Search results for: ETHICS, COSTS, ARTIFICIAL INTELLIGENCE

• ARTIFICIAL INTELLIGENCE

  Journals

  ISSN: 0004-3702 , eISSN: 1872-7921

• ADCAIJ-Advances in Distributed Computing and Artificial Intelligence Journal

  Journals

  ISSN: 2255-2863

• 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.

  Publication

  • M. K. Gerigk
  • M. Gerigk

  - Per mare ad astra - Year 2023

  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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• Kazimierz Orłowski prof. dr hab. inż.

  People

  Institute of Manufacturing and Materials Technology

• Jerzy Balicki dr hab. inż.

  People

• International Journal on Artificial Intelligence Tools

  Journals

  ISSN: 0218-2130 , eISSN: 1793-6349

• AI EDAM-ARTIFICIAL INTELLIGENCE FOR ENGINEERING DESIGN ANALYSIS AND MANUFACTURING

  Journals

  ISSN: 0890-0604 , eISSN: 1469-1760

• ARTIFICIAL INTELLIGENCE REVIEW

  Journals

  ISSN: 0269-2821 , eISSN: 1573-7462

• Moshi Shibie yu Rengong Zhineng/Pattern Recognition and Artificial Intelligence

  Journals

  ISSN: 1003-6059

• Cognitive motivations and foundations for building intelligent decision-making systems

  Publication

  • Z. Kowalczuk
  • M. Czubenko

  - ARTIFICIAL INTELLIGENCE REVIEW - Year 2023

  Concepts based on psychology fit well with current research trends related to robotics and artificial intelligence. Biology-inspired cognitive architectures are extremely useful in building agents and robots, and this is one of the most important challenges of modern science. Therefore, the widely viewed and far-reaching goal of systems research and engineering is virtual agents and autonomous robots that mimic human behavior in...

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• Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network

  Publication

  • T. Niksa-Rynkiewicz
  • N. Szewczuk-Krypa
  • A. Witkowska
  • K. Cpałka
  • M. Zalasiński
  • A. Cader

  - Journal of Artificial Intelligence and Soft Computing Research - Year 2021

  Artificial Intelligence algorithms are being increasingly used in industrial applications. Their important function is to support operation of diagnostic systems. This paper pesents a new approach to the monitoring of a regenerative heat exchanger in a steam power plant, which is based on a specific use of the Recurrent Neural Network (RNN). The proposed approach was tested using real data. This approach can be easily adapted to...

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• Computational Intelligence - 2023

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence 2022

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski
  • H. Kormański

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2022/23

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - 2023/2024 sem.

  e-Learning Courses

  • Z. Kowalczuk
  • T. Białaszewski

  Widening the students knowledge about the selected methods of artificial intelligence

• Computational Intelligence - sem. 2023/2024

  e-Learning Courses

  Widening the students knowledge about the selected methods of artificial intelligence

• Andrzej Stateczny prof. dr hab. inż.

  People

  Prof. Dr. Andrzej Stateczny is a Professor of Gdansk Technical University Poland and President of Marine Technology Ltd. His research interests are mainly centered on navigation, hydrography and geoinformatics. Current RF research activities include radar navigation, comparative navigation, hydrography, artificial intelligence methods focused on image processing and multisensory data fusion. He has been the Principal Investigator...

• Rafał Leszczyna dr hab. inż.

  People

  Department of Informatics in Management

  Dr hab. Rafal Leszczyna is an associate professor at Gdansk University of Technology, Faculty of Management and Economics. He holds the M.Sc. degrees of Computer Science and Business Management. In December, 2006 he earned a Ph.D. in Computer Science, specialisation - Computer Security at the Faculty of Electronics, Telecommunications and Informatics of Gdansk University of Technology. Between 2004 and 2008 he worked in the European...

• Intelligence Augmentation and Amplification: Approaches, Tools, and Case Studies

  Publication

  • E. Szczerbicki
  • N. Nguyen

  - CYBERNETICS AND SYSTEMS - Year 2022

  Most experts agree that truly intelligent artificial system is yet to be developed. The main issue that still remains a challenge is imposing trust and explainability into such systems. However, is full replication of human intelligence really desirable key aim in intelligence related technology and research? This is where the concept of augmented intelligence comes into play. It is an alternative conceptualization of artificial...

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• Scheduling with Complete Multipartite Incompatibility Graph on Parallel Machines: Complexity and Algorithms

  Publication

  • T. Pikies
  • K. Turowski
  • M. Kubale

  - ARTIFICIAL INTELLIGENCE - Year 2022

  In this paper, the problem of scheduling on parallel machines with a presence of incompatibilities between jobs is considered. The incompatibility relation can be modeled as a complete multipartite graph in which each edge denotes a pair of jobs that cannot be scheduled on the same machine. The paper provides several results concerning schedules, optimal or approximate with respect to the two most popular criteria of optimality:...

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• Tacjana Niksa-Rynkiewicz dr inż.

