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Wyniki wyszukiwania dla: ACTOR-CRITIC LEARNING

Wyniki wyszukiwania dla: ACTOR-CRITIC LEARNING

  • Adaptive Algorithm for Interactive Question-based Search

    Publikacja

    - Rok 2012

    Popular web search engines tend to improve the relevanceof their result pages, but the search is still keyword-oriented and far from "understanding" the queries' meaning. In the article we propose an interactive question-based search algorithm that might come up helpful for identifying users' intents. We describe the algorithm implemented in a form of a questions game. The stress is put mainly on the most critical aspect of this...

  • Programy komputerowe a style uczenia się

    Publikacja

    W artykule podjęto tematykę uczenia się obsługi programów komputerowych w kontekście różnych stylów uczenia się użytkowników. Badania są przeprowadzone na styku użytkownik - program komputerowy; z jednej strony występuje człowiek z jego własnościami psychologicznymi, z drugiej zaś program komputerowy ze cechami wynikającymi z jego budowy i działania. Analizy empiryczne przeprowadzono na przykładzie nauki obsługi programu graficznego...

  • Categorization of Cloud Workload Types with Clustering

    The paper presents a new classification schema of IaaS cloud workloads types, based on the functional characteristics. We show the results of an experiment of automatic categorization performed with different benchmarks that represent particular workload types. Monitoring of resource utilization allowed us to construct workload models that can be processed with machine learning algorithms. The direct connection between the functional...

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  • Performance Analysis of Convolutional Neural Networks on Embedded Systems

    Publikacja

    - Rok 2020

    Machine learning is no longer confined to cloud and high-end server systems and has been successfully deployed on devices that are part of Internet of Things. This paper presents the analysis of performance of convolutional neural networks deployed on an ARM microcontroller. Inference time is measured for different core frequencies, with and without DSP instructions and disabled access to cache. Networks use both real-valued and...

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  • Data-driven models for fault detection using kernel pca:a water distribution system case study

    Kernel Principal Component Analysis (KPCA), an example of machine learning, can be considered a non-linear extension of the PCA method. While various applications of KPCA are known, this paper explores the possibility to use it for building a data-driven model of a non-linear system-the water distribution system of the Chojnice town (Poland). This model is utilised for fault detection with the emphasis on water leakage detection....

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  • Justyna Szostak dr inż.

    I Gdańsk University of Technology: Chair of the Rector’s Internationalization Committee (October 2020 - Present) Erasmus + Coordinator for students and staff members, Faculty of Applied Physics and Mathematics (Mar 2017 - Present) Dean's Proxy for Internationalization, Faculty of Applied Physics and Mathematics (October 2020 - Present) Coordinator of the International Relations Office of the Faculty of Applied Physics and...

  • Wykorzystanie e-narzędzi w nauczaniu, egzaminacji i certyfikacji Autodesk

    Autoryzowane Centrum Szkolenia Autodesk Politechniki Gdańskiej zostało założone w 1995 roku. Stanowiło odpowiedź na rosnące zainteresowanie zdobywaniem umiejętności obsługi oprogramowania typu CAD wśród studentów i młodych inżynierów. Rosnące zainteresowanie zaowocowało stopniowym wdrażaniem kolejnych narzędzi e-learningowych. Wraz ze zdobyciem statusu Autoryzowanego Akademickiego Partnera Autodesk w 2016 roku pojawiły się nowe...

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  • Diagnostyka łożysk silnika indukcyjnego na podstawie prądu zasilającego przy użyciu sztucznych sieci neuronowych

    W artykule zawarto wyniki badań dotyczące diagnostyki łożysk silnika indukcyjnego na podstawie pomiarów prądu zasilającego z wykorzystaniem sztucznych sieci neuronowych. Zaprezentowano wyniki uczenia sieci oraz rezultaty testów przeprowadzonych na danych spoza zbioru uczącego. Badania wykonane zostały na obiektach z celowo wprowadzonymi uszkodzeniami łożysk. Przedstawiona nowa koncepcja zakłada użycie zestawu sieci neuronowych...

