Search results for: ART AND SCIENCE, CONTEMPORARY ART, PAINTING, GEOMETRY, RHYTHM, COLOUR - Bridge of Knowledge

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Search results for: ART AND SCIENCE, CONTEMPORARY ART, PAINTING, GEOMETRY, RHYTHM, COLOUR

Search results for: ART AND SCIENCE, CONTEMPORARY ART, PAINTING, GEOMETRY, RHYTHM, COLOUR

  • Improving Clairvoyant: reduction algorithm resilient to imbalanced process arrival patterns

    The Clairvoyant algorithm proposed in “A novel MPI reduction algorithm resilient to imbalances in process arrival times” was analyzed, commented and improved. The comments concern handling certain edge cases in the original pseudocode and description, i.e., adding another state of a process, improved cache friendliness more precise complexity estimations and some other issues improving the robustness of the algorithm implementation....

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  • Architekci malują Kaszuby

    Publication

    - Year 2019

    W lipcu Towarzystwo Przyjaciół Sopotu zaprasza na wystawę prezentującą pejzaże kaszubskie. Będzie to kolejna odsłona projektu ARCHITEKCI MALUJĄ zapoczątkowanego w 2016 roku. Obrazy i rysunki eksponowane w dworkowej Galerii powstały w ramach Arch Art 2019 podczas pleneru w urokliwej wsi Krzeszna w gminie Stężyca. Czerwcowe krajobrazy okazały się wyjątkowo sprzyjające wielu ciekawym artystycznym obserwacjom. Autorami prezentowanych...

  • Carbon Nanomaterials From Metal-Organic Frameworks: A New Material Horizon for CO2 Reduction

    Publication
    • X. Xuan
    • S. Chen
    • S. Zhao
    • J. Y. Yoon
    • G. Boczkaj
    • X. Sun

    - Frontiers in Chemistry - Year 2020

    The rise of CO2 in the atmosphere, which results in severe climate change and temperature increase, is known as the major reason for greenhouse effect. Reducing CO2 to value-added products is an attractive solution to this severe problem, along with addressing the energy crisis, to which the catalysts being employed are of vital importance. Due to their high porosity and tunable compositions, Metal-Organic Frameworks (MOFs) show...

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  • Explainable AI for Inspecting Adversarial Attacks on Deep Neural Networks

    Deep Neural Networks (DNN) are state of the art algorithms for image classification. Although significant achievements and perspectives, deep neural networks and accompanying learning algorithms have some important challenges to tackle. However, it appears that it is relatively easy to attack and fool with well-designed input samples called adversarial examples. Adversarial perturba-tions are unnoticeable for humans. Such attacks...

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  • Balanand Santhosh Ph.D.

    Dr. Balanand Santhosh, obtained his Ph.D. (cum laude) in Materials, Mechatronics and Systems engineering from the Department of Industrial Engineering, University of Trento, Italy. He is currently working as Research Assistant Professor at Gdansk Univerity of Technology, Poland. Formerly he was working as a post-doctoral researcher at University of Trento, Italy. His research expertise is mainly in the area of ceramic processing...

  • The Main Buildings of Technical Universities in Lviv, Warsaw, Gdańsk and Wrocław. Neo-Renaissance „Architecture parlante”

    Publication

    - Year 2018

    The article compares the buildings of historical campuses of four technical universities located in areas related to Polish culture. At the turn of the 19th and 20th centuries, several new technical universities were established in Central and Eastern Europe. In 1844, the Technical Academy was opened in Lviv. In 1899, the Russian who were occupying the east and central part of Poland established the Polytechnic Institute in Warsaw....

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  • Rafał Janowicz dr hab. inż. arch.

    Rafał Janowicz since 2011, he is an associate professor at the Faculty of Architecture of the Gdańsk University of Technology, at the Department of Technical Fundamentals of Architectural Design. He has graduated from the Faculty of Architecture of the Gdańsk University of Technology in 2001, with the major in Architecture and Urban Design, and two years later from the Faculty of Management and Economics with the major in Management...

  • Joanna Bach-Głowińska dr inż. arch.

