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Wyniki wyszukiwania dla: CORPORATE BANKRUPTCY PREDICTION
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Examining Ownership Equity as a Psychological Factor on Tourism Business Failure Forecasting
PublikacjaThis paper examines ownership equity as a predictor of future business failure within the tourism and hospitality sectors. The main goals of this study were to examine which ratios are the most important for a tourism business failure forecasting model and how significant is the “total percentage of equity ownership by company directors” ratio compared with other ratios associated with the probability of bankruptcy. A stepwise...
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Piotr Kasprzak dr
OsobyDr Piotr Kasprzak - na co dzień jest pracownikiem Katedry Finansów na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. Specjalizuje się w aspektach związanych z opodatkowaniem przedsiębiorstw oraz zagadnień związanych z rachunkowością. Jego zainteresowania naukowe i zawodowe obejmują kwestie związane z rachunkowością przedsiębiorstw, prowadzeniem rachunkowości zarządczej oraz stosowaniem zapisów ustawy o rachunkowości w...
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Europe, between Mandatory and Voluntary Approach to CSR: Some New Evidence from the Polish Listed Companies
PublikacjaThis paper aims to explore the relationship between corporate governance rules and application of CSR practices into operations of the top 30 companies listed on the Warsaw Stock Exchange. Since in Poland, so far, there is no obligation to follow any specific CSR standards or to make disclosures of non-financial, social and environmental information, this is still a fully voluntary approach. At the moment, only some of the companies...
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Source code - AI models (MLM1-5 - series I-III - QNM opt)
Dane BadawczeSource code - AI models (MLM1-5 - series I-III - QNM opt) for the paper "Computational Complexity and Its Influence on Concrete Compressive Strength Prediction Capabilities of Machine Learning Models for Concrete Mix Design Support" accepted for publication.
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Income tax rates for special activities in Czech Republic
Dane BadawczeThe standard corporate income tax rate is 19%. Since 2015, the tax rates for special activities have changed as follows: the tax rate for pension funds is 0% (with some exemption); The tax regulations define a new so-called "Basic investment fund" and only that particular fund can benefit from the lower tax rate of 5%. Other mutual funds that do not...
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Zdzisław Kowalczuk prof. dr hab. inż.
OsobyW 1978 ukończył studia w zakresie automatyki i informatyki na Wydziale Elektroniki Politechniki Gdańskiej, następnie rozpoczął pracę na macierzystej uczelni. W 1986 obronił pracę doktorską, w 1993 habilitował się na Politechnice Śląskiej na podstawie pracy Dyskretne modele w projektowaniu układów sterowania. W 1996 mianowany profesorem nadzwyczajnym, w 2003 otrzymał tytuł profesora nauk technicznych. W 2006 założył i od tego czasu...
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Doing well by doing good — CSR in a global context
PublikacjaMotivation: Nowadays, there is a general understanding that stakeholders are crucial for the successful enterprise. There is also a need to think about Corporate Social Responsibility (CSR) in a global context. Never before corporations enjoyed so much power and authority. Corporations need to evolve, re-think their strategies and change their processes accordingly. However, as of now, there is no agreed way of measuring overall...
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Jarosław Ziętarski dr
OsobyJarosław Ziętarski jest wykładowcą (Adiunktem) w Katedrze Finansów na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. Posiada własny kanał na platformie youtube o nazwie "FAT CAT Financial Education" na którym popularyzuje wiedzę z zakresu rachunkowości zarządczej. Był w komitecie organizacyjnym międzynarodowej konferencji 28th Annual Multinational Finance Society Conference. Prowadzone przedmioty: Wprowadzenie do Finansów Zarządzanie...
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Employment structure by enterprise size in Poland in 2010-2014
Dane BadawczeMicro, small and medium-sized enterprises employ in total nearly 70% of all employees working in the corporate sector. Micro enterprises play a decisive role in this respect, accounting for nearly 40% of all employees. This dataset contains data showing the structure of the number of employees in enterprises in 2010-2014.
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Logistics of Transnational Corporations as the Basis of Cooperation Between Ukraine and EU (for Poland Example)
PublikacjaThe article describes the scientific and theoretical basis for the organization of logistics management of modern international corporations, owning by assets in mining and metallurgical business in Ukraine and Poland; it had been analyzed the influence of transfer pricing mechanism as one of the main factors affecting on the efficiency of the organization of supply chain of resources (Ukrainian semi-finished goods) to ensure uninterrupted...