  • How personality traits, sports anxiety, and general imagery could influence the physiological response measured by SCL to imagined situations in sports?

    Dane Badawcze
    open access

    The data were collected to understand how individual differences in personality (e.g. neuroticism), general imagery, and situational sports anxiety are linked to arousal measuring with skin conductance level (SCL) in situational imagery (as scripted for sport-related scenes). Thirty persons participated in the study, aged between 14 and 42 years, with...

  • imPlatelet classifier: image‐converted RNA biomarker profiles enable blood‐based cancer diagnostics

    Publikacja
    • K. Pastuszak
    • A. Supernat
    • M. G. Best
    • S. In ‘t Veld
    • S. Łapińska‐Szumczyk
    • A. Łojkowska
    • R. Różański
    • A. Żaczek
    • J. Jassem
    • T. Würdinger
    • T. Stokowy

    - Molecular Oncology - Rok 2021

    Liquid biopsies offer a minimally invasive sample collection, outperforming traditional biopsies employed for cancer evaluation. The widely used material is blood, which is the source of tumor-educated platelets. Here, we developed the imPlatelet classifier, which converts RNA-sequenced platelet data into images in which each pixel corresponds to the expression level of a certain gene. Biological knowledge from the Kyoto Encyclopedia...

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  • Pedestrian detection in low-resolution thermal images

    Over one million people die in car accidents worldwide each year. A solution that will be able to reduce situations in which pedestrian safety is at risk has been sought for a long time. One of the techniques for detecting pedestrians on the road is the use of artificial intelligence in connection with thermal imaging. The purpose of this work was to design a system to assist the safety of people and car intelligence with the use...

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  • Adversarial attack algorithm for traffic sign recognition

    Publikacja

    - MULTIMEDIA TOOLS AND APPLICATIONS - Rok 2022

    Deep learning suffers from the threat of adversarial attacks, and its defense methods have become a research hotspot. In all applications of deep learning, intelligent driving is an important and promising one, facing serious threat of adversarial attack in the meanwhile. To address the adversarial attack, this paper takes the traffic sign recognition as a typical object, for it is the core function of intelligent driving. Considering...

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  • Convolutional Neural Networks for C. Elegans Muscle Age Classification Using Only Self-Learned Features

    Nematodes Caenorhabditis elegans (C. elegans) have been used as model organisms in a wide variety of biological studies, especially those intended to obtain a better understanding of aging and age-associated diseases. This paper focuses on automating the analysis of C. elegans imagery to classify the muscle age of nematodes based on the known and well established IICBU dataset. Unlike many modern classification methods, the proposed...

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  • CAD Integrated Architectural Design, MSc Arch (2023-24)

    Kursy Online
    • D. Cyparski

    Detailed understanding of optimizing the design process using parametric BIM (Building Information Modeling) in the Autodesk Revit Architecture program. Practical design exercises included familiarize students with methods of integrating parametric design and exchanging data with other CAD/BIM programs, modifying parametric objects and generating automatic 2D/3D architectural documentation. The lesson plan introduces students to...

  • Newcomers@Work Newcomers@Work: Zwiększanie zatrudnialności młodych uchodźców oraz migrantów, którzy nie pracują, nie uczą się, nie studiują i nie dokształcają się

    Projekty

    Kierownik projektu: dr hab. Łukasz Sienkiewicz   Program finansujący: ERASMUS +

    Projekt realizowany w Katedra Przedsiębiorczości zgodnie z porozumieniem 2022-1-PL01-KA220-YOU-000089667

  • Changes in psychological distress among Polish medical university teachers during the COVID-19 pandemic

    Publikacja

    - PLOS ONE - Rok 2022

    Our study aims to update knowledge about psychological distress and its changes in the Polish group of academic medical teachers after two years of a global pandemic. During the coronavirus disease, teachers were challenged to rapidly transition into remote teaching and adapt new assessment and evaluation systems for students, which might have been...