    I am an architect by education (M.Sc. Arch 1994) and practice (1994-2011), a Town Planner by practice (1999-2017, Ministerial Entitlements 1655/2002), and a Researcher (Ph.D.2012, Postdoctoral Research Fellow at Glasgow School of Art 2013 - 2015, also teaching on Gdansk University of Technology since 2014). I have been the Principal Investigator of Era Net Urban Transformation Capacities EmbedterLabs: Better Embedded Labs for More...

  • Low-Cost Data-Driven Surrogate Modeling of Antenna Structures by Constrained Sampling

    Full-wave electromagnetic (EM) analysis has become one of the major design tools for contemporary antenna structures. Although reliable, it is computationally expensive which makes automated simulation-driven antenna design (e.g., parametric optimization) difficult. This difficulty can be alleviated by utilization of fast and accurate replacement models (surrogates). Unfortunately, conventional data-driven modeling of antennas...

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  • Reduced-cost design closure of antennas by means of gradient search with restricted sensitivity update

    Design closure, i.e., adjustment of geometry parameters to boost the performance, is a challenging stage of antenna design process. Given complexity of contemporary structures, reliable parameter tuning requires numerical optimization and can be executed using local algorithms. Yet, EM-driven optimization is a computationally expensive endeavour and reducing its cost is highly desirable. In this paper, a modification of the trust-region...

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  • POTENCJALNE MOŻLIWOŚCI APLIKACJ TECHNIKI E-NOS W DIAGNOSTYCE MEDYCZNEJ=APPLICATION POTENTIALITIES OF E-NOSE TECHNIQUE IN MEDICAL DIAGNOSTICS

    Publication

    - Year 2013

    W pracy przedstawiono i omówiono zasadę działania instrumentu analitycznego - elektronicznego nosa (e-nos) zdolnego rozróżnić i sklasyfikować intensywność zapachu. Urządzenia te służą do automatycznej analizy i rozróżniania próbek zapachowych o złożonym składzie, do rozpoznawania ich charakterystycznych właściwości i najczęściej przeznaczone są do szybkiej analizy jakościowej. Dzięki unikatowym właściwościom technika ta znalazła...

  • Zewnętrzna stolarka drzwiowa Gdańska-Wrzeszcza na przełomie XIX i XX wieku

    Publication

    - Year 2014

    Dzielnica Gdańska Wrzeszcz ukształtowała się na przełomie XIX i XX w. Liczba mieszkańców Wrzeszcza wzrosła z około 2500 w 1884 r. do około 35 000 w 1914 r. W tym czasie powstało kilkaset jednorodzinnych i wielorodzinnych budynków mieszkalnych oraz najważniejsze obiekty użyteczności publicznej, jak zespół Politechniki, szkoły, szpitale i kościoły. Wrzeszcz – w odróżnieniu od śródmieścia Gdańska – w niewielkim tylko stopniu ucierpiał...

  • Functionalization of indium-tin-oxide electrodes by laser-nanostructured gold thin films for biosensing applications

    Publication

    - APPLIED SURFACE SCIENCE - Year 2015

    of a relatively large area formed by pulsed laser nanostructuring of thin gold films arereported and discussed. The SEM inspection of modified electrodes reveals the presence of the nearlyspherical and disc-shaped particles of dimensions in the range of 40–120 nm. The NP-array geometry canbe controlled by selection of the laser processing conditions. It is shown that particle size and packingdensity of the array are important factors...

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  • Pareto Ranking Bisection Algorithm for EM-Driven Multi-Objective Design of Antennas in Highly-Dimensional Parameter Spaces

    Publication

    - Procedia Computer Science - Year 2017

    A deterministic technique for fast surrogate-assisted multi-objective design optimization of antennas in highly-dimensional parameters spaces has been discussed. In this two-stage approach, the initial approximation of the Pareto set representing the best compromise between conflicting objectives is obtained using a bisection algorithm which finds new Pareto-optimal designs by dividing the line segments interconnecting previously...

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  • Implicit Space Mapping for Variable-Fidelity EM-Driven Design of Compact Circuits

    Space mapping (SM) belongs to the most successful surrogate-based optimization (SBO) methods in microwave engineering. Among available SM variations, implicit SM (ISM) is particularly attractive due to its simplicity and separation of extractable surrogate model parameters and design variables of the circuit/system at hand. Unlike other SM approaches, ISM exploits a set of preassigned parameters to align the surrogate with the...