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Społeczna odpowiedzialność firm - narzędzie public relations czy coś więcej?
PublikacjaArtykuł stawia pytanie o miejsce działań Corporate Social Resposibility [ CSR} w strategii przedsiębiorstw i zależności między public relations a CSR w realizacji celów przedsiębiorstwa - między innymi kreowania wizerunku, budowania reputacji.
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Instrumenty prawne ochrony interesów akcjonariuszy mniejszościowych w polskich spółkach publicznych.
PublikacjaWe wstępie wskazano na znaczenie ochrony interesów akcjonariuszy mniejszościowych w świetle corporate governance. Następnie omówiono instrumenty ochrony akcjonariuszy mniejszościowych przed transferem zysków i w wezwaniach na sprzedaż akcji. Rozważania oparto na licznych przykładach.
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Cele nadzoru korporacyjnego w polskich spółkch giełdowych
PublikacjaOpracowanie składa sie z dwóch części. W pierwszej części rozwazań zaprezentowano dwa ujęcia corporate governance - z perspektywy akcjonariuszy i perspektywy interesariuszy. W drugiej części przedstawiono przyklady naruszania interesów akcjonariuszy mniejszościowych w spółkach giełdowych w Polsce.
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Implementing artificial intelligence in forecasting the risk of personal bankruptcies in Poland and Taiwan
PublikacjaResearch background: The global financial crisis from 2007 to 2012, the COVID-19 pandemic, and the current war in Ukraine have dramatically increased the risk of consumer bankruptcies worldwide. All three crises negatively impact the financial situation of households due to increased interest rates, inflation rates, volatile exchange rates, and other significant macroeconomic factors. Financial difficulties may arise when the...
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Socioemotional Wealth (SEW) of Family Firms and CEO Behavioral Biases in the Implementation of Sustainable Development Goals (SDGs)
PublikacjaAgreed upon by the UN member states, Agenda 2030 assumes joint action for long- term sustainable development. These actions are focused on the implementation of 17 Sustainable Development Goals (SDGs), where actions are assumed to lead to the suppression of negative externalities of human activity. It is stressed that the objectives of sustainable development can only be achieved through deep institutional changes in most dimensions...
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Doing Well by Doing Good- CSR in a Global Context
PublikacjaNowadays, there is a general understanding that stakeholders are crucial for the successful enterprise. There is also a need to think about Corporate Social Responsibility (CSR) in a global context. Never before corporations enjoyed so much power and authority. Corporations need to evolve, re-think their strategies and change their processes accordingly. However, as of now, there is no agreed way of measuring overall sustainability...
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Anna Rzeczycka dr hab.
OsobyAnna Rzeczycka jest zastępcą kierownika Katedry Finansów na Wydziale Ekonomii i Zarządzania Politechniki Gdańskiej. Publikacje sytuują się w dziedzinie nauk społecznych w zakresie dyscypliny ekonomia i finanse. Obejmują one książki, monografie, artykuły, publikacje i redakcje naukowe monografii i zeszytów naukowych. Liczbowo obejmuje on następujące pozycje: 12 monografii i podręczników, 115 publikacji w czasopismach naukowych,...
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Zarządzanie tożsamością w organizacjach na różnych poziomach zagregowania
PublikacjaNiniejszy artykuł stanowi naukową refleksję nad pojęciem tożsamości grupowej, odnoszonej do przedsiębiorstw oraz ich agregatów, określanych przez autorkę mianem „organizacji na wyższych poziomach zagregowania”. Głównym celem artykułu jest przegląd literatury z zakresu tożsamości przedsiębiorstwa, a na tej podstawie próba ustalenia czym jest taka tożsamość i co się na nią składa. Na wstępie autorka przedstawia definicje tożsamości...
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Employing flowgraphs for forward route reconstruction in video surveillance system
PublikacjaPawlak’s flowgraphs were utilized as a base idea and knowledge container for prediction and decision making algorithms applied to experimental video surveillance system. The system is used for tracking people inside buildings in order to obtain information about their appearance and movement. The fields of view of the cameras did not overlap. Therefore, when an object was moving through unsupervised areas, prediction was needed...
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Neutralising Responsibility: A Critical Analysis of an Airline’s Climate Disclosures
PublikacjaSustainability reporting provides companies with a medium through which they can communicate their non-financial impacts to stakeholders. The airline industry has been much at the centre of the climate change debate in recent years, which is why it is hardly surprising that airlines seek to take a proactive stance in such reporting. This study critically assesses how an airline based in the Scandinavian region constructs sustainability...