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  • Application possibilities of LBN for civil engineering issues

    Bayesian Networks (BN) are efficient to represent knowledge and for the reasoning in uncertainty. However the classic BN requires manual definition of the network structure by an expert, who also defines the values entered into the conditional probability tables. In practice, it can be time-consuming, hence the article proposes the use of Learning Bayesian Networks (LBN). The aim of the study is not only to present LBN, which can...

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  • Multimedia polysensory integration training system dedicated to children with educational difficulties

    This paper aims at presenting a multimedia system providing polysensory train- ing for pupils with educational difficulties. The particularly interesting aspect of the system lies in the sonic interaction with image projection in which sounds generated lead to stim- ulation of a particular part of the human brain. The system architecture, video processing methods, therapeutic exercises and guidelines for children’s interaction...

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  • AffecTube — Chrome extension for YouTube video affective annotations

    Publikacja

    The shortage of emotion-annotated video datasets suitable for training and validating machine learning models for facial expression-based emotion recognition stems primarily from the significant effort and cost required for manual annotation. In this paper, we present AffecTube as a comprehensive solution that leverages crowdsourcing to annotate videos directly on the YouTube platform, resulting in ready-to-use emotion-annotated...

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  • AITP - AI Thermal Pedestrians Dataset

    Efficient pedestrian detection is a very important task in ensuring safety within road conditions, especially after sunset. One way to achieve this goal is to use thermal imaging in conjunction with deep learning methods and an annotated dataset for models training. In this work, such a dataset has been created by capturing thermal images of pedestrians in different weather and traffic conditions. All images were manually annotated...

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  • Spotkanie politechnicznego klubu sztucznej inteligencji

    Wydarzenia

    24-10-2019 17:30 - 24-10-2019 19:15

    Pierwsze w tym roku akademickim spotkanie klubu AI Bay – Zatoka Sztucznej Inteligencji, który działa na Politechnice Gdańskiej odbędzie się w Gmachu B Wydziału Elektroniki, Telekomunikacji i Informatyki (Audytorium 1P).

  • PPAM 2022

    Wydarzenia

    11-09-2022 07:00 - 14-09-2022 13:56

    The PPAM 2022 conference, will cover topics in parallel and distributed computing, including theory and applications, as well as applied mathematics.

  • Etyka zawodu architekta, III semestr, rok akademicki 2021/2022

    Kursy Online
    • P. Czyż

    Welcome to e-learning course of Architect's Proffesional Ethics. Classes will be conducted via TEAMS platform.  Link to clasess below: https://teams.microsoft.com/l/meetup-join/19%3ameeting_NGYyZjU0OTItMjgwZC00N2MxLTg5ZjItZDliZDY2YTNiNGUw%40thread.v2/0?context=%7b%22Tid%22%3a%2286760356-0022-486f-b793-a2d470bba5a5%22%2c%22Oid%22%3a%22744d498a-011e-4d0b-8a3d-08b49c9156ff%22%7d

  • Acoustical Standards Used in Design of School Spaces = Standardy akustyczne używane w projektowaniu przestrzeni szkoły

    Publikacja

    Artykuł prezentuje wytyczne projektowania akustyki wnętrz w pomieszczeniach szkolnych zawarte w europejskich i amerykańskich standardach technicznych. Opisane są także aktualne polskie przepisy odnoszące się do akustyki wnętrza. We wnioskach zaprezentowano wytyczne dla poprawy komfortu akustycznego w szkołach. // Design guidelines for interior acoustics in learning spaces included in European and American technical standards and...

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  • Augmenting digital documents with negotiation capability

    Publikacja

    Active digital documents are not only capable of performing various operations using their internal functionality and external services, accessible in the environment in which they operate, but can also migrate on their own over a network of mobile devices that provide dynamically changing execution contexts. They may imply conflicts between preferences of the active document and the device the former wishes to execute on. In the...