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  • Top k Recommendations using Contextual Conditional Preferences Model

    Recommender systems are software tools and techniques which aim at suggesting to users items they might be interested in. Context-aware recommender systems are a particular category of recommender systems which exploit contextual information to provide more adequate recommendations. However, recommendation engines still suffer from the cold-start problem, namely where not enough information about users and their ratings is available....

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  • Numerical analysis of the container vessel's self-propulsion at different rudder deflection angles

    Publication

    - Year 2019

    Nowadays, CFD becomes one of the most commonly used research method in ship hydrodynamics, limited to the analyses of hull resistance in calm water. With continuously improving computing power and increasingly more accurate numerical methods it is possible to simulate more complex cases. State of the art CFD tools also enable development of new ways of assessing ship maneuvering performance. This paper presents an attempt on using...

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  • Performance Evaluation of a 650V E-HEMT GaN Power Switch

    Publication

    - Year 2015

    GaN power switches have better characteristics compared to the state-of-the-art Si power transistors. These devices offer high operating temperature and current densities, fast switching and low on-resistance. However, currently only a few producers offer technology of high voltage GaN transistors. Immaturity of this technology is the reason why experimental evaluation of GaN parameters must be performed to properly exploit their...

  • Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech

    Publication
    • D. Piotrowski
    • R. Korzeniowski
    • A. Falai
    • S. Cygert
    • K. Pokora
    • G. Tinchev
    • Z. Zhang
    • K. Yanagisawa

    - Year 2023

    In this work, we introduce a framework for cross-lingual speech synthesis, which involves an upstream Voice Conversion (VC) model and a downstream Text-To-Speech (TTS) model. The proposed framework consists of 4 stages. In the first two stages, we use a VC model to convert utterances in the target locale to the voice of the target speaker. In the third stage, the converted data is combined with the linguistic features and durations...

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  • Exploring Neural Networks for Musical Instrument Identification in Polyphonic Audio

    Publication

    - IEEE INTELLIGENT SYSTEMS - Year 2024

    The purpose of this paper is to introduce neural network-based methods that surpass state-of-the-art (SOTA) models, either by training faster or having simpler architecture, while maintaining comparable effectiveness in musical instrument identification in polyphonic music. Several approaches are presented, including two authors’ proposals, i.e., spiking neural networks (SNN) and a modular deep learning model named FMCNN (Fully...

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  • Architectural Modifications to Enhance Steganalysis with Convolutional Neural Networks

    Publication

    This paper investigates the impact of various modifications introduced to current state-of-the-art Convolutional Neural Network (CNN) architectures specifically designed for the steganalysis of digital images. Usage of deep learning methods has consistently demonstrated improved results in this field over the past few years, primarily due to the development of newer architectures with higher classification accuracy compared to...

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  • Motion Trajectory Prediction in Warehouse Management Systems: A Systematic Literature Review

    Publication

    - Applied Sciences-Basel - Year 2023

    Background: In the context of Warehouse Management Systems, knowledge related to motion trajectory prediction methods utilizing machine learning techniques seems to be scattered and fragmented. Objective: This study seeks to fill this research gap by using a systematic literature review approach. Methods: Based on the data collected from Google Scholar, a systematic literature review was performed, covering the period from 2016...

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  • Multifrequency Wideband Sonar Array

    Publication
    • A. Eliminowicz
    • W. Lis
    • L. Zajączkowski

    - HYDROACOUSTICS - Year 2012

    This paper describes of new approach to Multifrequency Wideband Arrays (MWA),applied piezocomposite technologies of the array elements. MWA operating in transmitting(Tx) and receiving (Rx) mode on two or three bands, requires state-of-the-art technology andefficient array designing than conventional array in which separate arrays for every band oreven separate Tx and Rx transducers/arrays are used. The new piezocomposite elements...

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  • A Triplet-Learnt Coarse-to-Fine Reranking for Vehicle Re-identification

    Publication

    - Year 2020

    Vehicle re-identification refers to the task of matching the same query vehicle across non-overlapping cameras and diverse viewpoints. Research interest on the field emerged with intelligent transportation systems and the necessity for public security maintenance. Compared to person, vehicle re-identification is more intricate, facing the challenges of lower intra-class and higher inter-class similarities. Motivated by deep...

