Search results for: AUTOMATED PRONUNCIATION ASSESSMENT, SPEECH PROCESSING, SECOND-LANGUAGE LEARNING, DEEP LEARNING - Bridge of Knowledge

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Search results for: AUTOMATED PRONUNCIATION ASSESSMENT, SPEECH PROCESSING, SECOND-LANGUAGE LEARNING, DEEP LEARNING

Search results for: AUTOMATED PRONUNCIATION ASSESSMENT, SPEECH PROCESSING, SECOND-LANGUAGE LEARNING, DEEP LEARNING

  • Comparative study on total nitrogen prediction in wastewater treatment 1 plant and effect of various feature selection methods on machine learning algorithms performance

    Publication

    - Journal of Water Process Engineering - Year 2021

    Wastewater characteristics prediction in wastewater treatment plants (WWTPs) is valuable and can reduce the number of sampling, energy, and cost. Feature Selection (FS) methods are used in the pre-processing section for enhancing the model performance. This study aims to evaluate the effect of seven different FS methods (filter, wrapper, and embedded methods) on enhancing the prediction accuracy for total nitrogen (TN) in the WWTP...

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  • Wyróżniki modelu biznesu przedsiębiorstwa inteligentnego

    Publication

    - Year 2016

    Burzliwa zmiana środowiska biznesowego wpływa na ludzi tak, że generują oczekiwania na wyroby i usługi zaspokajające ich dotychczasowe i nowe potrzeby w coraz większym stopniu. W ten sposób przed menedżerami powstają wciąż nowe, bardziej skomplikowane i wysublimowane wymagania. W takich uwarunkowaniach prowadzenia biznesu sukces osiąga to przedsiębiorstwo, które jest inteligentne. W takiej perspektywie celem badań było wyłonienie...

  • Real-Time Facial Features Detection from Low Resolution Thermal Images with Deep Classification Models

    Deep networks have already shown a spectacular success for object classification and detection for various applications from everyday use cases to advanced medical problems. The main advantage of the classification models over the detection models is less time and effort needed for dataset preparation, because classification networks do not require bounding box annotations, but labels at the image level only. Yet, after passing...

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  • Finite Element Method

    e-Learning Courses
    • B. Sobczyk
    • M. Malikan

    Item Name : Finite Element Method- Abaqus learning Field of study : Civil Engineering Faculty : Faculty of Civil and Environmental Engineering Education level : Second degree studies Form of studies : Full-time studies Year of studies : 1 Study semester : 2 Start of the semester : November 2021 Academic year of the course : 2021/2022 Form of classes : Lecture, Laboratory

  • Longitudinal drug synergy assessment using convolutional neural network image-decoding of glioblastoma single-spheroid cultures

    Publication
    • A. Giczewska
    • K. Pastuszak
    • M. Houweling
    • U. K. Abdul
    • N. Faaij
    • L. Wedekind
    • D. Noske
    • T. Würdinger
    • A. Supernat
    • B. Westerman

    - Neuro-Oncology Advances - Year 2023

    Abstract Background In recent years, drug combinations have become increasingly popular to improve therapeutic outcomes in various diseases, including difficult to cure cancers such as the brain cancer glioblastoma. Assessing the interaction between drugs over time is critical for predicting drug combination effectiveness and minimizing the risk of therapy resistance. However, as viability readouts of drug combination experiments...

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  • An advanced tool integrating failure and sensitivity analysis into novel modeling of the stormwater flood volume

    Publication

    - HYDROLOGY AND EARTH SYSTEM SCIENCES - Year 2023

    An innovative tool for modeling the specific flood volume was presented that can be applied to assess the need for stormwater network modernization as well as for advanced flood risk assessment. Field measurements for a catchment area in Kielce, Poland, were used to apply the model and demonstrate its usefulness. This model extends the capability of recently developed statistical and machine learning hydrodynamic models developed...

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  • Predicting seismic response of SMRFs founded on different soil types using machine learning techniques

    Predicting the Maximum Interstory Drift Ratio (M-IDR) of Steel Moment-Resisting Frames (SMRFs) is a useful tool for designers to approximately evaluate the vulnerability of SMRFs. This study aims to explore supervised Machine Learning (ML) algorithms to build a surrogate prediction model for SMRFs to reduce the need for complex modeling. For this purpose, twenty well-known ML algorithms implemented in Python software are trained...