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  • Improving all-reduce collective operations for imbalanced process arrival patterns

    Publikacja

    Two new algorithms for the all-reduce operation optimized for imbalanced process arrival patterns (PAPs) are presented: (1) sorted linear tree, (2) pre-reduced ring as well as a new way of online PAP detection, including process arrival time estimations, and their distribution between cooperating processes was introduced. The idea, pseudo-code, implementation details, benchmark for performance evaluation and a real case example...

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  • The trajectories of the financial crisis of companies at risk of bankruptcy

    This article concerns the assessment of the trajectory of the collapse of enterprises in Central Europe. The author has developed a model of a Kohonen artificial neural network. This model was used to determine 6 different classes of risk and was allowed to graphically determine the 5- to 10-year trajectory of going bankrupt. The study used data on 140 companies listed on the Warsaw Stock Exchange. This population was divided into...

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  • Toward Intelligent Recommendations Using the Neural Knowledge DNA

    Publikacja

    - CYBERNETICS AND SYSTEMS - Rok 2021

    In this paper we propose a novel recommendation approach using past news click data and the Neural Knowledge DNA (NK-DNA). The Neural Knowledge DNA is a novel knowledge representation method designed to support discovering, storing, reusing, improving, and sharing knowledge among machines and computing systems. We examine our approach for news recommendation tasks on the MIND benchmark dataset. By taking advantages of NK-DNA, deep...

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  • Differentiating patients with obstructive sleep apnea from healthy controls based on heart rate-blood pressure coupling quantified by entropy-based indices

    Publikacja

    - CHAOS - Rok 2023

    We introduce an entropy-based classification method for pairs of sequences (ECPS) for quantifying mutual dependencies in heart rate and beat-to-beat blood pressure recordings. The purpose of the method is to build a classifier for data in which each item consists of two intertwined data series taken for each subject. The method is based on ordinal patterns and uses entropy-like indices. Machine learning is used to select a subset...

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  • Klasyfikator SVM w zastosowaniu do synchronizacji sygnału OFDM zniekształconego przez kanał wielodrogowy

    W pracy przedstawiono analizę przydatności klasyfikatora SVM bazującego na uczeniu maszynowym do estymacji przesunięcia czasowego odebranego symbolu OFDM. Przedstawione wyniki wykazują, że ten klasyfikator potrafi zapewnić synchronizację dla różnych kanałów wielodrogowych o wysokim poziomie szumu. Eksperymenty przeprowadzone w Matlabie z użyciem modeli modulatora i demodulatora wykazały, że w większości przypadków klasyfikator...

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  • Evidence for consolidation of neuronal assemblies after seizures in humans

    Publikacja
    • M. R. Bower
    • M. Stead
    • R. S. Bower
    • M. T. Kucewicz
    • V. Sulc
    • J. Cymbalnik
    • B. H. Brinkmann
    • V. Vasoli
    • E. K. ST.Louis
    • F. Meyer... i 2 innych

    - Journal of Neuroscience - Rok 2015

    The establishment of memories involves reactivation of waking neuronal activity patterns and strengthening of associated neural circuits during slow-wave sleep (SWS), a process known as "cellular consolidation" (Dudai and Morris, 2013). Reactivation of neural activity patterns during waking behaviors that occurs on a timescale of seconds to minutes is thought to constitute memory recall (O'Keefe and Nadel, 1978), whereas consolidation...

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  • Managerial Energy in Sustainable Enterprises: Organizational Wisdom Approach

    Publikacja

    - ENERGIES - Rok 2021

    The circular economy (CE) as an idea involves applying the concept of sustainable development that has been gaining worldwide support. This shift in perception of energy and resource-use from its linear to circular forms creates a specific business environment, which constitutes the subject of this research. This article aims to analyze the impact of a manager’s energy on organizational wisdom, focusing on its circular business...