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Employment structure in individual enterprises in Poland in 2010-2014
Dane BadawczeIt is worth mentioning the role of micro, small and medium-sized enterprises in the labor market. The above-mentioned entities employ in total nearly 70% of all employees who work in the corporate sector. Micro enterprises play a decisive role in this respect, accounting for nearly 40% of all employees.Comparing the data contained in the table below...
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A Computationally Efficient Model for Predicting Successful Memory Encoding Using Machine-Learning-based EEG Channel Selection
PublikacjaComputational cost is an important consideration for memory encoding prediction models that use data from dozens of implanted electrodes. We propose a method to reduce computational expense by selecting a subset of all the electrodes to build the prediction model. The electrodes were selected based on their likelihood of measuring brain activity useful for predicting memory encoding better than chance (in terms of AUC). A logistic...
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MP3vec: A Reusable Machine-Constructed Feature Representation for Protein Sequences
Publikacja—Machine Learning (ML) methods have been used with varying degrees of success on protein prediction tasks, with two inherent limitations. First, prediction performance often depends upon the features extracted from the proteins. Second, experimental data may be insufficient to construct reliable ML models. Here we introduce MP3vec, a transferable representation for protein sequences that is designed to be used specifically for sequence-to-sequence...
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Marcin Kulawiak dr hab. inż.
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Michał Bernard Pietrzak dr hab.
OsobyMichał Bernard Pietrzak jest kierownikiem Katedry Statystyki i Ekonometrii na Wydziale Ekonomii i Zarządzania Politechniki Gdańskiej oraz zastępcą redaktora naczelnego ds. oceny pod względem poprawności statystycznej czasopism: Oeconomia Copernicana i Equilibrium. Quarterly Journal of Economics and Economic Policy. Do października 2021 pracował na stanowisku profesora nadzwyczajnego na Wydziale Nauk Ekonomicznych i Zarządzania,...
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Constrained aerodynamic shape optimization using neural networks and sequential sampling
PublikacjaAerodynamic shape optimization (ASO) involves computational fluid dynamics (CFD)-based search for an optimal aerodynamic shape such as airfoils and wings. Gradient-based optimization (GBO) with adjoints can be used efficiently to solve ASO problems with many design variables, but problems with many constraints can still be challenging. The recently created efficient global optimization algorithm with neural network (NN)-based prediction...
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Muhammad Mushafiq MSc
OsobyDoctoral student at the Faculty of Management and Economics. Muhammad Mushafiq has high interest in the research of corporate finance and risk management. He previously holds Masters of Science in Finance with Magna Cum Laude and Bachelor of Business Administration in Marketing and Finance with highest position. His research has appeared in the Journal of Retailing & Consumer Services, International Journal of Emerging Markets...
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Research-by-design Best Practices in Architectural Lighting Design: Defragmenting Research Theories for their Effective Use in the Practice of Architectural and Spatial Design After Dark
Publikacja"This paper aims to combine theory and applied science; academia and practice for the creative transformation of spaces after dark taking into account a consistent environmental awareness. It is based on the premise that design research in the realm of architectural lighting design should function as a development of practice, instead of being a distraction to it. Architectural lighting design is a field within architecture and...
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Road noise mapping in the city area: measurements compared to model-based estimations
PublikacjaThe paper presents an approach to the verification of noise prediction models in selected localization in the city of Gdansk. The experiments described include a comparison between environmentalmeasurement results performed in the terrain and the noise level prediction results. The NMPB-96 (Nouvelle Méthode de Prévision du Bruit) and Harmonoise models outcomes provide the subject ofthe analysis. The proposed solution of continuous...
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Marcin Potrykus dr inż.
OsobyAbsolwent Wydziału Zarządzania i Ekonomii Politechniki Gdańskiej. Od 2008 zatrudniony jako Asystent w Katedrze Finansów na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej. W 2015 roku obronił (w dyscyplinie ekonomia) rozprawę doktorską zatytułowaną „Inwestycje alternatywne – opłacalność a ryzyko”. Od 2016 zatrudniony jako adiunkt w Katedrze Analizy Ekonomicznej i Finansów na Politechnice Gdańskiej. Jego zainteresowania naukowe...
