in Organizations
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Journal of Workplace Learning
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Information and Learning Science
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Learning Media and Technology
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Journal of Learning Styles
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Journal of Teaching and Learning
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Journal of Learning Design
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Journal of Peer Learning
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International Journal of Learning
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Technology Knowledge and Learning
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Online Learning Journal
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English Teaching and Learning
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