  People

  Institute of Ocean Engineering and Ship Technology

  Tacjana Niksa-Rynkiewicz - doctor of science in the field of computer science (2011). The doctoral dissertation concerned issues related to the development of Artificial Intelligence methods, and more precisely the generalization of triangular norms in fuzzy neural systems. Currently, he is a researcher (assistant professor) at the Gdańsk University of Technology. He develops his skills and conducts research in the use of methods...

• Jan Cudzik dr inż. arch.

  People

  Department of Urban Architecture and Waterscapes

  Jan Cudzik (Ph.D. Eng. Arch.) is an assistant professor at the Department of Urban Architecture and Waterside Spaces at the Faculty of Architecture of the Gdańsk University of Technology and the head of the Laboratory of Digital Technologies and Materials of the Future. He is researching kinematic architecture, digital techniques in architectural design, digital fabrication, and forms of artificial intelligence in architecture...

• Optimal detection observers based on eigenstructure assignment. W: FaultDiagnosis. Models, artificial intelligence, applications. Ed. J. Korbicz, J.M. Kościelny, Z. Kowalczuk, W. Cholewa. Berlin: Springer Verlag**2004 s. 219-259, 7 rys. bibliogr. 41 poz. Optymalne obseratory detekcyjne oparte na strukturze własnej.

  Publication

  • Z. Kowalczuk
  • P. Suchomski

  - Year 2004

  Praca dotyczy analitycznych metod syntezy algorytmów detekcji uszkodzeń. De-finiując wektor resztowy jako ważony błąd uzyskanej oceny wyjścia danego o-biektu, poszukuje się takich obserwatorów stanu, dostarczających owych osza-cowań, dla których wektor resztowy jest w możlwie wysokim stopniu niezależnyod niemierzalnych zakłóceń oddziałujących na obiekt oraz od niemierzalnychszumów w torach pomiarowych. Rozważa się algorytmy...

• Patryk Ziółkowski dr inż.

  People

  Department of Engineering Structures

  Patryk Ziolkowski is a graduate of the Faculty of Civil and Environmental Engineering at the Gdansk University of Technology, specializing in Building and Engineering Structures. He works as an Assistant Professor at the Department of Engineering Structures. He participated in international projects, including projects for the Ministry of Transportation of the State of Alabama (2015), he is also the winner of a grant from the Kosciuszko...

• Artificial Intelligence in Medicine

  Conferences

• Hybrid System for Ship-Aided Design Automation

  Publication

  • M. Meler-Kapcia

  - Year 2011

  A hybrid support system for ship design based on the methodology of CBR with some artificial intelligence tools such as expert system Exsys Developer along with fuzzy logic, relational Access database and artificial neural network with backward propagation of errors.

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• Waldemar Korłub dr inż.

  People

  Waldemar Korłub obtained an Eng. degree in 2011, MSc.Eng. degree in 2012 and PhD in Computer Science in 2017 granted by the Faculty of Electronics, Telecommunications and Informatics at Gdansk University of Technology. His research interests include: distributed systems mainly grid and cloud computing platforms, autonomous systems capable of self-optimization, self-management, self-healing and self-protection, artificial intelligence...

• Idea zastosowania sztucznej inteligencji w prognozowaniu wpływu drgań komunikacyjnych na odpowiedź dynamiczną budynków mieszkalnych

  Publication

  • A. Jakubczyk-Gałczyńska
  • A. Kristowski
  • R. Jankowski

  - Year 2015

  W poniższym artykule autorzy analizują wpływ drgań komunikacyjnych na budynki mieszkalne oraz metodykę pomiarową według PN-85 B-02170 [1]. Problemem badawczym jest opracowanie prostej metody prognozowania wpływu drgań na budynki mieszkalne w taki sposób, aby nie było konieczne przeprowadzanie pracochłonnych i kosztownych pomiarów polowych. W tym celu wykonano analizę przy użyciu algorytmów opartych na sztucznej inteligencji oraz...

• European Conference on Artificial Intelligence

  Conferences

• Artificial Intelligence and Applications Conference

  Conferences

• Artificial Intelligence Applications and Innovations

  Conferences

• Artificial Intelligence in Medicine in Europe

  Conferences

• Artificial Intelligence in Knowledge Management

  Conferences

• Advanced Course on Artificial Intelligence

  Conferences

• Conference on Artificial Intelligence for Applications

  Conferences

• International Conference on Artificial Intelligence

  Conferences

• Argentine Symposium on Artificial Intelligence

  Conferences

• Conference in Uncertainty in Artificial Intelligence

  Conferences

• Portuguese Conference on Artificial Intelligence

  Conferences

• Deep learning in the fog

  Publication

  • A. Sobecki
  • J. Szymański
  • D. Gil
  • H. Mora

  - International Journal of Distributed Sensor Networks - Year 2019

  In the era of a ubiquitous Internet of Things and fast artificial intelligence advance, especially thanks to deep learning networks and hardware acceleration, we face rapid growth of highly decentralized and intelligent solutions that offer functionality of data processing closer to the end user. Internet of Things usually produces a huge amount of data that to be effectively analyzed, especially with neural networks, demands high...

