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Wyniki wyszukiwania dla: DATA-CENTRIC AI.

Wyniki wyszukiwania dla: DATA-CENTRIC AI.

  • Data on LEGO sets release dates and worldwide retail prices combined with aftermarket transaction prices in Poland between June 2018 and June 2023

    Publikacja

    - Data in Brief - Rok 2024

    The dataset contains LEGO bricks sets item count and pricing history for AI-based set pricing prediction. The data spans the timeframe from June 2018 to June 2023. The data was obtained from three sources: Brickset.com (LEGO sets retail prices, release dates, and IDs), Lego.com official web page (ID number of each set that was released by Lego, its retail prices, the current status of the set) and promoklocki.pl web page (the retail...

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  • Collaborative Data Acquisition and Learning Support

    With the constant development of neural networks, traditional algorithms relying on data structures lose their significance as more and more solutions are using AI rather than traditional algorithms. This in turn requires a lot of correctly annotated and informative data samples. In this paper, we propose a crowdsourcing based approach for data acquisition and tagging with support for Active Learning where the system acts as an...

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  • Detecting type of hearing loss with different AI classification methods: a performance review

    Publikacja
    • M. Kassjański
    • M. Kulawiak
    • T. Przewoźny
    • D. Tretiakow
    • J. Kuryłowicz
    • A. Molisz
    • K. Koźmiński
    • A. Kwaśniewska
    • P. Mierzwińska-Dolny
    • M. Grono

    - Rok 2023

    Hearing is one of the most crucial senses for all humans. It allows people to hear and connect with the environment, the people they can meet and the knowledge they need to live their lives to the fullest. Hearing loss can have a detrimental impact on a person's quality of life in a variety of ways, ranging from fewer educational and job opportunities due to impaired communication to social withdrawal in severe situations. Early...

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  • Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices

    Publikacja
    • A. G. Pereira
    • A. Ojo
    • C. Edward
    • L. Porwol

    - Rok 2020

    There are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...

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  • Integration and Visualization of the Results of Hydrodynamic Models in the Maritime Network-Centric GIS of Gulf of Gdansk

    Publikacja

    - Rok 2016

    Ensuring of security in the coastal area makes on a seaside countries research in the field of infrastructure spatial information of environmental data. The paper presents the results of work on the construction of this infrastructure by integrating electronic navigational chart with ortophotomaps of coastal areas as well as numerical data from weather and hydrodynamic models. Paper focuses on a problems associated with creating...

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  • Big Data i 5V – nowe wyzwania w świecie danych (Big Data and 5V – New Challenges in the World of Data)

    Publikacja

    - Rok 2014

    Rodzaje danych, składające się na zbiory typu Big Data, to m.in. dane generowane przez użytkowników portali internetowych, dane opisujące transakcje dokonywane poprzez Internet, dane naukowe (biologiczne, astronomiczne, pomiary fizyczne itp.), dane generowane przez roboty w wyniku automatycznego przeszukiwania przez nie Internetu (Web mining, Web crawling), dane grafowe obrazujące powiązania pomiędzy stronami WWW itd. Zazwyczaj,...

  • Data Analytics Meeting

    Wydarzenia

    17-05-2024 08:30 - 18-05-2024 15:00

    Data Analytics Meeting Konferencja studentów i doktorantów

  • Source code - AI models (MLM1-5 - series I-III - QNM opt)

    Dane Badawcze
    open access

    Source 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.

  • ATOMIC DATA AND NUCLEAR DATA TABLES

    Czasopisma

    ISSN: 0092-640X , eISSN: 1090-2090

  • Arsalan Muhammad Soomar Doctoral Student

    Osoby

    Hi, I'm Arsalan Muhammad Soomar, an Electrical Engineer. I received my Master's and Bachelor's Degree in the field of Electrical Engineering from Mehran University of Engineering and Technology, Jamshoro, Sindh, Pakistan.  Currently enrolled as a Doctoral student at the Gdansk University of Technology, Gdansk, Poland. Also worked in Yellowlite. INC, Ohio  as a Solar Design Engineer.   HEADLINE Currently Enrolled as a Doctoral...

  • Data Warehouses 2023/2024

    Kursy Online
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

  • Applications of AI in Enterprise

    Kursy Online
    • J. J. Chabik

  • Data in Brief

    Czasopisma

    ISSN: 2352-3409

  • Development of a new generation of unmanned surface and underwater vehicles using the advanced technologies and achievements towards the application of control systems by the artificial intelligence AI.