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KM supported process improvement
PublikacjaThe corporate universe nowadays is full of change initiatives andimprovement philosophies. However,only few have proved successful enough to be integrated into regular operations a worldwide leading companies.In this context Six Sigma projects and Lean action workouts emerge as he most effective practices.In this paper we argue that there is a considerable potential to enhance them using Knowledge Management methodology and benefit...
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Hybrid Approach in Project Management - Mixing Capability Maturity Model Integration with Agile Practices
PublikacjaThis paper introduces an idea of hybrid approach in managing software development projects. The main goal of this research is to prove that it is possible to design consistent method for managing software development projects which is based on different corporate standards and methods. Authors also want to show that this new hybrid approach is beneficial for IT organization, triggers synergy effects and brings software development...
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Evaluation of Response Amplitude Operator of Ship Roll Motions Based on the Experiments in White Noise Waves
PublikacjaEvaluation of the response amplitude operator (RAO) function for ship wave frequency motions by means of scale model tests in regular waves is a standard procedure conducted by hydrodynamic model testing institutions. The resulting RAO function allows for evaluating sufficiently reliable seakeeping predictions for low to moderate sea states. However, for standard hull forms, correct prediction of roll motion in irregular wave (and...
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Detection of impulsive disturbances in archive audio signals
PublikacjaIn this paper the problem of detection of impulsive disturbances in archive audio signals is considered. It is shown that semi-causal/noncausal solutions based on joint evaluation of signal prediction errors and leave-one-out signal interpolation errors, allow one to noticeably improve detection results compared to the prediction-only based solutions. The proposed approaches are evaluated on a set of clean audio signals contaminated...
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Impact of Low Switching-to-Fundamental Frequency Ratio on Predictive Current Control of PMSM: A simulation study
PublikacjaPredictive current control algorithms for permanent magnet synchronous (PMSM) drives rely on an assumption that within short intervals motor currents can be approximated with linear functions. This approximation may result either from discretizing the motor model or from simplifications applied to the continuous-time model. As the linear current approximation has been recognized as inaccurate in case when the drive operates with...
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In silico modelling for predicting the cationic hydrophobicity and cytotoxicity of ionic liquids towards the Leukemia rat cell line, Vibrio fischeri and Scenedesmus vacuolatus based on molecular interaction potentials of ions
PublikacjaIn this study we present prediction models for estimating in silico the cationic hydrophobicity and the cytotoxicity (log [1/EC50]) of ionic liquids (ILs) towards the Leukemia rat cell line (IPC-81), the marine bacterium Vibrio fischeri and the limnic green algae Scenedesmus vacuolatus using linear free energy relationship (LFER) descriptors computed by COSMO calculations. The LFER descriptors used for the prediction model (i.e....
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CSR in Polish SMEs: From Perception to Love: Examples of Socially Engaged Firms from Pomeranian Region
PublikacjaNotwithstanding the worldwide increasing awareness of the importance of social issues in nowadays business management, Polish small and medium enterprises seem to remain in the group of followers, certainly not leaders of corporate social responsibility (CSR) movement, and this despite an important dissemination efforts by numerous institutions. The aim of this paper is to present the bumpy road to the implementation, still incomplete,...
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Identification of ship’s hull mathematical model with numerical methods
PublikacjaThe modern maritime industry is moving toward the development of technology that will allow for full or partial autonomy of ship operation. This innovation places high demands on ship performance prediction techniques at the design stage. The researchwork presented in the article is related to the design stage of the ship and concerns methods for prognosis and evaluation of the specific operational condition of the ship, namely...
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Wireless intelligent audio-video surveillance prototyping system
PublikacjaThe presented system is based on the Virtex6 FPGA and several supporting devices like a fast DDR3 memory, small HD camera, microphone with A/D converter, WiFi radio communication module, etc. The system is controlled by the Linux operating system. The Linux drivers for devices implemented in the system have been prepared. The system has been successfully verified in a H.264 compression accelerator prototype in which the most demanding...
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Marketing a społeczna odpowiedzialność biznesu – sprzeczne idee?
PublikacjaNegatywny wizerunek marketingu postrzeganego jako koncepcja kreująca nowe potrzeby i nakłaniająca klientów do zwiększania konsumpcji spowodował, że marketing wydaje się być sprzeczny z ideą rozwoju zrównoważonego i społecznej odpowiedzialności biznesu. W artykule przedstawiono rozważania czy rzeczywiście tak jest i czy stosowanie działań marketingowych jest rozbieżne z celami rozwoju zrównoważonego . Stwierdzono, że realizowanie...