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  • Numerical analysis of the container vessel's self-propulsion at different rudder deflection angles

    Publication

    Nowadays, CFD becomes one of the most commonly used research method in ship hydrodynamics, limited to the analyses of hull resistance in calm water. With continuously improving computing power and increasingly more accurate numerical methods it is possible to simulate more complex cases. State of the art CFD tools also enable development of new ways of assessing ship maneuvering performance. This paper presents an attempt on...

    Full text to download in external service

  • Buried Object Characterization Using Ground Penetrating Radar Assisted by Data-Driven Surrogate-Models

    Publication
    • R. Yurt
    • H. Torpi
    • P. Mahouti
    • A. Kizilay
    • S. Kozieł

    - IEEE Access - Year 2023

    This work addresses artificial-intelligence-based buried object characterization using 3-D full-wave electromagnetic simulations of a ground penetrating radar (GPR). The task is to characterize cylindrical shape, perfectly electric conductor (PEC) object buried in various dispersive soil media, and in different positions. The main contributions of this work are (i) development of a fast and accurate data driven surrogate modeling...

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  • Deep Features Class Activation Map for Thermal Face Detection and Tracking

    Publication

    - Year 2017

    Recently, capabilities of many computer vision tasks have significantly improved due to advances in Convolutional Neural Networks. In our research, we demonstrate that it can be also used for face detection from low resolution thermal images, acquired with a portable camera. The physical size of the camera used in our research allows for embedding it in a wearable device or indoor remote monitoring solution for elderly and disabled...

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  • Polysaccharides in fabrication of membranes: A review

    Publication

    - CARBOHYDRATE POLYMERS - Year 2022

    Sustainability concerns have motivated and directed a great deal of interest over the past decade towards the development of green technologies. Polysaccharides are green polymers, which experienced growing demand to substitute chemically synthetic polymers. Different types of polysaccharides i.e. cellulose-, starch-, chitin- alginate-, and chitosan-based carbohydrate polymers have been applied in the fabrication of separation...

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  • A Survey of Fast-Recovery Mechanisms in Packet-Switched Networks

    Publication
    • M. Chiesa
    • A. Kamisinski
    • J. Rak
    • G. Retvari
    • S. Schmid

    - IEEE Communications Surveys and Tutorials - Year 2021

    In order to meet their stringent dependability requirements, most modern packet-switched communication networks support fast-recovery mechanisms in the data plane. While reactions to failures in the data plane can be significantly faster compared to control plane mechanisms, implementing fast recovery in the data plane is challenging, and has recently received much attention in the literature. This survey presents a systematic,...

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  • Freehand drawing versus digital design tools in architectural teaching

    The oldest drawings resembling modern architectural designs date from the 22nd Century BC. Throughout history, the first drawings have evolved into the basic tool of the architect’s work. The exchange of information between the architect and the contractor began to take place through a drawing system, allowing to describe three-dimensional space using flat representations. With time, architectural drawings also began to resemble...

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  • Modeling SARS‐CoV‐2 proteins in the CASP‐commons experiment

    Publication
    • A. Kryshtafovych
    • J. Moult
    • W. M. Billings
    • D. Della Corte
    • K. Fidelis
    • S. Kwon
    • K. Olechnovič
    • C. Seok
    • Č. Venclovas
    • J. Won... and 79 others

    - PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS - Year 2021

    Critical Assessment of Structure Prediction (CASP) is an organization aimed at advancing the state of the art in computing protein structure from sequence. In the spring of 2020, CASP launched a community project to compute the structures of the most structurally challenging proteins coded for in the SARS-CoV-2 genome. Forty-seven research groups submitted over 3000 three-dimensional models and 700 sets of accuracy estimates on...

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  • Fiber-optic sensors based on microspheres with nanocoatings (Zastosowanie mikrosfer optycznych z cienkowarstwowymi pokryciami w czujnikach światłowodowych)

    Publication

    - Year 2021

    Temperature is one of the most important physical quantities. Temperature measurements are used in every field of life, especially electronics, electrical engineering, energy-related fields, including energy source and storage devices. The goal of this dissertation is to design and optimize the microsphere-based fiber-optic sensors construction for measurement of the sensor surrounding medium temperature, including selection of...