    Publikacja

    The operation of offshore structures at sea requires implementation of the advanced systems of permanent monitoring of work of such the installations. Novel solutions concerning such the systems should be associated with application of unmanned maritime surface and underwater platforms. The unmanned maritime platforms are and will be based on application of the newest achievements of some important technologies. Between these technologies...

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  • Data Analysis in Bridge of Data

    Publikacja

    The chapter presents the data analysis aspects of the Bridge of Data project. The software framework used, Jupyter, and its configuration are presented. The solution’s architecture, including the TRYTON supercomputer as the underlying infrastructure, is described. The use case templates provided by the Stat-reducer application are presented, including data analysis related to spatial points’ cloud-, audio- and wind-related research.

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  • Automotive Industries AI

    Czasopisma

    ISSN: 0886-4675

  • Data Mining 2022/2023

    Kursy Online
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • Data Mining 2021/2022

    Kursy Online
    • W. Waloszek

    This is a web page for our course in Data Mining.

  • AI Tech start 2021

    Kursy Online
    • S. Zaporowski
    • T. Kocejko
    • A. Harasimiuk
    • M. Kaczmarek
    • A. Osimowicz
    • T. Neumann
    • J. Rumiński
    • J. Daciuk
    • J. Barszcz
    • B. Kostek... i 3 innych

  • AI Tech start 2022

    Kursy Online
    • A. Bujnowski
    • S. Zaporowski
    • T. Kocejko
    • A. Harasimiuk
    • M. Kaczmarek
    • A. Osimowicz
    • T. Neumann
    • J. Rumiński
    • J. Barszcz
    • B. Kostek... i 3 innych

  • Podstawy uczenia maszynowego AI

    Kursy Online

    Podstawy uczenia maszynowego. Machine Learning fundamentals.

  • Analiza danych AI 2024

    Kursy Online
    • K. Flisikowski
    • I. Mokwa-Tarnowska

    Statystyczna Analiza Danych - dr inż. Karol Flisikowski, prof. PG

  • Qualitative data analysis methods

    Kursy Online
    • M. Starnawska

    This is the continuation of Qualitatative Data Analysis Methods course provided online

  • Data librarian and data steward – new tasks and responsibilities of academic libraries in the context of Open Research Data implementation in Poland

    Publikacja

    Thesis/Objective – The policy of Open Access (OA) for researching resources in Europe has been implemented for more than 10 years. The first recommendations concerning providing OA to scientific materials were defined during the implementation of the 7th Framework Programme. Introducing another set of recommendations concerning OA to research data was the next stage. The recommendations were transformed into obligations under the...

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  • Data Structures (Doctoral Studies)

    Kursy Online
    • K. Goczyła

    The course covers basic data structures and computer algorithms used in information tehcnology applications. 

  • Data Mining Path

    Kursy Online
    • G. Gołaszewski
    • T. Zawadzka
    • A. Karpus
    • M. Wróbel
    • A. Przybyłek
    • W. Waloszek
    • A. Landowska

    Within this path, various issues regarding data mining and their practical application in various systems are discussed.   4 semestr specjalności ISI i ZAD

  • Reliable Document-Centric Processing in Loosely Coupled Email-Based Systems

    Publikacja

    - Rok 2015

    Email is a simple way to exchange digital documents of any kind. The Mobile INteractive Document architecture (MIND) enables self-coordination and self-steering of document agent systems based on commonly available email services. In this paper, a mechanism for providing integrity and reliability of such an email based agent system is proposed to cope with message soft or hard bounces, user interrupts, and other unexpected events....

  • Data Warehouses DE 2022/2023

    Kursy Online
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

  • Data Warehouses DE 2023/2024

    Kursy Online
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Data Engineering.

  • Algorithms and Data Structures 2022

    Kursy Online
    • R. Ostrowski
    • K. Manuszewski
    • T. Pikies
    • K. Wereszko
    • A. Jastrzębski
    • M. Jurkiewicz
    • T. Goluch

    WETI, DS, Algorithms and Data Structures

  • Data Warehouses 2022/2023

    Kursy Online
    • A. Nabożny
    • G. Gołaszewski
    • T. Zawadzka

    The aim of the course is to familiarize students with the development process of data warehouses for BI systems. The course is prepared for students of Informatics - 5th semester.