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• Optymalizacja treningu i wnioskowania sieci neuronowych

  Publication

  • M. Blok
  • M. Pietrołaj

  - Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne - Year 2019

  Sieci neuronowe są jedną z najpopularniejszych i najszybciej rozwijających się dziedzin sztucznej inteligencji. Ich praktyczne wykorzystanie umożliwiło szersze użycie komputerów w wielu obszarach komunikacji, przemysłu i transportu. Dowody tego są widoczne w elektronice użytkowej, medycynie, a nawet w zastosowaniach militarnych. Wykorzystanie sztucznej inteligencji w wielu przypadkach wymaga jednak znacznej mocy obliczeniowej,...

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• Emotions Embodied in the SVC of an Autonomous Driver System

  Publication

  • Z. Kowalczuk
  • M. Czubenko

  - IFAC-PapersOnLine - Year 2017

  A concept of embodied intelligence (EI) is considered. None of such implementations can be fully identified with artificial intelligence. Projects that dare to approach AI and EI should be based on both the AI concepts (symbolic and sub-symbolic), in solving real problems of perception and decision-making. Therefore, the EI, in this paper, is understood as a methodology that uses all available resources and algorithms from the...

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• Wykorzystanie sztucznych sieci neuronowych do szacowania wpływu drgań na budynki jednorodzinne

  Publication

  • A. Jakubczyk-Gałczyńska
  • A. Kristowski
  • R. Jankowski

  - Materiały Budowlane - Year 2016

  W artykule przedstawiono metodę prognozowania wpływu drgań na budynki mieszkalne z wykorzystaniem sztucznych sieci neuronowych. Drgania komunikacyjne mogą doprowadzić do uszkodzenia elementów konstrukcyjnych, a nawet do awarii budynku. Najczęstszym efektem są jednak rysy, pękanie tynku i wypraw. Metody oparte na sztucznej inteligencji są przybliżone, ale stanowią wystarczająco dokładną i ekonomiczną alternatywę dla tradycyjnych...

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• Arsalan Muhammad Soomar Doctoral Student

  People

  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...

• Metody sztucznej inteligencji do wspomagania bankowych systemów informatycznych

  Publication

  • J. Balicki
  • H. Balicka
  • W. Korłub
  • J. Paluszak
  • M. Pastewski
  • P. Przybyłek
  • M. Zadroga
  • M. Zakidalski

  - Year 2013

  W pracy opisano zastosowania nowoczesnych metod sztucznej inteligencji do wspomagania bankowych systemów informatycznych. Wykorzystanie w systemach informatycznych algorytmów ewolucyjnych, harmonicznych, czy sztucznych sieci neuronowych w połączeniu z nowoczesną technologią mikroprocesorową umożliwiają zasadniczy wzrost konkurencyjności banku. Dlatego w pracy omówiono wybrane zastosowania bankowe ze szczególnym uwzględnieniem zbliżeniowych...

• Experience-based Intelligence Augmentation with Decisional DNA: Upcoming direction

  Publication

  • E. Szczerbicki
  • C. Sanin

  - Year 2022

  Intelligence amplification systems and technologies have gained significant interest from academia and industry during the past few decades. One of the main reasons behind this trend is the fact that most experts agree that truly intelligent artificial system is yet to be developed. The question increasing often asked is this: Is full replication of human intelligence desirable key aim in intelligence related technology and research?...

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• Michał Czubenko dr inż.

  People

  Department of Decision Systems and Robotics

  Michał Czubenko is a distinguished 2009 graduate of the Faculty of Electronics, Telecommunications, and Informatics at Gdańsk University of Technology, specializing in the discipline of automatic control and robotics. Currently, he serves as an adjunct in the Department of Robotics and Decision Systems at the same institution. In 2012, he embarked on a three-month internship at Kingston University London, broadening his horizons...

• Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers

  Publication

  • T. Shmelova
  • Y. Sikirda
  • N. Rizun
  • V. Lazorenko
  • V. Kharchenko

  - Year 2020

  This chapter presents the application of new information technology in education for the training of air traffic controllers (ATCs). Machine learning, multi-criteria decision analysis, and text analysis as the methods of artificial intelligence for ATCs training have been described. The authors have made an analysis of the International Civil Aviation Organization documents for modern principles of ATCs education. The prototype...

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• Ontology Engineering Aspects in the Intelligent Systems Development

  Publication

  • A. Czarnecki
  • C. Orłowski

  - LECTURE NOTES IN COMPUTER SCIENCE - Year 2010

  The ontology engineering encompasses both, artificial intelligence methods and software engineering discipline. The paper tries to address a selection of aspects pertaining to development activities such as choice of the environmental framework, functionality description, specification methods and roles definition. Authors refer to the ontology development projects they were involved in.

• International Symposium on Artificial Intelligence and Mathematics

  Conferences