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Design of microstrip antenna subarrays: a simulation-driven surrogate-based approach
PublikacjaA methodology for computationally efficient simulation-driven design of microstrip antenna subarrays is presented. Our approach takes into account the effect of the feed (here, a corporate network) on the subarray side-lobe level and allows adjustment of both radiation and reflection responses of the structure under design within a single automated process. This process is realized as surrogate-based optimization that produces...
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Simulation-Driven Design of Microstrip Antenna Subarrays
PublikacjaA methodology for computationally efficient simulation-driven design of microstrip antenna subarrays is presented. Our approach takes into account the effect of the feed (e.g., a corporate network) on the subarray side lobe level and allows adjusting both radiation and reflection responses of the structure under design within a single automated process. This process is realized as surrogate-based optimization that produces designs...
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CSR in Polish SMEs- from perception to infatuation. Examples of socially engaged firms from Pomeranian Region
PublikacjaDespite the increasing worldwide awareness of the importance of social issues in con-temporary business management, Polish small and medium-sized enterprises seem to re-main in the group of followers, certainly not leaders, of the corporate social responsibility (CSR) movement, and this despite important dissemination efforts by numerous institu-tions. The aim of this paper is to present the bumpy road to the (still incomplete)...
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Tworzenie wartości dla akcjonariuszy w świetle nadzoru korporacyjnego
PublikacjaDuży odsetek spółek publicznych w Polsce nie tworzy wartości dla akcjonariuszy. Zaprezento-wano wyniki badań dotyczących wpływu struktur własności na efektywność działania spółek pu-blicznych. Badania te nie były w stanie wyjaśnić w wystarczającym stopniu zjawiska destrukcji warto-ści. Starano się wykazać, że jedną z przyczyn tego zjawiska jest transfer wartości. Zalicza się go do głównych problemów nadzoru korporacyjnego. Szczególna...
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Elimination of impulsive disturbances from archive audio files – comparison of three noise pulse detection schemes
PublikacjaThe problem of elimination of impulsive disturbances (such as clicks, pops, ticks, crackles, and record scratches) from archive audio recordings is considered and solved using autoregressive modeling. Three classical noise pulse detection schemes are examined and compared: the approach based on open-loop multi-step-ahead signal prediction, the approach based on decision-feedback signal prediction, and the double threshold approach,...
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Efficient uncertainty quantification using sequential sampling-based neural networks
PublikacjaUncertainty quantification (UQ) of an engineered system involves the identification of uncertainties, modeling of the uncertainties, and the forward propagation of the uncertainties through a system analysis model. In this work, a novel surrogate-based forward propagation algorithm for UQ is proposed. The proposed algorithm is a new and unique extension of the recent efficient global optimization using neural network (NN)-based...
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CSR and innovation or CSR as non-technological innovation
PublikacjaThis chapter investigates the relationship between Corporate Social Responsibility (CSR) and innovation process. There is an ongoing discussion in the literature regarding this relationship, in particular on its one- or bidirectional nature and possible antecedents or mediating factors. This research addresses this gap and aims to provide more conceptual clarity and synthesize the different types of relationships between CSR and...
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On ship roll resonance frequency
PublikacjaThe paper deals with the problem of modeling of rolling motion under a variety of excitation parameters. Special emphasis is put on the analysis and prediction of the frequency of the resonant mode of rolling, since it is often an essential issue in terms of motion of a ship related to her safety against capsizing or excessive amplitudes of roll. The research is performed for both free rolling and excited rolling and it is based...
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Elimination of clicks from archive speech signals using sparse autoregressive modeling
PublikacjaThis paper presents a new approach to elimination of impulsivedisturbances from archive speech signals. The proposedsparse autoregressive (SAR) signal representation is given ina factorized form - the model is a cascade of the so-called formantfilter and pitch filter. Such a technique has been widelyused in code-excited linear prediction (CELP) systems, as itguarantees model stability. After detection of noise pulses usinglinear...
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Global Surrogate Modeling by Neural Network-Based Model Uncertainty
PublikacjaThis work proposes a novel adaptive global surrogate modeling algorithm which uses two neural networks, one for prediction and the other for the model uncertainty. Specifically, the algorithm proceeds in cycles and adaptively enhances the neural network-based surrogate model by selecting the next sampling points guided by an auxiliary neural network approximation of the spatial error. The proposed algorithm is tested numerically...