  • Harmony Search for Data Mining with Big Data

    Publikacja

    - Rok 2016

    In this paper, some harmony search algorithms have been proposed for data mining with big data. Three areas of big data processing have been studied to apply new metaheuristics. The first problem is related to MapReduce architecture that can be supported by a team of harmony search agents in grid infrastructure. The second dilemma involves development of harmony search in preprocessing of data series before data mining. Moreover,...

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  • Scientific Data

    Czasopisma

    ISSN: 2052-4463

  • Technical physics (Data Engineering)

    Kursy Online
    • S. Bielski

    Field of study: Data Engineering; Subject name: Technical physics; Lecture notes and other course materials.

  • AI-Based Computational Model in Sustainable Transformation of Energy Markets

    Publikacja

    - ENERGIES - Rok 2023

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  • Development of an AI-based audiogram classification method for patient referral

    Publikacja

    - Rok 2022

    Hearing loss is one of the most significant sensory disabilities. It can have various negative effects on a person's quality of life, ranging from impeded school and academic performance to total social isolation in severe cases. It is therefore vital that early symptoms of hearing loss are diagnosed quickly and accurately. Audiology tests are commonly performed with the use of tonal audiometry, which measures a patient's hearing...

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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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  • Zatoka Sztucznej Inteligencji – AI Event

    Wydarzenia

    25-03-2021 17:30 - 25-03-2021 19:20

    Seminarium Zatoki Sztucznej Inteligencji AI Bay i Hubu Innowacji Cyfrowych DIH4.AI

  • Mitigation of Fake Data Content Poisoning Attacks in NDN via Blockchain

    Publikacja

    Abstract—Information-centric networks struggle with content poisoning attacks (CPAs), especially their stronger form called Fake Data CPA, in which an intruder publisher uploads content signed with stolen credentials. Following an existing graphinfection based approach leveraging the constrained time when stolen credentials are useful, we design a blockchain-based mitigation scheme for Named Data Networking architectures. We postulate...

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  • Applications of AI methods in enterprise

    Kursy Online
    • R. Drozd
    • K. Flisikowski

  • Application of AI Methods in Enterprise

    Kursy Online

  • Human-centric Computing and Information Sciences

    Czasopisma

    ISSN: 2192-1962

  • The molecular entities in linked data dataset

    Publikacja

    - Data in Brief - Rok 2020

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  • Databases (Data Engineering) - 2022

    Kursy Online
    • A. Nabożny
    • G. Gołaszewski
    • M. Wróbel
    • A. Landowska
    • K. Goczyła

    The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

  • Databases (Data Engineering) - 2023

    Kursy Online
    • G. Gołaszewski
    • A. Karpus
    • M. Pykała
    • A. Landowska
    • K. Goczyła

    The course comprises basic and selected advanced issues of modern relational databases, including modelling, implementing and querying databases. It also refers to such important topics as normalization and transactional processing. The course is a necessary prerequisite to the Data Warehouses course. 

  • DATA INTEROPERABILITY AND THE OPEN DATA ECOSYSTEM: ROLES AND RESEARCH AREAS

    Publikacja

    - Rok 2023

    Sustainability and value-creation are considered important parameters to measure the success of an open data system. Unfortunately, existing open data systems are not meeting their promises to achieve a sustainable and value-based open data system. Van Loenen et al. (2021) proposed a sustainable and value-creating open data ecosystem. According to their study, the open data ecosystem needs to be user-driven, inclusive, circular,...

  • Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models

    Publikacja
    • A. Pereira García
    • L. Porwol
    • A. Ojo

    - Rok 2023

    High-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...

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  • Modeling of a re-heat two-stage adsorption chiller by AI approach

    Publikacja
    • J. Krzywanski
    • K. Grabowska
    • M. Sosnowski
    • A. Żyłka
    • K. Sztekler
    • W. Kalawa
    • T. Wójcik
    • W. Nowak

    - MATEC Web of Conferences - Rok 2018

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  • Data Quality Assurance 2024

    Kursy Online
    • P. Weichbroth

    Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Paweł Weichbroth Wykład: odbywają się zdalnie. Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu

  • Data quality assurance - 2023

    Kursy Online
    • P. Weichbroth
    • A. Wardziński

    Data quality assurance / Zapewnianie jakości danych 2023 Prowadzący: Andrzej Wardziński Wykład: od 13 marca, poniedziałki 13:15 sala NE Audytorium 2 Projekt w drugiej połowie semestru Kod dostępu do przedmiotu w eNauczanie będzie przekazany podczas pierwszego wykładu