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  • Sound engineering as our commitment to its creators in Poland

    Publication

    Sound engineering is an interdisciplinary and rapidly expanding domain. It covers many aspects, such as sound perception, studio and sound mastering technology, music information retrieval including content-based search systems and automatic music transcription frameworks, sound synthesis, sound restoration, electroacoustics, and other ones constituting multimedia technology. Moreover, machine learning methods applied to the topics...

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  • Light Symposium. Connecting health research with lighting practice

    Thanks to state-of-the-art medical and environmental research, our current understanding about the impact of light and lighting is improving at a rapid rate. While the evolution of lighting technologies offers promising design possibilities, it also poses new challenges to planners and the general public. This is further complicated by the fact that today’s modern indoor lifestyle means we can be completely disconnected from nature...

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  • Manufacturing Parameters, Materials, and Welds Properties of Butt Friction Stir Welded Joints–Overview

    Publication

    - Materials - Year 2020

    The modern and eco-friendly friction stir welding (FSW) method allows the combination of even such materials that are considered to be non-weldable. The development of FSW technology in recent years has allowed a rapid increase in the understanding of the mechanism of this process and made it possible to perform the first welding trials of modern polymeric and composite materials, the joining of which was previously a challenge....

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  • Topic 1: Transformations / Spatial form design, scale 1:1

    e-Learning Courses
    • E. Urwanowicz
    • K. Wróblewski
    • P. Różycki

    Brief description: The subject matter of the spatial form design classes is transformation. First, a black square becomes a flat graphic composition, which is then converted to color. The final stage of the transformation process is a spatial object, which is by assumption devoid of any utilitarian functions. Course content / classes schedule:   1. Graphic. The task is to create an achromatic flat composition in the contrast...

  • Light formed through urban morphology and different organism groups: First findings from a systematic review

    Publication

    The prevailing implementation and usage of contemporary lighting technologies and design practices in cities have created over-illuminated built environments. Recent studies indicate that exposure to electric lighting effects formed through spatial characteristics has visual, physiological, and behavioural effects on both humans and non-humans, such as wildlife. In order to gain a better understanding of the impact that electric...

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  • Twórczość - przekraczanie dyscyplin. Analiza postawy autorskiej

    Agnieszka Kurkowska w artykule Twórczość - przekraczanie dyscyplin. Analiza postawy autorskiej odnosi się do zagadnienia poruszania w różnych obszarach wiedzy i umiejętności przez jednostkowego twórcę. Zarysowany jest problem niemożności wąskiego traktowania architektury jako dziedziny stricte inżynieryjnej. Architekt otwarty na otaczające problemy przestrzenne, ich fizyczne i pozafizyczne aspekty sięga w swoich wypowiedziach do...

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  • Advances in olfaction-inspired biomaterials applied to bioelectronic noses

    Publication

    - SENSORS AND ACTUATORS B-CHEMICAL - Year 2018

    Among all the senses, olfactory system of mammals is the least characterised as far as the mechanisms of odour identification are concerned. The results of recent investigations allow better understanding of the operation mechanism of the sense of smell. Progress in this field is crucial for the development of sensor technology based on olfaction-inspired biomaterials, which simulate the olfactory system of the biological counterparts....

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  • Genre-Based Music Language Modeling with Latent Hierarchical Pitman-Yor Process Allocation

    In this work we present a new Bayesian topic model: latent hierarchical Pitman-Yor process allocation (LHPYA), which uses hierarchical Pitman-Yor pr ocess priors for both word and topic distributions, and generalizes a few of the existing topic models, including the latent Dirichlet allocation (LDA), the bi- gram topic model and the hierarchical Pitman-Yor topic model. Using such priors allows for integration of -grams with a topic model,...

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  • The Caucasian flora: a still-to-be-discovered rich source of antioxidants

    Publication

    - FREE RADICAL RESEARCH - Year 2019

    Cellular redox homeostasis is a state of balance between the formation of Usually Reactive Oxygen and / or Nitrogen Species (ROS/RNS), endogenous antioxidant defence systems, and exogenous dietary antioxidants. The disturbance of redox homeostasis, by the overproduction of endogenous ROS/RNS, may increase the risk of development of so-called civilisation diseases. The solution seems to be either the increased production of endogenous...