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  • Soft skills among academics: Five theoretically informed lessons for current times

    Publication

    RESEARCH OBJECTIVE: The aim of this article is to provide a comprehensive examination of the role of soft skills among academics in the context of the evolving higher-education landscape. THE RESEARCH PROBLEM AND METHODS: We use a scoping review of existing literature to discuss the importance of soft skills in academia. Through critical analysis and synthesis, we identify patterns and gaps in current knowledge and develop five...

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  • Identification of category associations using a multilabel classifier

    Description of the data using categories allows one to describe it on a higher abstraction level. In this way, we can operate on aggregated groups of the information, allowing one to see relationships that do not appear explicit when we analyze the individual objects separately. In this paper we present automatic identification of the associations between categories used for organization of the textual data. As experimental data...

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  • Experimental and Theoretical Screening for Green Solvents Improving Sulfamethizole Solubility

    Publication

    - Materials - Year 2021

    Solubility enhancement of poorly soluble active pharmaceutical ingredients is of crucial importance for drug development and processing. Extensive experimental screening is limited due to the vast number of potential solvent combinations. Hence, theoretical models can offer valuable hints for guiding experiments aimed at providing solubility data. In this paper, we explore the possibility of applying quantum-chemistry-derived...

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  • Is data management a new “digitisation”? A change of the role of librarians in the context of changing academic libraries’ tasks

    Publication

    - Year 2018

    Academic libraries’ tasks have been evolving over the years. The changes have been stimulated by appearing of electronic resources, automated library systems, digital libraries and Open Access (OA) repositories. Librarians’ tasks and responsibilities in the academic environment have been evolving in accordance with new tasks they were expected to assume. A few years ago there was a discussion during which an attempt was made to...

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  • Intercultural interactions at multinational corporations' workplace: Grounded theory.

    Publication

    - Journal of Positive Management - Year 2016

    environments is a new challenge for employees and managers. The aim of the paper is to analyze the social interactions in multicultural environments of multinational corporations (MNCs) as well as to propose a model of intercultural social interactions in MNCs’ specifi c context. Design/methodology/approach: The grounded theory approach was applied to create a model of intercultural interactions in MNCs. The data was obtained during...

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  • Intelligent Knowledge-Base Model for IT Support Organization Evolution

    Publication

    - Year 2010

    The goal of the paper is building the knowledge-based model for predicting the state of the IT support organization. These organizations, critical for development of various business sectors, are facing the problem of their transformation. It is the result of the fundamental change in the role of the IT organizations in the current economy. The complexity of the processes, the difficulty adjusting the operations and limited ability...

  • Cost-Efficient Globalized Parameter Optimization of Microwave Components through Response-Feature Surrogates and Nature-Inspired Metaheuristics

    Design of contemporary microwave devices predominantly utilizes computational models, including both circuit simulators, and full-wave electromagnetic (EM) evaluation. The latter constitutes the sole generic way of rendering accurate assessment of the system outputs that considers phenomena such as cross-coupling or radiation and dielectric losses. Consequently, for reliability reasons, the final tuning of microwave device parameters...

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  • Chitosan-coated coconut shell composite: A solution for treatment of Cr(III)-contaminated tannery wastewater

    Publication
    • T. A. Kurniawan
    • F. Batool
    • A. Mohyuddin
    • H. H. Goh
    • M. H. D. Othman
    • F. Aziz
    • A. Anouzla
    • H. Al-Hazmi
    • K. W. Chew

    - Journal of the Taiwan Institute of Chemical Engineers - Year 2024

    Tannery industry generates a large amount of Cr(III)-contaminated wastewater daily. Unless properly treated, not only this effluent contaminates the water body, but also damages the environment and threatens public health. This batch study investigates the feasibility of chitosan-coated coconut shells as a low-cost material for removing Cr(III) from tannery wastewater. Both chitosan and coconut shell (CS) waste are abundantly available...

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  • Simulation analysis of a production process with selected six sigma ratios

    Publication

    Computer technologies allow more and more to model as well as to perform simulation experiments of various processes. The simulation analysis provides a better understanding of the interdependencies between various stages of production processes.The results of simulation studies were presented, the aim of them was to show the opportunities of the analysis of the process according to the scenarios and variants developed in connection...