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  • Wizualizacje w nauczaniu matematyki

    Publikacja

    Cały czas aktualizowana wiedza jest niezbędnym czynnikiem, który pozwala na poruszanie się we współczesnym świecie. Tylko nowoczesna edukacja jest dzisiaj w stanie zapewnić awans cywilizacyjny młodzieży. Jak widać, dostęp do mediów i właściwe stosowanie nowych technologii są niezwykle istotne nie tylko ze względu na wykorzystanie ich w procesie podnoszenia jakości i uatrakcyjniania kształcenia. Studenci nie mający możliwości...

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  • Tool Wear Monitoring Using Improved Dragonfly Optimization Algorithm and Deep Belief Network

    Publikacja
    • L. Gertrude David
    • R. Kumar Patra
    • P. Falkowski-Gilski
    • P. Bidare Divakarachari
    • L. J. Antony Marcilin

    - Applied Sciences-Basel - Rok 2022

    In recent decades, tool wear monitoring has played a crucial role in the improvement of industrial production quality and efficiency. In the machining process, it is important to predict both tool cost and life, and to reduce the equipment downtime. The conventional methods need enormous quantities of human resources and expert skills to achieve precise tool wear information. To automatically identify the tool wear types, deep...

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  • Piotr Figura dr inż.

      Piotr Figura jest pracownikiem Katedry Finansów na Wydziale Zarządzania i Ekonomii Politechniki Gdańskiej, a także członkiem Komisji Wydziałowej ds. Weryfikacji Efektów Uczenia się oraz recenzentem akademickim zadań z zakresu rachunkowości Centralnej Komisji Edukacyjnej. Jest autorem lub współautorem kilku monografii naukowych w tym: Wartości wzorcowe wskaźników finansowych przedsiębiorstw giełdowych; Classical and modern concepts...

  • Improving Effectiveness of SVM Classifier for Large Scale Data

    The paper presents our approach to SVM implementation in parallel environment. We describe how classification learning and prediction phases were pararellised. We also propose a method for limiting the number of necessary computations during classifier construction. Our method, named one-vs-near, is an extension of typical one-vs-all approach that is used for binary classifiers to work with multiclass problems. We perform experiments...

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  • Visual and auditory attention stimulator for assisting pedagogical therapy . Stymulator uwagi wzrokowej i słuchowej do wspomagania terapii pedagogicznej

    Publikacja

    Visual and auditory attention stimulator provides a system developed in order to improve reading skills using simultaneous presentation of text in its visual form and in transformed auditory form accompanied by related movie material. The described research employed 40 children at the age of 8 13 years having difficulties in learning of reading, who were diagnosed as having developmental dyslexia. It was shown that application...

  • Visual and Auditory Attention Stimulator for Assisting Pedagogical Therapy

    Publikacja

    - Rok 2018

    Visual and auditory attention stimulator provides a system developed in order to improve reading skills using simultaneous presentation of text in its visual form and in transformed auditory form accompanied by related movie material. The described research employed 40 children at the age of 8 13 years having difficulties in learning of reading, who were diagnosed as having developmental dyslexia. It was shown that application...

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  • Variability of relationship between cities and nature in landscape architecture= Zmienność relacji miedzy miastem a naturą na przykładzie architektury krajobrazu miast

    Publikacja

    - Rok 2018

    Interpreting and creating the relations between nature and city are the process of learning which is a subject of permanent conceptualization. It is characterized by the culutrality due to human nature and own ability to perceive oneself in the context of the relationship between own environmental and cultural nature. The way of interpreting the nature and providing it with different features affected significantly the development...

  • Comparative analysis of spectral and cepstral feature extraction techniques for phoneme modelling

    Publikacja

    - Rok 2018

    Phoneme parameter extraction framework based on spectral and cepstral parameters is proposed. Using this framework, the phoneme signal is divided into frames and Hamming window is used. The performances are evaluated for recognition of Lithuanian vowel and semivowel phonemes. Different feature sets without noise as well as at different level of noise are considered. Two classical machine learning methods (Naive Bayes and Support...