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  • Method for universal detection of two-photon polarization entanglement

    Publication
    • K. Bartkiewicz
    • P. Horodecki
    • K. Lemr
    • A. Miranowicz
    • K. Życzkowski

    - PHYSICAL REVIEW A - Year 2015

    Detecting and quantifying quantum entanglement of a given unknown state poses problems that are fundamentally important for quantum information processing. Surprisingly, no direct (i.e., without quantum tomography) universal experimental implementation of a necessary and sufficient test of entanglement has been designed even for a general two-qubit state. Here we propose an experimental method for detecting a collective universal...

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  • CSR in Family Business- Ethnocentric Meaning Socially Responsible?

    The aim of this paper is to provide framework and key issues relevant for research on social responsibility of family business. From providing two theoretical approaches towards social responsibility such as social capital concept commenting on the familiness as a family firm resource and capability; and the stakeholder theory we move to the state of the art of family business. Then, we discuss heterogeneity among family firms...

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  • Arterial cannula shape optimization by means of the rotational firefly algorithm

    The article presents global optimization results of arterial cannula shapes by means of the newly modified firefly algorithm. The search for the optimal arterial cannula shape is necessary in order to minimize losses and prepare the flow that leaves the circulatory support system of a ventricle (i.e. blood pump) before it reaches the heart. A modification of the standard firefly algorithm, the so-called rotational firefly algorithm,...

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  • Methodology for Performing Bathymetric Measurements of Shallow Waterbodies Using an UAV, and their Processing Based on the SVR Algorithm

    Publication

    - MEASUREMENT - Year 2023

    State-of-art methods of bathymetric measurements for shallow waterbodies use Global Navigation Satellite System (GNSS) receiver, bathymetric Light Detection and Ranging (LiDAR) sensor or satellite imagery. Currently, photogrammetric methods with the application of Unmanned Aerial Vehicles (UAV) are gathering great importance. This publication aims to present step-by-step methodology for carrying out the bathymetric measurements...

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  • Bimodal Emotion Recognition Based on Vocal and Facial Features

    Emotion recognition is a crucial aspect of human communication, with applications in fields such as psychology, education, and healthcare. Identifying emotions accurately is challenging, as people use a variety of signals to express and perceive emotions. In this study, we address the problem of multimodal emotion recognition using both audio and video signals, to develop a robust and reliable system that can recognize emotions...

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  • Methodology for Performing Bathymetric Measurements of Shallow Waterbodies Using an UAV, and their Processing Based on the SVR Algorithm

    Publication

    - MEASUREMENT - Year 2023

    State-of-art methods of bathymetric measurements for shallow waterbodies use Global Navigation Satellite System (GNSS) receiver, bathymetric Light Detection and Ranging (LiDAR) sensor or satellite imagery. Currently, photogrammetric methods with the application of Unmanned Aerial Vehicles (UAV) are gathering great importance. This publication aims to present step-by-step methodology for carrying out the bathymetric measurements...

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  • Comparison of 3D Point Cloud Completion Networks for High Altitude Lidar Scans of Buildings

    High altitude lidar scans allow for rapid acquisition of big spatial data representing entire city blocks. Unfortunately, the raw point clouds acquired by this method are largely incomplete due to object occlusions and restrictions in scanning angles and sensor resolution, which can negatively affect the obtained results. In recent years, many new solutions for 3D point cloud completion have been created and tested on various objects;...

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  • Multitaper-Based Post-processing of Compact Antenna Responses Obtained in Non-anechoic Conditions

    Publication

    The process of developing antenna structures typically involves prototype measurements. While accurate validation of far-field performance can be performed in dedicated facilities like anechoic chambers, high cost of construction and maintenance might not justify their use for teaching, or low-budget research scenarios. Non-anechoic experiments provide a cost-effective alternative, however the performance metrics obtained in such...

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  • Genre-Based Music Language Modeling with Latent Hierarchical Pitman-Yor Process Allocation

    Publication

    - Year 2014

    In this work we present a new Bayesian topic model: latent hierarchical Pitman-Yor process allocation (LHPYA), which uses hierarchical Pitman-Yor pr ocess priors for both word and topic distributions, and generalizes a few of the existing topic models, including the latent Dirichlet allocation (LDA), the bi- gram topic model and the hierarchical Pitman-Yor topic model. Using such priors allows for integration of -grams with a topic...

    Full text to download in external service