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  • Method of selective fading as a educational tool to study the behaviour of prestressed concrete elements under excess loading

    Prestressed structures are a key to realization of the boldest architectural ideas, characteristic feature of prestressed structure is better use of concrete material properties by insertion of internal forces. Learning about pre-stressed reinforced concrete structures is an integral part of Graduate Studies Program in construction engineering. Know-how of geometry change patterns in prestressed concrete elements under certain...

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  • Using LSTM networks to predict engine condition on large scale data processing framework

    Publication

    - Year 2017

    As the Internet of Things technology is developing rapidly, companies have an ability to observe the health of engine components and constructed systems through collecting signals from sensors. According to output of IoT sensors, companies can build systems to predict the conditions of components. Practically the components are required to be maintained or replaced before the end of life in performing their assigned task. Predicting...

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  • Topology recognition and leader election in colored networks

    Publication

    Topology recognition and leader election are fundamental tasks in distributed computing in networks. The first of them requires each node to find a labeled isomorphic copy of the network, while the result of the second one consists in a single node adopting the label 1 (leader), with all other nodes adopting the label 0 and learning a path to the leader. We consider both these problems in networks whose nodes are equipped with...

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  • Oprogramowanie Systemów Elektronicznych 2023/2024

    e-Learning Courses
    • M. Kowalewski

    {mlang pl} Cel kursu: Programowanie urządzeń pomiarowych, obsługa interfejsów komputerowych, poznanie mechanizmów zwiększania wydajności oprogramowania (Win32 API, DLL, ODBC), projektowanie aplikacji wielozadaniowych. Dla studentów jakiego kierunku/stopnia studiów dany kurs jest przeznaczony: Przedmiot prowadzonych na studiach II stopnia.Obowiązkowy dla specjalności "Komputerowe Systemy Elektroniczne" i "Computer Electronic...

  • Oprogramowanie Systemów Elektronicznych 2021/2022

    e-Learning Courses
    • M. Kowalewski

    {mlang pl} Cel kursu: Programowanie urządzeń pomiarowych, obsługa interfejsów komputerowych, poznanie mechanizmów zwiększania wydajności oprogramowania (Win32 API, DLL, ODBC), projektowanie aplikacji wielozadaniowych. Dla studentów jakiego kierunku/stopnia studiów dany kurs jest przeznaczony: Przedmiot prowadzonych na studiach II stopnia.Obowiązkowy dla specjalności "Komputerowe Systemy Elektroniczne" i "Computer Electronic...

  • Infosystemy Elektroniczne 2023/2024

    e-Learning Courses
    • M. Kowalewski

    {mlang pl} Cel kursu: Poznanie zasad funkcjonowania różnorodnych infosystemów elektronicznych, obejmujących zastosowania przemysłowe i komercyjne elektroniki. Dla studentów jakiego kierunku/stopnia studiów dany kurs jest przeznaczony: Przedmiot prowadzonych na studiach II stopnia.Obowiązkowy dla specjalności "Komputerowe Systemy Elektroniczne" i "Computer Electronic Systems" na kierunku Elektronika.Obieralny dla specjalności...

  • Infosystemy Elektroniczne 2021/2022

    e-Learning Courses
    • M. Kowalewski

    {mlang pl} Cel kursu: Poznanie zasad funkcjonowania różnorodnych infosystemów elektronicznych, obejmujących zastosowania przemysłowe i komercyjne elektroniki. Dla studentów jakiego kierunku/stopnia studiów dany kurs jest przeznaczony: Przedmiot prowadzonych na studiach II stopnia.Obowiązkowy dla specjalności "Komputerowe Systemy Elektroniczne" i "Computer Electronic Systems" na kierunku Elektronika.Obieralny dla specjalności...

  • Architektura a dekonstrukcja. Przypadek Petera Eisenmana i Bernarda Tschumiego

    Publication

    - Year 2015

    Architecture and Deconstruction Case of Peter Eisenman and Bernard Tschumi   Introduction Towards deconstruction in architecture Intensive relations between philosophical deconstruction and architecture, which were present in the late 1980s and early 1990s, belong to the past and therefore may be described from a greater than...

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