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  • Deep neural networks for data analysis

    Kursy Online
    • K. Draszawka

    The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

  • Muhammad Jamshed Abbass Phd in Electrical Engineering

    Osoby

    Muhammad Jamshed Abbass received the M.S. degree in electrical engineering from Riphah International University, Islamabad. He is currently pursuing the Ph.D. degree with the Wrocław University of Science and Technology, Wroclaw, Poland. His research interests include machine learning, voltage stability within power systems, control design, analysis, the modeling of electrical power systems, the integration of numerous decentralized...

  • A Concept of Automatic Film Color Grading Based on Music Recognition and Evoked Emotions

    Publikacja

    - Rok 2019

    The article presents the aspects of the final selection of the color of shots in film production based on the psychology of color. First of all, the elements of color processing, contrast, saturation or white balance in the film shots were presented and the definition of color grading was given. In the second part of the article the analysis of film music was conducted in the context of stimulating appropriate emotions while watching...

  • Influence of Escherichia coli on Expression of Selected Human Drug Addiction Genes

    Publikacja

    - Life - Rok 2021

    The impact of enteric microflora on the expression of genes associated with cocaine and amphetamine addiction was described. Human genome-wide experiments on RNA transcripts expressed in response to three selected Escherichia coli strains allowed for significant alteration (p > 0.05) of the linear regression model between HT-29 RNA transcripts associated with the KEGG pathway:hsa05030:Cocaine addiction after 3 h stimulation with...

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  • Optical glyphs based localization and identification system

    The paper presents a description of functioning of a platform supporting the detection of obstructive diseases in the respiratory system education process. A 16-parameter model of the respiratory system simulated in the MATLAB/Simulink environment was set in the role of the tested patient. It has been linked to the control layer, developed in the LabVIEW environment, using the SIT library (Simulation Interface Toolkit). This layer...

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  • An application supporting the educational process of the respiratory system obstructive diseases detection

    The paper presents a description of functioning of a platform supporting the detection of obstructive diseases in the respiratory system education process. A 16-parameter model of the respiratory system simulated in the MATLAB/Simulink environment was set in the role of the tested patient. It has been linked to the control layer, developed in the LabVIEW environment, using the SIT library (Simulation Interface Toolkit). This layer...

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  • Hossein Nejatbakhsh Esfahani PhD

    Osoby

    Since 2012 when I graduated in master of mechatronics engineering I've been dealing with kinds of control theory problems in both theoretical and practical perspective. I have five years of work experience in industrial automation area in Iran where I was swamped with some industrial-based control algorithms such as PID and MPC algorithms which were adopted to control some processes including steam turbine, gas turbine, casting...

  • SegSperm - a dataset of sperm images for blurry and small object segmentation

    Dane Badawcze

    Many deep learning applications require figure-ground segmentation. The performance of segmentation models varies across modalities and acquisition settings.

  • Load effect impact on the exploitation of concrete machine foundations used in the gas and oil industry

    Publikacja

    - Rok 2019

    Machine foundations is a critical topic in the gas and oil industry, which design and exploitation require extensive technical knowledge. Machine foundations are the constructions which are intended for mounting on it a specific type of machine. The foundation has to transfer dynamic and static load from machine to the ground. The primary difference between machine foundations and building foundations is that the machine foundations...

  • Train the trainer course

    Publikacja

    - Rok 2018

    This chapter presents the concept, evaluation and evaluation results for the train the trainer. This concept of train the trainers is prepared within Workpackage 5 of EU-funded project: MASTER BSR (Erasmus+ Strategic Partnership Programme). Due to the nature of adult learning the content is designed for the use of participatory methods (involved, active). This method uses various techniques of active learning e.g. group work,...

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